Podcasts about denoise

This show has been flagged as Clean by the host. 01 Introduction This is a follow up to my 4 part series on simple podcasting. In this episode I will discuss a number of experiments with audio filtering. These experiments were inspired by comments by listeners and by other discussions about audio on HPR. I am not an audio expert, so I am doing this partly in order to learn something, but mainly in order to have a bit of fun. I hope that you find this entertaining as well. In a comment on the first episode a listener mentioned something called Solocast and said that the method bore a resemblance to the method that I was using. Here is his comment -------------------- 02 Comment #3 posted on 2026-04-03 07:49:58 by Reto It reminds me about Solocast Hi Whiskeyjack, I really liked your podcast and the topic. I cannot remember about your last, but the sound quality of this one was good on my mobile speakers :) The concept reminded me about the program from Norrist (another host on HPR), while similar does it have some differences HPR 3496 https://hackerpublicradio.org/eps.php?id=3496 As I am not on the future feed, I look forward to your next episode. Cheers, Reto -------------------- 03 End of comment. I did not recall having heard the episode on Solocast, but this sounded very interesting. Solocast was in HPR episode 3496 and was released by norrist on the 27th of December 2021. I listened to that episode and does indeed use use the same basic concept of recording short segments of audio and combining them later instead of creating one big recording and editing it with an audio editor. 04 The main difference is that the work flow that I described involves a lot of manual steps, while Solocast is a short Python program that automates the entire process of presenting your script, recording the segments, combining the segments, and filtering and normalizing the result. I won't try to describe Solocast in detail, instead I would recommend just listening to HPR episode 3496 to get norrist's explanation directly. -------------------- 05 While I wanted to make sure that I credited norrist with having come up with this concept four years before I did, this won't be the focus of this episode. Instead I will talk about audio filtering and various experiments that I ran on several different methods. 06 While looking at the source code for Solocast I noticed that it used a filtering method that resembled one used by Jivetalk, a podcast production program that caught the attention of one of the HPR community news presenters. This method involves taking a sample of quiet audio where there is no speaking taking place, and then using this as input to a noise reduction filter which is applied to the voice recording. The filter subtracts the quiet sample from the voice audio, which should theoretically remove the ambient noise. 07 I decided to apply this method to a number of different audio test recordings which were recorded under different circumstances using different hardware. In this way I could see if the method worked equally well under all circumstances or if there were some sorts of noise which it was suited to and some sorts that were not. 08 While I was at it, I also picked several other filter methods to see how they worked as well. Potentially, some methods may be better under some conditions while other methods were better suited to others. -------------------- 09 I won't present all of my experiments, as that would be a bit dull to listen to. Instead I will describe each method and then present audio samples which illustrate my conclusions. There are two pieces of audio software involved, both of which were also used in my series on simple podcasting. 10 The first is Sox, spelled s o x , and which is short for Sound Exchange. Sox is a command line program for audio manipulation. Sox is Free Software, released under the GPLv2 or later. The other is FFMPEG, which is also a command line program. FFMPEG is also Free Software, released under the LGPL V 2.1 or later, and GPL v 2 or later. Sox actually uses FFMPEG for certain operations. -------------------- 11 Audio Hardware For recording hardware I used the following. 12 Maxwell Headset The first is a cheap Maxwell headset that has an electrical noise problem. Unfortunately I don't have a model number for this headset. I described this hardware, the noise problems that I had with it, and how I created filters to deal with the noise in my series on simple podcasting. Briefly though, this is a headset that has a build in microphone on a boom which allows the microphone to be positioned close to the mouth. It connects with a USB cable. 13 Borne Earpiece and In-line Microphone This is a set of earplugs that go in your ears and connected by wires and a very small microphone built into a small bulge in the cable. It connects using a 3.5mm jack. The model number seems to be BUD250-BL. 14 XTrike Headset This is a gaming headset similar to the Maxwell headset described above. The model number is GH-510 It uses a USB connection. 15 Yanmai Condenser Microphone This is a microphone that comes with a small tripod stand. The model number is SF-910 It uses a 3.5mm audio jack. -------------------- 16 This is not a review of the hardware. Rather, I was trying to create audio problems so that I could test ways to fix them. Therefore, do not take the above list as a recommendation of what to buy. However, you can see that I am not using any expensive audio hardware. If you want to make an HPR podcast, you do not need professional level hardware. -------------------- 17 Audio Samples The audio samples are as follows 18 Quiet This was recorded in a quiet environment at my desk. This is my normal podcasting environment and represents optimal conditions. The main reason for this method is to see how the various filter methods perform when dealing with the electrical noise from the Maxwell headset. 19 Small fan This is a small USB powered table fan approximately 10 cm in diameter. It was located roughly 40 cm or less to the left of the microphone, although this varies depending on the microphone. 20 Traffic This was along a busy street with traffic noise in the background. -------------------- 21 Filter Methods Sox noisered Filter with Audio Profile This method uses the Sox noisered filter. Here is a brief quote from the Sox documentation on this filter. Quote Reduce noise in the audio signal by profiling and filtering. This effect is moderately effective at removing consistent background noise such as hiss or hum. To use it, first run SoX with the noiseprof effect on a section of audio that ideally would contain silence but in fact contains noise - such sections are typically found at the beginning or the end of a recording. End of quote For these tests I recorded a separate noise profile to go with each test. -------------------- 22 Basic Manual Filter This is a basic high and low pass filter pair based on the work I had done in my previous series on simple podcasting. However, based on the tests that I have done for this episode, I decided to get a bit more aggressive in terms of filtering. I use a high pass filter of 120 Hz, and low pass filter of 8 kHz. The each filter is then applied twice to increase its effect. I also added band reject filters to deal specifically with 50 and 60 Hz line noise. -------------------- 23 Complex Manual Filter This uses the manually constructed filter described in my series on simple podcasting. This uses the basic manual filter plus a series of custom bandreject filters to fix specific noise problems with the Maxwell headset. -------------------- 24 FFMPEG afftdn Filter The documentation describes this as "Denoise audio samples with FFT." -------------------- 25 FFMPEG arnndn Filter The documentation describes this as "Reduce noise from speech using Recurrent Neural Networks." -------------------- 26 FFMPEG agate Filter I will pronounce this as "agate" for convenience. The documentation describes this as "A gate is mainly used to reduce lower parts of a signal. This kind of signal processing reduces disturbing noise between useful signals." -------------------- 27 Method The experimental method used was to take each noise sample and apply the different filter methods to it. Where there are parameters which can be adjusted, a script was used to generate a series of different sample files with different parameter values. Not all possible parameters were experimented with, as the goal is to see which method produces what sorts of results under different circumstances, not to get the best possible result for the samples that I happen to have. The method in each case was as follows 28 Step 1 Convert the audio file to FLAC if it is not already in that format. 29 Step 2 Apply a basic high and low pass filter described previously to each sample. The reason for this basic filtering is that it eliminates at least some undesired noise in a fairly fool proof manner, leaving less for the more advanced filter to deal with. This should allow for a better test of the filter under realistic conditions. 30 Step 3 Apply the noise reduction filter being tested. 31 Step 4 Normalize the filtered sample to 17 LUFS according to the EBU R128 standard. The EBU standard is described in my series on simple podcasting. Normalizing adjusts the audio signal to a desired loudness level. This allows for more more consistent sound levels and allows us to hear the results under realistic conditions. I normalize the audio individually for each sample as different recording hardware requires different amounts of loudness adjustment. This is different from the typical podcast process where normalizing takes place as the very last step in the process, but it was necessary in this case. 32 Step 5 Concatenate selected sample audio files to one another to allow for better review and comparing. -------------------- 33 Results The results are grouped according to the type of noise which is being mitigated. This allows for easier comparison of the effectiveness of each technique under different circumstances. I have only picked a few examples of interest out of the numerous experiments that I conducted. -------------------- 34 Quiet Recording Environment with Maxwell Headset This compares how well the various filtering methods work on the noise induced by the electronics in the Maxwell headset. This electronic noise consisted of a noise spike every 1 kHz. This should be representative of electronic noise caused by problems in recording hardware. 35 Manual Filter The manual filter applied a narrow band reject filter every 1 kHz from 1 kHz to 12 kHz. This completely removed the otherwise audible whine caused by the noise. 36 FFMPEG afftdn This method allows for setting a noise floor and then specifying how much the noise floor should be reduced by. The method is very sensitive to getting the noise floor correct for that recording. Set the floor too low and nothing happens. Set it too high, and some distortion results. However it seemed to be moderately effective, but it would seem to require checking it and possibly adjusting it each time it is used. 37 FFMPEG agate This method allows setting a noise floor and then suppressing all sound which falls below that level. This method is very sensitive to getting the noise floor correct for that recording. If set too low (or quiet), it is ineffective. If set too high (or loud), it distorts words which come after a pause, which would typically be between sentences. 38 When set correctly, it completely removes noise in the silences between sentences. However, the noise is still audible during speech. This is because the noise in this case is a higher frequency than normal speech, and so stands out more. It may not be a significant problem for noise which is closer to the main vocal frequency band. Overall, this method is not suitable for this particular problem. 39 FFMPEG arnndn This method used the standard model. A variety of different noise reduction models are available. I only tested it with one, std.rnnn It does not seem to introduce much distortion in the voice signal even with a high amount of mix parameter. 40 However, it is only slightly effective at removing the whine from the signal, even with a high amount of mix parameter. Overall, this method does not appear to be useful for this sort of noise problem. 41 Sox noisered Filter This was effective in removing noise between words, but noise can be heard while words are being spoken. It was better than agate however. 42 Overall Conclusion for the Maxwell Headset Noise When dealing with narrow noise bands that occur at known frequencies, the manual filter is leagues ahead of any of the other tested alternatives. 43 Sample Audio Here is a sample audio recording showing the best overall results The sample is repeated, first with only basic low and high pass filtering, and then with the manually constructed filtering. In the first sample you should hear a high pitched background whine. In the second sample, the high pitched whine is completely removed. 44 (Audio sample inserted here.) -------------------- 45 Traffic Noise This was recorded using the Borne in-line microphone connected to a mobile phone while walking along beside a busy street. This was in dry cool spring weather, and the road was paved with asphalt. This should be reasonably representative of podcasting while walking outdoors in a noisy environment. 46 Basic Manual Filter This used the basic manual filter with high and low pass filters. This did nothing very useful in this case as the signal was already filtered within those limits by the recording hardware anyway. The low sample rate of 8 kHz in the phone limited the upper frequency to 4 kHz. Recall that the sample rate has to be twice the highest frequency that you want to detect. Overall, this is not suitable for this sort of problem. 47 FFMPEG afftdn With a high noise floor, background noise is reduced, but not eliminated. There was not much distortion in the voice. This is only slightly useful for this sort of problem. 48 FFMPEG agate With a high threshhold, background noise is reduced, but not eliminated. There was some distortion in the voice. The background noise could also be heard when speaking, but because the frequency of the background signal was similar to the louder voice signal, it was not as noticeable as it would have been if the two were very different. This is moderately useful for this sort of problem. It may be more useful in situations where the background noise was not quite as loud. 49 FFMPEG arnndn With high amounts of noise reduction, much of the background noise is suppressed, but there is not a lot of distortion in the voice. The background traffic noise is still present, but is significantly less. This offers only a moderate improvement. 50 Sox noisered Filter With small amounts of noise reduction voice is clear but traffic noise is present as a very significant continuous warbling sound in the background. This is no improvement on the original and in fact could be seen as making it worse. With moderate amounts of noise reduction, traffic noise is mostly gone, but there are still various squeaks present. Voice is noticeably distorted. With large amounts of noise reduction, traffic noise is gone but voice is highly distorted. This is moderately useful for this sort of problem, but requires careful adjustment. 51 FFMPEG arnndn Followed by FFMPEG agate This combined two different filters. First, it used arnndn to suppress the background noise to a lower level without much voice distortion. Then it applied the agate filter to suppress the noise levels between words still further. This used the same amount of mix and threshold as was found to be most effective when each of these filters was used on its own. The background noise is almost completely gone while distortion of the voice signal is low. 52 Overall Conclusion for Traffic Noise The arnndn combined with agate filters was the most successful at suppressing background noise while limiting the amount of voice signal distortion. 53 Sample Audio Here is an audio sample for what I felt to be the best overall results, the arnndn filter combined with the agate filter. First is the original audio with basic filtering. This is followed with the same audio after being passed through the arnndn and agate filters. 54 (Insert arnndn plus agate audio sample here) 55 Another Sample Here is a second audio sample showing the Sox noisered profile based filter. I have included this to show how a profile based filter can make things worse if you are not careful how you use it. This repeats the test audio 4 times. The first is with basic filtering only. The second uses low amounts of noise reduction. The third uses moderate amounts of noise reduction. The fourth uses high amounts of noise reduction. 56 (Insert noisered audio sample here) -------------------- 57 Small Fan Noise with Yanmai Microphone This was recorded using the Yanmai condenser microphone. A small fan was set up behind and to the left of the microphone. This is intended to represent situations where someone may have a fan or air conditioner running in the background due to hot weather, or has a loud computer fan. 58 A condenser microphone was used for this test as they are more prone to picking up unwanted noise. However, for practical recording purposes, this sort of microphone is unsuitable for this type of environment. 59 Basic Manual Filter This used the basic manual filter with high and low pass filters. This did nothing useful as the fan noise was in the same frequency range as the voice signal. This may be of more help in cases where the noise is below the 120 Hz cut off used in the low pass filter. 60 FFMPEG afftdn With high amounts of noise reduction, much of the background noise is suppressed, but there is some distortion in the voice. The background fan noise is still present, but is significantly less. Overall this is moderately effective. 61 FFMPEG agate This was effective in removing noise between words, but noise can be heard while words are being spoken. However, this was a small voice sample and it is possible that more problems could occur. With less fan noise than was in this sample this technique may work much better. 62 FFMPEG arnndn With high amounts of noise reduction, much of the background noise is suppressed, but there is not a lot of distortion in the voice. The background fan noise is still present, but is significantly less. Overall this was fairly effective. 63 Sox noisered Filter With small amounts of noise reduction voice is clear but fan noise is present as a slight warbling sound in the background. With moderate amounts of noise reduction, fan noise is gone, but voice is somewhat distorted. With large amounts of noise reduction, fan noise is gone but voice is very distorted. 64 In general this method is fairly successful at dealing with this sort of problem. However, there is a trade off between background noise and voice quality. Getting that trade off correct takes experiment and judgment for each specific situation. 65 FFMPEG arnndn Followed by FFMPEG agate This combined two different filters. First, it used arnndn to suppress the background noise to a lower level without much voice distortion. Then it applied the agate filter to suppress the noise levels between words still further. This got rid of virtually all of the background noise between words. If you listen carefully however, there is a slight buzzing sound in the voice signal. 66 Overall Conclusion for Fan Noise with Yanmai Microphone. Of the methods tested, the arnndn followed by agate filter seemed to offer the most improvement for the least effort and least voice distortion. The arnndn filter on its own seemed the next most preferable to me despite leaving some fan noise in the background. 67 Audio Sample Here is an audio sample for what I felt to be the best overall results, the arnndn filter combined with the agate filter. First is the original audio with basic filtering. This is followed with the same audio after being passed through the arnndn and agate filters. 68 (Insert audio sample here) -------------------- 69 Small Fan Noise Recorded with Headset The following is an observation rather than a filtering technique. When a recording was made using the Maxwell headset and listened to on the headset later or with speakers, the fan was virtually inaudible. When the same recording was listened to with the XTrike headset, it was barely audible with careful listening and only identifiable as a fan because I knew it was there. 70 In situations where there is ambient noise, the best noise reduction technique is probably to move the microphone as close to your mouth as possible, although not directly in front of it, and reduce the gain if there is a gain adjustment in the microphone. This will work far better than trying to remove the noise later. If you are recording an HPR episode at a desk, then an inexpensive headset with boom mike may do the job just fine with minimal effort and expense. -------------------- 71 Conclusions I have tested three noise scenarios - Electronic noise in the audio hardware at specific frequencies. Recording outdoors with an inline microphone in a noisy traffic environment. A noisy fan creating background noise in an office. My conclusions on these are as follows. 72 Electronic Noise in the Audio Hardware at Specific Frequencies If you can use Audacity or some other means to find the frequencies which are causing the noise, the best solution, assuming you don't just replace the hardware, is to manually construct filters to remove those specific frequencies. This is the safest solution in terms of only doing what you tell it to and not producing unexpected surprises some time down the road when something changed in the environment. 73 If you are looking for a fairly automatic filtering method, the Sox noisered profile based filter seems to work fairly well. There is an equivalent filter in ffmpeg, but I did not include that in my experiments as it is harder to use in a script because it does not use a separate noise profile file. 74 Recording Outdoors with an Inline Microphone in a Noisy Traffic Environment. In this situation, the FFMPEG arnndn combined with agate filters seem to be the most successful. The Sox noisered filter may work, but at the cost of more distortion in the voice than is seen in the other methods. 75 An inherent problem with any profile based noise reduction method is that if the background noise is not constant, which it seldom is in that sort of environment, the profile may not represent the background noise which is present later on in the recording. This risks adding more distortion in the voice as the profile and later environments diverge. 76 However, for this application a different microphone that provided a better recording would appear to be advisable. A solution which brought the microphone much closer to the mouth and so resulted in a better ratio of voice signal compared to background noise would appear to be necessary, after which the question of what sort of noise reduction to use would need to be re-evaluated. 77 A Noisy Fan Creating Background Noise in an Office. The Sox noisered filter and the FFMPEG arnndn, afftdn, and agate methods all work to some degree. However, they all need correct selection of parameters to achieve the proper results. When I compared all four methods side by side, I found the arnndn combined with the agate filter to be preferable in terms of the trade off between background noise reduction and distortion of the voice signal. The arnndn filter on its own seemed the next most preferable to me despite leaving some fan noise in the background. 78 However, that is a subjective judgment of a specific noise sample when recorded using a specific microphone. Keep in mind though that many listeners will not be listening in an idea environment. They may be doing things where background noise is present rather than in a very quiet room and so may find a small amount of background noise in the recording to be less of a problem than distortion in the voice signal which may make some words harder to understand. 79 When I conducted the same experiment recorded with the XTrike headset I found that arnndn seemed to offer no noticeable improvement. This may be because the amount of audible fan noise was far less with the XTrike headset to begin with. In other words, there is no single best solution here, and you may have to be prepared to try different options to see which one works in your situation. The important thing is to avoid making things worse by applying filtering that is not appropriate for that situation. The best method may be to use a recording method that doesn't pick up the fan noise to begin with. This can include just using a gaming headset with boom mic. 80 I have one final observation on this point regarding headsets. The Maxwell headset has a foam cover over the microphone while the XTrike headset does not. There was some slight audible wind buffeting noise picked up by the XTrike headset that was not observed with the Maxwell. This seemed to cause particular problems with the Sox noisered profile based filter, as this noise was irregular and after filtering would show up as a warbling sound. If you use a headset and plan to use it in conjunction with a fan, it may be advisable to apply some sort of wind cover over it. 81 Combining Complex Filters In several cases I found that combining several complex filters offered better results than using any single one on its own. The basic strategy though is to first use a method which is good at reducing undesirable noise without introducing excessive voice distortion. Then apply a different filter which is good at reducing small levels of background noise to an even lower level while affecting the voice signal as little as possible. This uses the relative strengths of different filter types to compensate for the weaknesses of the other. 82 Different combinations of filters were most effective for different types of problems. I did not try all possible combinations however. Perhaps a further exploration of this would be worth doing in a later podcast. -------------------- 83 Case Study - Noise in Another HPR Episode Audio In the comments to my second episode on Simple Podcasting (which is HPR4618) where I discussed basic filtering, a couple of listeners brought up an interesting point. Antoine mentioned "declicking" in a post. -------------------- Vance replied 84 Antoine, thanks for mentioning the click removal capability in Audacity! While I already knew about its noise removal filter, I wasn't aware it also had click removal. It might have helped me for HPR4637, where some sort of electromagnetic signal was picked up by my microphone/recorder, a Zoom H2 (the tapping sound was *not* present in the room where I recorded). While click removal does seem to distort speech when applied to it (though to my ears, it doesn't sound as weird as when noise removal is done with speech), I could have applied the filter only to the pauses, where the "tapping" is most noticeable. I will consider doing this in the event that I'm not able to eliminate the source of interference in the future, which would be the best way to go. -------------------- 85 End of quote. I found this interesting as it sounded like another audio problem that could be experimented with. I found a sample of the episode which had the clicks and cut a copy of that segment out to experiment with. These sounds are a series of clicks, or "ticks" would be another way to describe them, in the quiet part of the audio between sentences or phrases. 86 Next I used Audacity to study the sound spectrum. I found a massive 60 Hz noise spike. However, my speakers won't reproduce sound that low, and filtering this out didn't reduce the clicks. The clicks turned out to be bursts of noise across the 100 to 800 Hz band, which is right where the main vocal band also is. This makes it difficult to filter based on frequency. The most promising approach would seem to be to filter based on sound level. 87 I tried all of the individual audio filter techniques mentioned in the other experiments above. None produced satisfactory results except for agate, which makes quiet audio quieter. This completely suppressed the clicks. However, when applied to the entire episode it also distorted the start of a few sentences which began with single short syllables. 88 The agate filter has a number of parameters which could be adjusted to try to deal with these cases, although I did not spend the time to do so. Another solution to this distortion problem is to simply not apply the filter to those parts of the audio which are affected. If you record the audio as a series of small individual files, it would be easy enough to filter before concatenating the files together while skipping those files which contain audio which is not suited to this method. Here are the results of the experiments. 89 FFMPEG afftdn This reduces the size of of the ticks, but they are still present. However, they may be reduced to a level which is considered acceptable. 90 FFMPEG agate This was very effective in removing ticks with the right parameters. However, it can introduce some voice distortion in the form of cutting out the start of a few sentences which began with single short syllables. This can be corrected with a very short "attack" parameter to turn off the filter when it detects sound above a set threshhold. 91 FFMPEG arnndn This was relatively ineffective. 92 Sox noisered This was effective in removing the sounds between phrases. However, it introduces some distortion in the voice signal. 93 I also tried combining filters. FFMPEG afftdn Followed by agate This combined two different filters. First, it used afftdn to suppress the background noise to a lower level without much voice distortion. Then it applied the agate filter to suppress the noise levels between words still further. This got rid of virtually all of the background noise between words. 94 Here is a short audio sample from HPR4637. First is the unfiltered audio. Second is the filtered audio using the combined afftdn plus agate filters. Since the "clicks" are very quiet, you may not hear them unless you are in quiet environment. Quite a few listeners would probably not be aware of the perceived audio problem in this episode if it had not been discussed here. None the less, it makes for an interesting experiment. Here it is: 95 (Insert sample audio here) 96 Overall Conclusion for Noise "Ticks" The afftdn combined with agate filters seemed to offer the best overall results when used with the right parameters. However, the author, Vance, speaks very clearly and evenly, and so his voice is ideally suited for use with this filter. Another author's voice may not be as suited to this filter. 97 The Sox noisered profile based filter offers various degrees of trade off between suppressing noise and distorting the voice signal. As to whether this is an acceptable trade off depends on the particular voice in question and how easily understood it is under normal circumstances with out additional distortion. The afftdn filter may be a fairly safe filter to use on its own while producing acceptable if not perfect output. -------------------- 98 Overall Conclusions I have presented only a few of the experiments that I conducted. My overall conclusion after all of this is that there is no universal audio filtering method that works best in all circumstances. There are instead a number of tools in the toolbox, and picking the right one for the job takes a bit of trial and error. 99 However, if you have a repeatable recording environment, then once you have decided what tool you need you should create a script for it so you can have a repeatable processing setup. These conclusions apply to voice podcasting. Music has a different set of criteria and techniques that work well with basic voice podcasting may produce poor results when applied to music which has a broader range of frequency and just as importantly, a broad range of loudness. 100 If you are used to using filters and effects in Audacity, many of the settings on those correspond to arguments in the command line version of ffmpeg. It is worth learning how to use ffmpeg directly to automate your recording process. 101 The experiments that I conducted were greatly assisted by writing scripts which created multiple versions of audio files with different settings, thereby allowing me to try many different alternatives relatively easily. It also allowed me to concatenate different audio samples into a single audio file and so listen to different versions in quick succession, making subjective listening judgments more reliable. 102 It is important to keep in mind in all this that I am playing with audio filtering mainly to have fun. It is not necessary to do any of this if you think your podcast episode sounds just fine without it. So, don't let any of what I have talked about in all this discourage you from simply recording a podcast and sending it in as is. I will include copies of the filters I have described here in the show notes. -------------------- 103 Related Matters Hardware Characterization Using Audio Signals I found it useful to characterize the hardware that I had in order to understand its limitations better before starting the experiments. This involved playing a signal out through a set of speakers and then recording it through a microphone. 104 I used two types of signal for this. One is type of signal is known as a "chirp" signal. This is a sine wave that steadily increases in frequency as it sweeps across the audio spectrum. The standard audio range is 20 Hz to 20 kHz, but for my purposes I limited the upper frequency to 15 kHz to save time as anything beyond that is not very useful for voice podcasts. 105 By recording the chirp signal with a microphone and analyzing it with a Fourier transform, I could quickly see what each device was capable of. See my previous series on simple podcasting for an explanation of what a Fourier transform is and what software to use to see the results of it. Here is a chirp signal. 106 (Insert Audio Sample Here) 107 In addition to a chirp signal, I also used a series of simple tones of specific frequencies. By using these tones of known frequency I could gain an understanding of the limitations of my speakers and headphones, and just as importantly, my own ears. By understanding these limitations I was able to narrow the range of frequencies that I need to deal with quite considerably and set the high and low pass filters accordingly. These tones are a series of flac files generated with ffmpeg. 108 Here is a a sample audio tone at a 2 kHz frequency. 109 (Insert Audio Sample Here) 110 Copies of the script to create the chirp signal and the tones are in the show notes. -------------------- 111 A "Not a Review" of some of the Hardware that I Used I said that I would not do a review of the hardware that I used. However, some of it deserves mention for either how good or bad it was. I will record each section using the hardware being described. 112 Maxwell Headset This is my original recording hardware. This is a headset with boom mic and USB connection. There is no model number on it, so I don't know the model. This probably cost somewhere between 10 and 25 dollars. The earpieces sit on the ears and do not fully enclose them. This makes it light weight and comfortable to wear for extended periods of time. It has a problem however with electronic noise consisting of a noise spike every 1 kHz. I was able to fix this with a series of filters using FFMPEG. Fixing this problem is what got me started in understanding audio. I will probably continue to use this headset to make podcasts. 113 XTrike Headset, Model GH-510 This is also a headset with boom mic and USB connection. I purchased this headset for the purposes of experimentation for this podcast episode. It cost $12.88. I found it to be surprisingly good for the price. It has fully enclosed ear pieces however, which may make it uncomfortable to wear in hot weather. I may try doing some of my future podcasting using this headset. 114 Borne Earpiece and In-line Microphone This is a set of earplugs that go in your ears and connected by wires and a very small microphone built into a small bulge in the cable. It connects using a 3.5mm jack. The model number seems to be BUD250-BL. It cost approximately $3.00. I bought several sets of these and use them for listening to podcasts from an MP3 player. The ear pieces are pretty good for listening with. The microphone works reasonably well when used in a quiet location. It is less good when in a noisy environment. It is very important however to secure the microphone to your lapel or other location reasonably near your mouth and to point the microphone (that is the small hole) outwards and not simply let it dangle freely. If you let it just hang, you will get poor quality and inconsistent audio. 115 Yanmai Condenser Microphone, Model SF-910 I purchased this microphone for the purposes of experimentation for this podcast episode. It cost $3.88. As it is a condenser microphone, it is prone to picking up background noise more and as such is probably not a good choice for podcasting by single person sitting at a desk. However, it is none the less a surprisingly good microphone for surprisingly little money. 116 iCan USB Microphone, Model M-306 I purchased this microphone for the purposes of experimentation for this podcast episode. This has a USB connection. This was also relatively inexpensive at $7.99, or roughly twice the price of the Yanmai microphone. Unlike the Yanmai however, it is absolutely wretched. There was such a high degree of distortion when recording through it that I found I could not use it in the fan experiments which I had bought it for. I ended up buying the Yanmai microphone for that instead. -------------------- 117 Easy Effects Software The techniques described so far all involve recording audio files and then processing them later to produce the desired result. This is probably the simplest and most straightforward way of doing things if you are making a typical podcast. However, there may be instances where you want to apply filtering or other effects on the "live" signal immediately and not after the fact. 118 There is audio software which can hook into your computer's audio system and do this with a live signal. For Linux, there is a package called "Easy Effects". This is Free Software and comes under a GPL V3 or later license. I installed it from the Debian repository under Ubuntu 24.04. 119 You can create various filters and even chain them together to combine them. I played with it a bit but do not know enough about it to discuss it seriously at this time. However, I thought it would be worth mentioning for the sake of those who may wish to try it out themselves. -------------------- 120 Episode Conclusion After having had some fun with audio and listening to other HPR members talk about audio, I thought I would have some more fun by playing with noise reduction filters. I have no intention of becoming an audio professional, but by doing some experiments I learned a few things and had some fun doing it. I hope that the rest of you found this interest as well. I will see you all again later in another episode of Hacker Public Radio. -------------------- Scripts Basic Filter This shows basic high and low pass filters ( 120 Hz and 8 kHz respectively) and band reject filters for 50 and 60 Hz. # The high and low pass filters. hlpfil="highpass=f=120, highpass=f=120, lowpass=f=8000, lowpass=f=8000" # Band reject filters filter for 60Hz and another for 50Hz. linefil="bandreject=f=60:width_type=h:w=20, bandreject=f=50:width_type=h:w=20" # Filter using ffmpeg. ffmpeg -i inputfile.flac -af "$hlpfil, $linefil" outputname.flac # ====================================================================== afftdn Filter # noisefloor should be between 20 and 80. noisefloor=$1 # Run the noise reduction. ffmpeg -i testrec-filtered.flac -af "afftdn=nr=10:nf=-""$noisefloor" tmptestrec.flac # ====================================================================== agate Filter # threshold shoud be between 10 and 80. threshold=$1 # Run the noise reduction. ffmpeg -i testrec-filtered.flac -af "agate=threshold=-"$threshold"dB:range=-60dB" tmptestrec.flac # ====================================================================== arnndn Filter # mix should be between 0 and 1. mix=$1 # Run the noise reduction. ffmpeg -i testrec-filtered.flac -af 'arnndn=model=std.rnnn:mix='"$mix" tmptestrec.flac # ====================================================================== sox noisered Filter # Generate the noise profile from a sample of background noise. sox silencefiltered.flac -n noiseprof noise.prof # nramount shoudl be between 0 and 1 sox testrec-filtered.flac noiseout-testrec.flac noisered noise.prof "$nramount" # ====================================================================== Manual Filter for Maxwell Headset Noise # Create a series of band reject filters, from 1 kHz to 11 kHz. ftemplate="bandreject=f=%s000:width_type=h:w=100" kilospikefil=$( seq 1 11 | xargs printf "$ftemplate," ) # Using ffmpeg ffmpeg -i testrec-filtered.flac -af "$kilospikefil" tmptestrec.flac # ====================================================================== Create a "chirp" signal # Start frequency. f0=20 # End frequency. f1=15000 # Duration of signal. duration=10 ffmpeg -f lavfi -i "aevalsrc=sin(2 * PI * (0.5 * ($f1 - $f0)/$duration * t^2 + ($f0 * t))):s=44100:d=$duration" -c:a flac -af "aformat=sample_fmts=s16" chirp.flac # ====================================================================== Generate Audio Tones toneout () { printf -v freqval "%05d" $1 ffmpeg -f lavfi -i "sine=frequency=$freqval:duration=3" tmptone.flac # Normalize ffmpeg -i tmptone.flac -af loudnorm=I=-17:TP=-2.0:LRA=4.0 -ar 44.1k -sample_fmt s16 tone$freqval.flac rm tmptone.flac } # List of frequencies in hertz. freqlist="50 60 100 120 130 140 150 160 170 200 500 1000 2000 3000 4000 5000 6000 7000 8000 9000" for freq in $( echo $freqlist ); do toneout $freq done # ====================================================================== Provide feedback on this episode.

IA photoréaliste en 3D, retouche et vidéo boostées à l'IA, compression intelligente pour les LLM, polémique GitHub sur l'usage des données, Wikipédia qui résiste à l'IA, agents autonomes façon “Stack Overflow”, anecdote cybersécurité avec Brave, cafards cyborgs et drones policiers futuristes. En seconde partie : voitures électriques en tension, ambitions lunaires de la NASA, propulsion nucléaire vers Mars et avenir du jeu vidéo sur Linux.  Me soutenir sur Patreon Me retrouver sur YouTube On discute ensemble sur Discord Modèles de la semaine Gaussienes vs textures, pourquoi choisir ? Pixel Smile, Autogaze, Denoise, le DLSS 5 de Meta. Lyria s'allonge, Apple distille ses Gemini. Finalement, Github va aussi utiliser vos données. Bouclage de boucle : un stack overflow pour agents. Plus d'IA pour Wikipedia. Mais toujours des Wiki. La terre est blatte : des cyborgs dégueu inspectent les canalisations. Drone de fer : la police, bientôt comme dans Cyberpunk. Moonshots La voiture de Sony, qu'est-ce qu'elle Afeela ? TSMC au taquet, ARM choisit son moment pour revenir… Nec core Ultra ? Intel casse les prix. Mais c'est le seul. Un portable très LG sur la consommation. En fusion, la NASA vise la Lune. Jeu sous Linux, Wine est enfin synchro. Participants Une émission préparée par Guillaume Poggiaspalla Présenté par Guillaume Vendé

In this episode of the Wild Eye podcast, Gerry confronts the "identity crisis" currently dividing wildlife photographers. He argues that if you use Lightroom masking, Denoise, or Topaz, you are already using AI. Whether you admit it or not.Gerry explores how synthetic imagery is rapidly consuming the entry-level market and why the "lived experience", the wind on your face and the physical grit of the bush, is your last true differentiator. He provides a practical framework for using captions as "proof of presence" and shares an ethics statement to help photographers draw their own line between technical enhancement and digital fabrication.The episode concludes with a direct challenge: stop the existential crisis, define your "why," and decide exactly where you stand in this new reality.Vsit the Wild Eye website: https://wild-eye.com

HT2285 - Fast Lenses in the Age of DeNoise and LensBlur I use shallow depth of field less frequently than a lot of photographers, probably because I don't shoot many portraits. Nonetheless, I've always carried a fast prime for those occasions when I might need it. Truth be told, I can't remember the last time I used it. According the EXIF data in Lightroom, it was 6 years ago for a few shots and before that was in 2013. Do I still need a fast prime? Show your appreciation for our free weekly Podcast and our free daily Here's a Thought… with a donation Thanks!

HT2206 - Fast Lenses Are Less Important to Me Now Such fascinating technological times we live in! I used to fret and fuss over the fastest lens I could buy in order to keep the ISO as low as possible and the depth of field shallow. But now with DeNoise and Lens Blur via software, I'm perfectly comfortable with a slower lens. Software doesn't work every time, but it does enough times and I don't feel it's necessary to own those really fast lenses.

Intervista di Daniele Di Ianni a Tobia dei Denoise per l'uscita di "Lovesong".

This week on The Pro Audio Suite, we tackle the intricate world of recording on the go. With the ever-increasing demand for mobility in voiceover work, we dissect the use of shotgun mics in less-than-ideal environments, the golden rule of getting your setup right from the start, and the tempting but perilous path of "fixing it in the mix". Our conversation veers into the high stakes of recording from the road, dubbed the black belt of audio recording, where knowing your tools inside out is paramount. We scrutinize the effects of overusing plugins like Isotope, Waves Clarity, and Acorn's latest offerings, especially the trade-offs between noise reduction and the dreaded d-reverb, and their impact on audio fidelity. Moreover, we explore practical strategies for minimizing room reverb without sacrificing the room's aesthetics, leveraging the latest AI and machine learning technologies for a cleaner sound, and the importance of recording a clean, unprocessed track as a safety net. Join us as we ensure you're equipped to record high-quality audio, no matter where you are. A big shout out to our sponsors, Austrian Audio and Tri Booth. Both these companies are providers of QUALITY Audio Gear (we wouldn't partner with them unless they were), so please, if you're in the market for some new kit, do us a solid and check out their products, and be sure to tell em "Robbo, George, Robert, and AP sent you"... As a part of their generous support of our show, Tri Booth is offering $200 off a brand-new booth when you use the code TRIPAP200. So get onto their website now and secure your new booth... https://tribooth.com/ And if you're in the market for a new Mic or killer pair of headphones, check out Austrian Audio. They've got a great range of top-shelf gear.. https://austrian.audio/ We have launched a Patreon page in the hopes of being able to pay someone to help us get the show to more people and in turn help them with the same info we're sharing with you. If you aren't familiar with Patreon, it's an easy way for those interested in our show to get exclusive content and updates before anyone else, along with a whole bunch of other "perks" just by contributing as little as $1 per month. Find out more here..   https://www.patreon.com/proaudiosuite     George has created a page strictly for Pro Audio Suite listeners, so check it out for the latest discounts and offers for TPAS listeners. https://georgethe.tech/tpas If you haven't filled out our survey on what you'd like to hear on the show, you can do it here: https://www.surveymonkey.com/r/ZWT5BTD Join our Facebook page here: https://www.facebook.com/proaudiopodcast And the FB Group here: https://www.facebook.com/groups/357898255543203 For everything else (including joining our mailing list for exclusive previews and other goodies), check out our website https://www.theproaudiosuite.com/ “When the going gets weird, the weird turn professional.” Hunter S Thompson     And don't forget that code trip to 100 for $200 discount on your tribooth and Austrian audio making passion heard. Now, a different kind of microphone is the shotgun, which is kind of handy if you're in a not-so-perfect situation. But a lot of people are recording and doing voiceovers from places that they probably shouldn't. So do you fix it in the mix or do you get your shit together in the beginning? : Got to get your shit together in the beginning. Don't think there's any question, really. : Well, do you want to tell your client that you're not where you should be or do you want to try to hide it? Or do you want to just fess up to it? Because I think that hide it well, then obviously you're going to get really good at whatever it is. Isotope and waves clarity. And there's some new stuff from acorn, I think. Speaker C: Yeah, that's why I call recording from the road like the black belt of audio recording, because you really have to know all the tools and all the techniques to pull it off and have it still sound as close as possible to a studio recording. It's not easy unless you have a lot of experience. : If you work any of those things too hard and you're going to hear it, that's the thing. You can hire the best audio engineer in the world, but if you stand in the middle of a bathroom with an open microphone, there's only so much he can clean up before you start hearing the whole it's lost a bit of fidelity thing. : Well, only the voiceover bodysuit is designed for that. : Yes, well, that's the thing exactly. I mean, think once the passport Vo is out, that's the next project is the pro audio suite. Speaker A: Yeah. Speaker C: Every plugin that has to do some kind of an algorithm or a digital filter to the audio to remove something causes an artifact at some point, even. : On a subtle level, it takes a little bit of life and reality away to it, and it approaches more of what is probably eventually going to be known as like an AI sort of sound. Speaker C: It could be. Yeah, I mean, I'm already used to rx ten voice. Denoise. I know what it sounds like. I'm immediately always turning it down. Someone's like, I use this plugin and I'm like, twelve DB of reduction is too much, man. : You can always tell when people choke down on the signal too much. And what happens is they start listening to their own stuff and they don't always reference back to the original to see how much you've improved it, because you can overdo it for sure. : Oh, absolutely. Speaker C: People apply this stuff blindly. They don't really have a critical ear. And of course, it's harder to even have a critical ear when you're traveling again. Henceforth, the black belt reference. It's a lot harder to get that same sound consistently when you're on the move. True. : But the thing that does that's noise reduction. But the thing for me that does more damage is d reverb. D reverb is so destructive. Like, just let's call it a quarter turn for whatever you're on. And I reckon you start hearing it. : And which one is that in particular? Because there's the wavelength, but I don't. : Know of any that will deal with serious room reverb and do it cleanly. Speaker C: No, this is the way all these plugins are, guys. The more in your mind you're thinking, I really need this plugin, the worse it's going to sound. : Yeah, true. And then you run them together, run some noise reduction and dereverb and see what happens. That's just like death. Speaker C: It's awful sandy grain. And you have to run them in the right sequence, too. If you got to run multiple reduction tools, they have to be running the right way, the right sequence. Agreed. It's not up. There's a television personality here in the States named David Pogue, and we set up his home studio with what was the minimal, I think, treatment you could get away with. Right. It's a decent sized home office, high ceiling. I didn't want it to look like a studio know stuff covering everything. So we did what we could to still have it look like a nice space to be in. In the end, it still had some reverb. And so when I showed him how to use clarity VXD reverb, he was thrilled because we had already dealt with 95% of the reverb. Right. It was already really good, but there was still a tail. You still had some room tail that was there. So then when he used the clarity VX to reverb it sounded amazing, and he was thrilled. And he's like, I use it on everything. I use it on everything now that I do. And that's because we did our due diligence to get as rid of as much of it as possible. And that's how all these plugins that modify the original audio using algorithms and AI, that's how they all have to work. Now, the AI stuff is a whole different kind of a ballgame. So the ability to do it with less artifacts is definitely becoming a thing. That's why I think the clarity VXD reverb is so good because it's based on machine learning. But you still can't have a room with a reverb tail of two or 3 seconds and just make it sound like a dead studio. : No, I've heard people try, though. That's the thing. Yeah, I've heard people try not happen. Yeah. Just crazy. : It's funny. Obviously, we all look at social media and you see posts from voice talent in their so called booth, or their part of the room where they record. And that was the thing that I was looking at the other day, and I saw one and thought, God, how the hell does that work? Or are they just getting away with it? I don't know. But then that was why I thought, well, I might as well just set up out here. And I mean, this is not ideal by any means. The only thing I've got really in front of me is a couple of those oralx gobo kind of panels. But I've got a hard desk, I'm on a concrete floor. My actual, all my outboard gear and everything in screens are to my left. And there's no treatment in this room at all. : Yeah, I mean, you're lucky in the beginning, though, that you were in such a quiet location to begin with. I know the rooms because the right. : Mic and the right placement, you can get away with the acoustics, you can do a lot, but noise, you're immediately having to use tools that are going to leave their impression on it. I would say that whoever is doing this, until you are so confident with it, figure out how to also record a clean, unprocessed track while you're doing. : The session, at least. : Yeah, as clean as you possibly can before you start dialing in noise reduction and dereverbs and stuff. Speaker C: Absolutely. Yeah. : Just somehow capture it both processed if you need to deliver it processed, but capture onto your hard drive just your microphone. : Yeah. Speaker C: That's what's so cool about this little tula mic. Remember, I did the appearance a few weeks ago from my folks house. A little cute green. I'm holding it. Now, that thing can record through the Bruce free noise reduction algorithm and dry simultaneously to its internal memory or through the USB. So you get both the dry and the noise reduction version of everything you do. : Wow. Speaker C: Which is awesome. : That's cool. Speaker C: That makes it something I would feel way more comfortable using in the field. Not that it's an amazing mic. I would probably pick a better mic, but still, the idea that was thought of is really brilliant. : I think Michael's going to have that next week with the Portcaster AI. Isn't it going to have the Deverb and the denoise knob? Speaker C: I don't know. Is this a scoop? I hadn't heard about that yet. It needs to go in a little. : Baggie, but yes, it's a scoop. : Wow. Speaker C: Okay. : No, I don't think we're getting the AI chip on our interface, but yeah. Speaker C: No, we're going purest. The passport po is purest. : It is. And so it should be. Yeah. So anyway, what's the wash up on this one? Just make sure that you have the best space possible, which we always say. : And then get as close to perfection as you can. And then use it with some restraint, I guess is the word. : And consider capturing an unprocessed version just in case. : And yes, I know, I know that Us audio engineers get this stuff and slap reverb all over it, but it's different. : That's right. But I've already got reverb on it for you. You don't have to worry about that, bitchambo. Yeah, exactly. And don't use Robert's setup for your voiceovers, whatever you do, for God's sake. : And on that note, thanks for joining us this week. It's been a great show. : Thank you, Mr. Letterman. : Yes, and thank you, road. : It only took us three years to find these glowing buttons. : Well, that was fun. Speaker B: Is it over? Speaker A: The pro audio suite with thanks to tribut and austrian audio recorded using source Connect, edited by Andrew Peters and mixed by Voodoo Radio Imaging with tech support from George the tech Wittam. Don't forget to subscribe to the show and join in the conversation on our Facebook group. To leave a comment, suggest a topic, or just say, g'day. Drop us a note at our website, theproaudiosuite.com.  

HT1814 - ISO 12,800 Revisited In my film days, I shot mostly using ASA 25 film for the finest grain possible. To this day, my natural reflex is to shoot at the lowest ISO on my digital camera. Recently, I shot an entire project using ISO 6400 and ISO 12,800, processed using Lightroom's new DeNoise tool. Wow. A full 9 stop improvement over my film days!

How much are your photobooks worth, and where can you get an idea of their value? Today, the investments that are, photo books, how to use pic-time to sell your work as fine art prints, understanding native and base ISO, the wonder Lightroom's Denoise, why professional photographers won't want to use in-camera ai to process pictures on the fly, which focus method should I use in my X-T5, or which works best? Also which pictures good enough to deliver would you hold back from a client due to the content, a question of Nikon that only the Internet can answer on our behalf, personal project advice and resolution needed to make ‘mahoosive' prints. Email the show with your questions: click@fujicast.co.uk  Pic Time: https://www.pic-time.com/ - use FUJICAST when creating an account for discount offers to apply For links go to the showpage.

Blender's recent surge in popularity has not shown any signs of slowing. As artists pick it up for the first time and discover how powerful it is, they often wonder whether it's capable of being used to create their favorite movies, games, and shows. In this episode, Kent Trammell and Jason van Gumster, two of our Blender experts here at CG Cookie, sit down with the visual effects pros Henning Sanden and Morton Jaeger of FlippedNormals to talk about Blender's place in their industry. You can read more about this episode on our blog. Denoise is a podcast about Blender, from the folks at CG Cookie. If you're interested in leveling up your skills in Blender and supporting what we do, check out our extensive library of courses on cgcookie.com and subscribe to our YouTube channel.You can follow Morton and Henning's work at flippednormals.com or their YouTube channel.

Creativity is, at its essence, a type of problem-solving. It is fundamental to our work as 3D artists and needs to be cultivated over time. Not everyone goes about that the same way. In this episode, the CG Cookie instructors Wayne, Kent, and Jonathan talk about their journeys in creativity and how to get inspired.You can read more about this episode on our blog. Denoise is a podcast about Blender, from the folks at CG Cookie. If you're interested in leveling up your skills in Blender and supporting what we do, check out our extensive library of courses on cgcookie.com and subscribe to our YouTube channel.

Neural network-based text to image generators have been around for quite a while now, but only in the last year or so have gotten good enough to capture the attention of the general public and force us to ask real questions about the value of art and artists.One big reason they have improved since the days of blurry 240p results is because of the vast amount of data, i.e. images, that they're trained on. Many of these images are copyrighted by companies or individual artists and can be closely replicated by the generator if given the right prompt. The question of whether or not the practice of training an AI on copyrighted data is legal is still up for debate in court, but regardless of the technical legality, many artists are understandably furious that their own past work is being used to render their future services less necessary.In this episode, Kent, Tim, Kyle, and Dr. Denning share their thoughts on the rapidly evolving and impossible to ingnore technology. You can read more about this episode on our blog. Denoise is a podcast about Blender, from the folks at CG Cookie. If you're interested in leveling up your skills in Blender and supporting what we do, check out our extensive library of courses on cgcookie.com and subscribe to our YouTube channel.

We all struggle with getting noise in our images from time to time. Unfortunately, noise can lead to our images looking a little less sharp and clear as we would like, particularly if you have a crop frame camera, which doesn't handle noise as well as your full frame counterparts! Although you can (and should!) do your best to minimise noise in camera, there are always going to be situations when we have to push our ISO higher than we would like, which is when we need to fix it in editing. And that's where the Denoise feature comes in! So today, I'm going to talk about how this tool works, along with 4 tips to help you get the best results, so that you can get rid of noise in your photos literally in seconds. You'll learn: Where to find the DeNoise Tool in Lightroom Classic How to use it to remove noise in your photos in seconds When you should use this in your editing workflow (and why it's REALLY important to do it at this time!) The type of files you can use this on (and the ones you can't) What to do if you don't get the results you were looking for. DOWNLOAD THE FREEBIE!

Making mistakes is an inevitable part of learning any discipline, and we've all made more than our fair share while working in Blender. In this episode, Jonathan, Chris, and Martin talk about what tripped them up along their journey to becoming Blender artists and how to navigate the common traps most artists face when starting out. You can read more about this episode on our blog. Denoise is a podcast about Blender, from the folks at CG Cookie. If you're interested in leveling up your skills in Blender and supporting what we do, check out our extensive library of courses on cgcookie.com and subscribe to our YouTube channel.

Jay, Jason, and Jonathan get together to talk about why Blender's license matters. Most people know that Blender is free, but not everyone knows that wasn't always the case or how its current license, the GPL, impacts what one legally can and can't do with the software. At CG Cookie, Blender Market, and Orange Turbine, their livelihoods directly depend on Blender's license. It's safe to assume they understand it well and have some thoughts on the topic.You can read more about this episode on our blog. Denoise is a podcast about Blender, from the folks at CG Cookie. If you're interested in leveling up your skills in Blender and supporting what we do, check out our extensive library of courses on cgcookie.com and subscribe to our YouTube channel.

Jonathan, Kent, and Adrian discuss what it was like to learn Blender, why learning any 3D software is universally experienced as challenging, and what beginners can reasonably expect to be able to accomplish at different points along their Blender journey. You can read more about this episode on our blog. Denoise is a podcast about Blender, from the folks at CG Cookie. If you're interested in leveling up your skills in Blender and supporting what we do, check out our extensive library of courses on cgcookie.com and subscribe to our YouTube channel.

Tim von Reuden, our friend and former CG Cookie concept instructor, drops by to talk to Kent, Wayne, and Jonathan about the story, visuals, and importance of Blender's latest short film, Charge.You can read more about this episode on our blog. Denoise is a podcast about Blender, from the folks at CG Cookie. If you're interested in leveling up your skills in Blender and supporting what we do, check out our extensive library of courses on cgcookie.com and subscribe to our YouTube channel.

The folks behind Pixelmator Pro have just released Photomator for Mac, iPhone, and iPad, and it's won us over. Designed as a straightforward photo editor (versus the can-do-everything that is Pixelmator Pro), Photomator is surprisingly deep for an app that on the surface is non-intimidating. In this episode, we look at the new Mac version and why it's likely to become Kirk's main photo editor. Hosts: Jeff Carlson: website (https://jeffcarlson.com), Jeff's photos (https://jeffcarlson.com/portfolio/), Jeff on Instagram (http://instagram.com/jeffcarlson), Jeff on Glass (https://glass.photo/jeff-carlson) Kirk McElhearn: website (https://www.kirkville.com), Kirk on Instagram (https://instagram.com/mcelhearn), Kirk on Glass (https://glass.photo/mcelhearn) Show Notes: (View show notes with images at PhotoActive.co (https://www.photoactive.co/home/episode-142-photomator)) Rate and Review the PhotoActive Podcast! (https://itunes.apple.com/us/podcast/photoactive/id1391697658?mt=2) Photomator (https://www.pixelmator.com/photomator/) Pixelmator Pro (https://www.pixelmator.com/pro/) Acorn (https://flyingmeat.com/acorn/) Episode 141: You Say You Want a Resolution (https://www.photoactive.co/home/episode-141-resolution) Episode 140: Denoise and Healing Tools (https://www.photoactive.co/home/episode-140-denoise-heal) Our Snapshots: Jeff: Tetris movie on Apple TV+ (https://tv.apple.com/us/movie/tetris/umc.cmc.4evmgcam356pzgxs2l7a18d7b?ctx_brand=tvs.sbd.4000) Kirk: Peak Design Micro Clutch Kickstarter (https://www.kickstarter.com/projects/peak-design/micro-clutch-hand-strap-for-mirrorless-cameras) Subscribe to the PhotoActive podcast newsletter at the bottom of any page at the PhotoActive web site (https://photoactive.co) to be notified of new episodes and be eligible for occasional giveaways. If you've already subscribed, you're automatically entered. If you like the show, please subscribe in iTunes/Apple Podcasts (https://itunes.apple.com/us/podcast/photoactive/id1391697658?mt=2) or your favorite podcast app, and please rate the podcast. And don't forget to join the PhotoActive Facebook group (https://www.facebook.com/groups/photoactivecast/) to discuss the podcast, share your photos, and more. Disclosure: Sometimes we use affiliate links for products, in which we receive small commissions to help support PhotoActive.

Even if your scanner came with a scanning application, using the scanner will be easier and more productive if you buy a copy of VueScan. In Short Circuits: I'll tell you about some of Adobe's new photo suite features soon, but one that stands out above all the others is a game changer called Denoise. • Geoffrey Hinton, Google's former chief artificial intelligence scientist, retired abruptly and has begun warning us about a time when AI will be smarter than humans. Let's consider that. Twenty Years Ago (only on the website): In 2003, I was preparing to buy my first digital single-lens reflex camera and was excited about its performance and features.

Camera resolution is easy, right? More pixels, more quality, more options, more better! But as soon as you start digging into it, from the iPhone 14 Pro's 48 megapixels to Sony sensors with 60 megapixels, all sorts of considerations make themselves known. Do you need that much resolution? How did we survive with less than 20 MP in the recent past? We pixel-peep and also look at the big picture. Hosts: Jeff Carlson: website (https://jeffcarlson.com), Jeff's photos (https://jeffcarlson.com/portfolio/), Jeff on Instagram (http://instagram.com/jeffcarlson), Jeff on Glass (https://glass.photo/jeff-carlson) Kirk McElhearn: website (https://www.kirkville.com), Kirk on Instagram (https://instagram.com/mcelhearn), Kirk on Glass (https://glass.photo/mcelhearn) Show Notes: (View show notes with images at PhotoActive.co (https://www.photoactive.co/home/episode-141-resolution)) Rate and Review the PhotoActive Podcast! (https://itunes.apple.com/us/podcast/photoactive/id1391697658?mt=2) Leica M11 Monochrom (https://amzn.to/3I3aFG2) Episode 140: Denoise and Healing (https://www.photoactive.co/home/episode-140-denoise-heal) List of Fujinon XF Lenses that Get Maximum Benefit from Fujifilm X-H2 (and X-T5) with 40 Megapixel Resolution (https://www.fujirumors.com/list-of-fujinon-xf-lenses-that-get-maximum-benefit-from-fujifilm-x-h2-and-x-t5-with-40-megapixel-resolution/), FujiRumors Episode 137: Zoom Lenses with Chris Niccolls (https://www.photoactive.co/home/episode-137-niccolls) How To Solve The 3x3 Rubik's Cube (https://jperm.net/3x3) The Speed Cubers - Netflix (https://www.netflix.com/title/81092143) Our Snapshots: Jeff: UES APSC-16 DSLR and Mirrorless Digital Camera Sensor Cleaning Kits (https://amzn.to/44x2Vpu) Kirk: GAN 356 M, 3x3 Magnetic Speed Cube (https://amzn.to/3M9ttpr) Subscribe to the PhotoActive podcast newsletter at the bottom of any page at the PhotoActive web site (https://photoactive.co) to be notified of new episodes and be eligible for occasional giveaways. If you've already subscribed, you're automatically entered. If you like the show, please subscribe in iTunes/Apple Podcasts (https://itunes.apple.com/us/podcast/photoactive/id1391697658?mt=2) or your favorite podcast app, and please rate the podcast. And don't forget to join the PhotoActive Facebook group (https://www.facebook.com/groups/photoactivecast/) to discuss the podcast, share your photos, and more. Disclosure: Sometimes we use affiliate links for products, in which we receive small commissions to help support PhotoActive.

Adobe added a new AI-assisted denoise feature to Lightroom and a Remove tool in the public beta of Photoshop, both of which are impressive. But how many photographers find themselves using these and other tools? Hosts: Jeff Carlson: website (https://jeffcarlson.com), Jeff's photos (https://jeffcarlson.com/portfolio/), Jeff on Instagram (http://instagram.com/jeffcarlson), Jeff on Glass (https://glass.photo/jeff-carlson) Kirk McElhearn: website (https://www.kirkville.com), Kirk on Instagram (https://instagram.com/mcelhearn), Kirk on Glass (https://glass.photo/mcelhearn) Show Notes: (View show notes with images at PhotoActive.co (https://www.photoactive.co/home/episode-140-denoise-heal)) Rate and Review the PhotoActive Podcast! (https://itunes.apple.com/us/podcast/photoactive/id1391697658?mt=2) DxO PureRAW 3 (https://www.dxo.com/dxo-pureraw/) Bring on the noise: How to save high ISO files deemed ‘too noisy' (https://www.popphoto.com/how-to/ai-de-noise-software/) PhotoshopCAFE: IMPOSSIBLE new Remove Tool in Photoshop disrupts retouching (https://youtu.be/TJHUlzuta0E) Our Snapshots: Jeff: Carson Camera Sensor Magnifier - 4.5 x 30mm (SM-44) (https://amzn.to/41lKkuq) Kirk: Photomator (https://www.pixelmator.com/photomator/) Subscribe to the PhotoActive podcast newsletter at the bottom of any page at the PhotoActive web site (https://photoactive.co) to be notified of new episodes and be eligible for occasional giveaways. If you've already subscribed, you're automatically entered. If you like the show, please subscribe in iTunes/Apple Podcasts (https://itunes.apple.com/us/podcast/photoactive/id1391697658?mt=2) or your favorite podcast app, and please rate the podcast. And don't forget to join the PhotoActive Facebook group (https://www.facebook.com/groups/photoactivecast/) to discuss the podcast, share your photos, and more. Disclosure: Sometimes we use affiliate links for products, in which we receive small commissions to help support PhotoActive.

HT1515 - YouTube Video Compression and Denoise I've watched a flurry of YouTube videos about the new Lightroom Denoise AI feature and have noticed that in those videos I basically can't see any difference between one example and the next. I see dramatic differences when I'm in Lightroom on my own computer, but the YouTube video compression makes visual comparisons almost impossible.

02-05-2023 Never miss a post! Subscribe and follow! Facebook: https://www.facebook.com/nyhopechurch/ Instagram: https://www.instagram.com/nyhopechurch/ YouTube: https://youtube.com/c/nyhopechurch/ Listen: https://open.spotify.com/show/7DJ426cOCP6OLUUeWdOjlg Website: https://nyhopechurch.com/

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01-08-2023 Never miss a post! Subscribe and follow! Facebook: https://www.facebook.com/nyhopechurch/ Instagram: https://www.instagram.com/nyhopechurch/ YouTube: https://youtube.com/c/nyhopechurch/ Listen: https://open.spotify.com/show/7DJ426cOCP6OLUUeWdOjlg Website: https://nyhopechurch.com/

Profirió Cadena En Frente a Frente del Capítulo 1 al Capítulo 147 Final  "audio  normal, valor de efecto DeNoise bajo,"

On episode 307 of the BSP I discuss the Shure SM5b windscreen that is now available, a free spectral denoise recommendation for windows users, recommending an audio interface for the sE v7, and the movie of the week.   Subscribe to the full audio podcast at http://www.bandrewsays.com   Gear Used This Episode (Affiliate Links): Shure SM5b: n/a Yellowtek M!ka: https://www.yellowtec.com/mika.html Focusrite Vocaster Two: https://imp.i114863.net/vocastertwo Sennheiser HD650: https://geni.us/sennhd650   As an affiliate I earn from qualifying purchases.    Ask Questions: https://www.askbandrew.com Merch; https://teespring.com/stores/podcastage-store Discord: http://www.podcastage.com/discord   00:00 - Intro 01:32 - Shure SM5b Windscreens 06:15 - WYHTS: Free Spectral Denoise 08:30 - WYHTS: I Still Have Slumber Parties at 40 Years Old 10:12 - WYHTS: Raw Dogging Confusion 10:55 - WYHTS: Honorary Kiwi 12:40 - Ask Bandrew 13:40 - Video Submission 1 15:07 - How Can I Wear a Beanie? 16:35 - Which Audio Interface Should I Get? 19:15 - Audio Submission 2 20:50 - Lav Mic Recommendation 22:08 - Audio Submission 3 24:22 - How Should I Solve My Interference Issue? 30:30 - Movie of the Week 36:00 - Outro

Pórfido Cadena El Desaparecido Del Capítulo 1 al Capítulo Final 163 Final 44000Hz 96Kbps "audio 128% normal, valor de efecto DeNoise bajo,"

Profirió Cadena Frente a Frente del Capítulo 1 al Capítulo 147 Final 44000Hz 128Kbps "audio 128% normal, valor de efecto DeNoise bajo,"

Right up front I want to set some expectations on the speed of DeNoise AI. Even on the best of computer hardware here in early 2022 DeNoise AI is not “fast”. The fastest I was able to get raw images to be processed in DeNoise AI was about 6 seconds per image. 6 real seconds, not the amount of time ... The post Making DeNoise AI Faster appeared first on Photo Taco Podcast.

Em modo radiofônico vocês ouvem o mais novo trabalho , do músico, compositor e produtor Denis Duarte. Denis apresenta em primeira mão seu mais novo trabalho baseado em samples, colagens, beats misturadas e muito bem azeitadas a partir de várias referências sonoras e musicais, desde paisagens, vozes, beats e sonoridades… Source

Denoise "Jazz"

ON1 NoNoise AI 2021 has found its way into my raw workflow, with very impressive denoise processing and the ability to save the output in DNG format. Details on blog: https://mbp.ac/751 Music by Martin Bailey

ON1 NoNoise AI 2021 has found its way into my raw workflow, with very impressive denoise processing and the ability to save the output in DNG format. Details on blog: https://mbp.ac/751 Music by Martin Bailey

In this episode I cover the latest news and rumors from: https://www.canonrumors.com https://nikonrumors.com https://www.fujirumors.com https://www.sonyalpharumors.com Canon More features and specifications for the Canon EOS R3 have emerged The 5DayDeal Video Creators Bundle 2021 has launched! Patent: Canon shows off optical formulas for APS-C RF mount kit lenses Industry News: Fujifilm shuts down servers after a suspected cyber attack Canon USA restocks their refurbished store with popular RF and EF lenses Industry News: Nikon announces a pair of macro lenses for the Z mount  Gordon Laing gets his hands on (sort of) the upcoming Canon EOS R3 DXO Announces Nik Collection 4, with all-new interface and more Nikon The new Nikkor Z MC 105mm f/2.8 VR S lens will be out of stock for months Nikkor 105mm f/2.8G VR IF-E vs. Nikkor Z MC 105mm f/2.8 VR specifications comparison Nikon's latest Nikkor Z mirrorless lens roadmap: 20 lenses announced, 7 more to come Pre-orders now open for the new Nikon macro mirrorless lenses New Nikon Nikkor Z MC macro mirrorless lenses: additional coverage Nikon development announcement for two Nikkor Z pancake mirrorless lenses: 28mm f/2.8 and 40mm f/2 Fuji FAST DELIVERY: Fujinon GF23mmF4 Takes a Delightful 6 Feet Drop – VIDEO Capture One for iPad Coming Early 2022 Fujifilm X/GFX Timeline 2021/22, Fujifilm X-H2 Rumors, End of X-TransIV, Can Fuji X Lenses Cover Full Frame Sensor – Top 10 May Posts FUJIFILM Issues Notice of Delivery Delay for Some Orders due to Communication Failure after Cyber Attack Fujifilm Victim of Cyber Attack: Notice of Unauthorized Access to Fujifilm Servers RAW Power adds Compressed Fujifilm RAW Support for MAC, Re-Worked Film Simulations and More ePHOTOzine Fujinon GF80mmF1.7 Review: Impressive Chromatic Aberration Control, Outstanding Sharpness, Superb Image Quality Godox V860III Available for Pre-order at BHphoto Sony Ends soon: $30 off on the new Denoise 3.1 software New Tamron 150-500mm FE reviews by SonyAlphaBlog David Oastler and Precision camera RUMOR: New Super 35 Global Shutter cine camera in 2021 Sony released firmware update 3.0 for the 70-200mm GM lens The “new” Sony Alpha a7R IV A is now available for preorder in the US New patents: Sigma 135mm f/1.8 DG DN lens and new Tamron 16-70mm, 20-72mm, 28-72mm (all f/4.0) Full Frame lenses Also be sure to join the Liam Photography Podcast Facebook Group https://www.facebook.com/groups/liamphotographypodcast/ You can reach the show by call or text @ 470-294-8191 to leave a comment or request a topic or guest for the show. Additionally you can email the show @ liam@liamphotographypodcast.com and find the show notes at http://www.liamphotographypodcast.com. You can find my work @ https://www.liamphotography.net on and follow me on Instagram, Facebook and Twitter @liamphotoatl. If you like abandoned buildings and history, you can find my project @ http://www.forgottenpiecesofgeorgia.com. and http://www.forgottenpiecesofpennsylvania.com. Please also stop by my Youtube channels Liam Photography Forgotten Pieces of Georgia Project Forgotten Pieces of Pennsylvania Project

Learn how to create shared KeyShot Resource folders to help organize your assets and collaborate across a network. View Blog Post: https://blog.keyshot.com/keyshot-shared-resource-folder Download Model: https://grabcad.com/library/ring-binder-a4-75mm-1 More Quick Tips Available Here: https://www.keyshot.com/quick-tips/See What’s New in KeyShot: https://www.keyshot.com/whats-new/Download and Try KeyShot Here: https://www.keyshot.com/try/ Subscribe to our Quick Tips on iTunes to view them where ever you are, […] The post Quick Tip 126: Denoise & Firefly Removal appeared first on KeyShot.

Learn how to create shared KeyShot Resource folders to help organize your assets and collaborate across a network. View Blog Post: https://blog.www.keyshot.com/keyshot-shared-resource-folder Download Model: https://grabcad.com/library/ring-binder-a4-75mm-1 More Quick Tips Available Here: […] The post Quick Tip 126: Denoise & Firefly Removal appeared first on KeyShot.

Bentornati su Snap!Come rimanere indifferenti al nuovo video di Eric Reinholdt di 30x40 in cui delizia i nostri occhi con iPad | Pencil | Procreate?Impossibile.Come è impossibile non parlare del Generative design e del dibattito che giustamente ne scaturisce.Riflettiamoci su e rilassiamoci guardando 5 documentari per architetti; ascoltando il nuovo podcast di Runtime Radio "Gli scimmioni non leggono Nietzsche"; fantastichiamo sul nuovo V-Ray per C4D e prendiamo nota di come il CDE può aiutare tutti seguendo da vicino il caso studio dell'università di Birmingham.App dell'architetto? Display.land 3D Model ScannerMa non è finita qui: potete ascoltare in questo podcast "Hush", il nuovo brano delle artiste emergenti SHES!Buon ascolto!—> Capitoli[00.45] Diretta del 25 aprile di Runtime https://www.spreaker.com/user/runtime/bella-ciao-runtime-per-la-liberazione[01.26] Benvenuto Alberto Venosa[02.50] Storie di Snapper [08.20] Mano benedetta da Dio: il video di Eric di 30x40 https://youtu.be/jETZpIxIM6U[09.48] Aggiornamento di Morpholio Trace: super ruler https://www.instagram.com/p/B_YaZ8sj2Lf/?utm_source=ig_web_copy_link[11.47] L’impatto del Generative Design sull’architettura https://www.archdaily.com/937772/how-will-generative-design-impact-architecture[27.24] Live di Alex Raccuglia con Simone Pizzi sull’intelligenza artificiale https://www.spreaker.com/user/runtime/technopillz-live-una-nuova-app-basata-su[30.19] Il nuovo podcast di Runtime Radio: “Gli scimmioni non leggono Nietzsche” https://www.spreaker.com/show/gli-scimmioni-non-leggono-nietzsche[32.50] 5 documentari di architettura https://www.professionearchitetto.it/news/notizie/27485/5-documentari-di-architettura-gratuiti-da-vedere-sul-divano-per-combattere-la-noia[33.50] V-Ray for Cinema 4D riscritto da 0 https://evermotion.org/articles/show/11969/v-ray-for-cinema-4d-sneak-peek[37.06] Caso studio di adozione del CDE per l’università di Birmingham http://www.bimplus.co.uk/projects/case-study-how-university-birmingham-digitised-its/[41.18] Gruppo emergente: Shes https://www.youtube.com/channel/UCVhDudH_juURD3KB59GyS1w[42.20] L’app dell’architetto: Display.land 3D Model Scanner https://apps.apple.com/us/app/id1436223202?mt=8&_branch_match_id=509724465810348956[44.17] Saluti [46.05] SHES - Hush https://youtu.be/DviVTzM3MBM--> Se vuoi unirti alla discussione sugli argomenti trattati nel podcast puoi trovarmi su:- Twitter https://twitter.com/Architecday - Instagram https://www.instagram.com/architecday/- sul blog Mac e Architettura https://marchdotnet.wordpress.com - canale Telegram SNAPPer https://t.me/snapperarchitetti —> Piaciuto l’episodio? Lascia una recensione su iTunes seguendo la guida di Filippo Strozzi di Avvocati e Mac https://www.avvocati-e-mac.it/podcast/itunes o contribuisci a sostenere l’infrastruttura di Runtime http://runtimeradio.it/ancheio/ anche via PayPal https://www.paypal.me/runtimeradio ; se invece preferisci, puoi farlo in modo del tutto gratuito utilizzando questo mio link sponsorizzato Amazon https://amzn.to/2ZeSj0m quando vorrai acquistare un prodotto presente su Amazon: l’importo non subirà variazioni ed una piccola percentuale di esso sarà donato a questo podcast.—> Tra l’altro, puoi ascoltare il Podcast anche su Spotify https://open.spotify.com/show/1UEjAubCtDXhQ7YZoCWzyP?si=mLaoi09sTdOlBC847f6uYA e vedere di cosa mi occupo sul mio sito professionale: http://www.studioemme2.itAlla prossima!Roberto.

Bentornati su Snap!Come rimanere indifferenti al nuovo video di Eric Reinholdt di 30x40 in cui delizia i nostri occhi con iPad | Pencil | Procreate?Impossibile.Come è impossibile non parlare del Generative design e del dibattito che giustamente ne scaturisce.Riflettiamoci su e rilassiamoci guardando 5 documentari per architetti; ascoltando il nuovo podcast di Runtime Radio "Gli scimmioni non leggono Nietzsche"; fantastichiamo sul nuovo V-Ray per C4D e prendiamo nota di come il CDE può aiutare tutti seguendo da vicino il caso studio dell'università di Birmingham.App dell'architetto? Display.land 3D Model ScannerMa non è finita qui: potete ascoltare in questo podcast "Hush", il nuovo brano delle artiste emergenti SHES!Buon ascolto!—> Capitoli[00.45] Diretta del 25 aprile di Runtime https://www.spreaker.com/user/runtime/bella-ciao-runtime-per-la-liberazione[01.26] Benvenuto Alberto Venosa[02.50] Storie di Snapper [08.20] Mano benedetta da Dio: il video di Eric di 30x40 https://youtu.be/jETZpIxIM6U[09.48] Aggiornamento di Morpholio Trace: super ruler https://www.instagram.com/p/B_YaZ8sj2Lf/?utm_source=ig_web_copy_link[11.47] L’impatto del Generative Design sull’architettura https://www.archdaily.com/937772/how-will-generative-design-impact-architecture[27.24] Live di Alex Raccuglia con Simone Pizzi sull’intelligenza artificiale https://www.spreaker.com/user/runtime/technopillz-live-una-nuova-app-basata-su[30.19] Il nuovo podcast di Runtime Radio: “Gli scimmioni non leggono Nietzsche” https://www.spreaker.com/show/gli-scimmioni-non-leggono-nietzsche[32.50] 5 documentari di architettura https://www.professionearchitetto.it/news/notizie/27485/5-documentari-di-architettura-gratuiti-da-vedere-sul-divano-per-combattere-la-noia[33.50] V-Ray for Cinema 4D riscritto da 0 https://evermotion.org/articles/show/11969/v-ray-for-cinema-4d-sneak-peek[37.06] Caso studio di adozione del CDE per l’università di Birmingham http://www.bimplus.co.uk/projects/case-study-how-university-birmingham-digitised-its/[41.18] Gruppo emergente: Shes https://www.youtube.com/channel/UCVhDudH_juURD3KB59GyS1w[42.20] L’app dell’architetto: Display.land 3D Model Scanner https://apps.apple.com/us/app/id1436223202?mt=8&_branch_match_id=509724465810348956[44.17] Saluti [46.05] SHES - Hush https://youtu.be/DviVTzM3MBM--> Se vuoi unirti alla discussione sugli argomenti trattati nel podcast puoi trovarmi su:- Twitter https://twitter.com/Architecday - Instagram https://www.instagram.com/architecday/- sul blog Mac e Architettura https://marchdotnet.wordpress.com - canale Telegram SNAPPer https://t.me/snapperarchitetti —> Piaciuto l’episodio? Lascia una recensione su iTunes seguendo la guida di Filippo Strozzi di Avvocati e Mac https://www.avvocati-e-mac.it/podcast/itunes o contribuisci a sostenere l’infrastruttura di Runtime http://runtimeradio.it/ancheio/ anche via PayPal https://www.paypal.me/runtimeradio ; se invece preferisci, puoi farlo in modo del tutto gratuito utilizzando questo mio link sponsorizzato Amazon https://amzn.to/2ZeSj0m quando vorrai acquistare un prodotto presente su Amazon: l’importo non subirà variazioni ed una piccola percentuale di esso sarà donato a questo podcast.—> Tra l’altro, puoi ascoltare il Podcast anche su Spotify https://open.spotify.com/show/1UEjAubCtDXhQ7YZoCWzyP?si=mLaoi09sTdOlBC847f6uYA e vedere di cosa mi occupo sul mio sito professionale: http://www.studioemme2.itAlla prossima!Roberto.

Episode Sponsors Phlearn – When Phlearn reached out I was really excited because my friend Aaron Nace and the folks over at Plearn.com produce video training for Photoshop that I can’t recommend strongly enough. It is incredible. Aaron has forgotten more Photoshop than I have ever learned.  A huge portion of what I know about Photoshop has come from video ... The post Topaz DeNoise AI vs Lightroom and Photoshop appeared first on Photo Taco Podcast.

With one-click, Denoise removes the noise from your render to speed up your rendering workflow. Wondering how to use Denoise in your iterative process? In this quick video, Creative Specialist, […] The post Quick Tip 84: Denoise Usage Scenarios appeared first on KeyShot.

With one-click, Denoise removes the noise from your render to speed up your rendering workflow. Wondering how to use Denoise in your iterative process? In this quick video, Creative Specialist, Karim Merchant covers a few best use cases and tips for working with Denoise. More quick tips available here: https://www.keyshot.com/quick-tips/Download and try KeyShot here: https://www.keyshot.com/try/ […] The post Quick Tip 84: Denoise Usage Scenarios appeared first on KeyShot.

Kirstie Tostevin of FXhome is back to provide some updates on two of their products. HitFilm now supports industry-standard plugins from Red Giant and Video Copilot, adding to their already impressive collection of add-ons to their video editing and VFX creation. iMerge extends its non-destructive RAW image compositor’s capabilities with new effects that include Denoise, skin retouch, Fractal noise, heat, smoke, energy, and fluid distortions and more. Kirstie brings us up to speed on all the news, and reviews their upgrade/subscription model. This edition of MacVoices is supported by LightStream. Low rates. Great Service. That's Lending Uncomplicated. Visit Lightstream.com/macvoices for a special discount just for MacVoices viewers and listeners. This edition of MacVoices is supported by Linode, high performance cloud hosting and virtual servers for everyone. To take $20 off your first order, visit Linode.com/macvoices and use the offer code “macvoices2019”. Show Notes: Chuck Joiner is the producer and host of MacVoices. You can catch up with what he's doing on Twitter, Facebook, and LinkedIn. Subscribe to the show: iTunes: - Audio in iTunes - Video in iTunes - HD Video in iTunes Subscribe manually via iTunes or any podcatcher:  - Audio: http://www.macvoices.com/rss/macvoicesrss  - Video: http://www.macvoices.com/rss/macvoicesvideorss Donate to MacVoices via Paypal or become a MacVoices Patron. Guests: Kirstie Tostevin is the Marketing Manager at FXhome. Links: FXhome YouTube Channel

Kirstie Tostevin of FXhome is back to provide some updates on two of their products. HitFilm now supports industry-standard plugins from Red Giant and Video Copilot, adding to their already impressive collection of add-ons to their video editing and VFX creation. iMerge extends its non-destructive RAW image compositor’s capabilities with new effects that include Denoise, skin retouch, Fractal noise, heat, smoke, energy, and fluid distortions and more. Kirstie brings us up to speed on all the news, and reviews their upgrade/subscription model. This edition of MacVoices is supported by LightStream. Low rates. Great Service. That's Lending Uncomplicated. Visit Lightstream.com/macvoices for a special discount just for MacVoices viewers and listeners. This edition of MacVoices is supported by Linode, high performance cloud hosting and virtual servers for everyone. To take $20 off your first order, visit Linode.com/macvoices and use the offer code “macvoices2019”. Show Notes: Chuck Joiner is the producer and host of MacVoices. You can catch up with what he's doing on Twitter, Facebook, and LinkedIn. Subscribe to the show: iTunes: - Audio in iTunes - Video in iTunes - HD Video in iTunes Subscribe manually via iTunes or any podcatcher:  - Audio: http://www.macvoices.com/rss/macvoicesrss  - Video: http://www.macvoices.com/rss/macvoicesvideorss Donate to MacVoices via Paypal or become a MacVoices Patron. Guests: Kirstie Tostevin is the Marketing Manager at FXhome. Links: FXhome YouTube Channel

Kirstie Tostevin of FXhome is back to provide some updates on two of their products. HitFilm now supports industry-standard plugins from Red Giant and Video Copilot, adding to their already impressive collection of add-ons to their video editing and VFX creation. iMerge extends its non-destructive RAW image compositor’s capabilities with new effects that include Denoise, skin retouch, Fractal noise, heat, smoke, energy, and fluid distortions and more. Kirstie brings us up to speed on all the news, and reviews their upgrade/subscription model. This edition of MacVoices is supported by LightStream. Low rates. Great Service. That's Lending Uncomplicated. Visit Lightstream.com/macvoices for a special discount just for MacVoices viewers and listeners. This edition of MacVoices is supported by Linode, high performance cloud hosting and virtual servers for everyone. To take $20 off your first order, visit Linode.com/macvoices and use the offer code “macvoices2019”. Show Notes: Chuck Joiner is the producer and host of MacVoices. You can catch up with what he's doing on Twitter, Facebook, and LinkedIn. Subscribe to the show: iTunes: - Audio in iTunes - Video in iTunes - HD Video in iTunes Subscribe manually via iTunes or any podcatcher:  - Audio: http://www.macvoices.com/rss/macvoicesrss  - Video: http://www.macvoices.com/rss/macvoicesvideorss Donate to MacVoices via Paypal or become a MacVoices Patron. Guests: Kirstie Tostevin is the Marketing Manager at FXhome. Links: FXhome YouTube Channel

Giovanni ci fa una domanda e noi, in follouap gliene rispondiamo dicendo... No, non ve lo anticipo. E intanto gli/vi diciamo come funziona la riduzione del rumore (audio)!Ad ogni modo mi trovate qui:https://t.me/technopillzriothttps://twitter.com/alxgihttp://www.alexraccuglia.netSostenete Runtime Radio:http://runtimeradio.it/ancheio/

Giovanni ci fa una domanda e noi, in follouap gliene rispondiamo dicendo... No, non ve lo anticipo. E intanto gli/vi diciamo come funziona la riduzione del rumore (audio)!Ad ogni modo mi trovate qui:https://t.me/technopillzriothttps://twitter.com/alxgihttp://www.alexraccuglia.netSostenete Runtime Radio:http://runtimeradio.it/ancheio/

Followupovi prvi followup je naš, tj. Mikijev, da se izvini za kvalitet zvuka prošle epizode. U strahu od buke je "odvalio" podešavanja za Denoise filter u Audio Hijacku na maksimum pa je time posle u Audacityju morao ručno da pojačava svoj i Vladin glas što je ponekada samo pojačalo "ječanje" jer je denoise prethodno uklonio pojedine frekvencije iz snimljenog glasa. U svakom slučaja, škola je naučena, a obećavamo da ćemo se ponoviti čim pre stignemo sa dva Yeti mikrofona, možda već u septembru kada naš gost Vlada iz prethodne epizode bude išao za SAD Lazar Kovačević nam je na Tviteru u vezi sa zvukom kod poslednje epizode rekao da probamo sa Google Hangouts, dok se Miloš Damnjanović nadovezao da je i FaceTime bolji od Skypea Sloba Ljubišić, naš dopisnik iz Windows sveta koji je našu epizodu snimljenu u Grčkoj slušao na letovanju u Španiji, s obzirom da je Sloba opet poslao dugačak mail, ukratko smo ga prepričali, a suština je da je imao isti problem da popodne pa do negde 23h nema Interneta zbog toga što su gosti došli na večeru i spremanje za večernji izlazak, izvan hotela free WiFi-a nema, a pord onih mesta koje smo i mi pomenuli (Starrbucks, MCDonalds, Sloba posebno pohvalio Burger King), setio se i da oni dvospratni hop-on hop-off autobusi imaju besplatni WiFi. Naveo je i ponude koje imaju Vodaphone, Movistar i Orange. još jedan od Slobe, kraći, preporuka za eksternu bateriju od 100000 mAh. Čika Kosta kroz Slack: FollowUp za Grčku i navigaciju. Ja sam sada koristio Here maps koji je potpuno besplatan i poseduje offline mod, skidate mape po želji jedino što je potrebno imati nalog (naravno sve besplatno). Mogu vam reći da je odlična stvar jer sam ih koristio na kompu kad smo planirali razne izlete po olimpskoj regiji. Preko kompa nađem sve, ubeležim u svoje grupe favorita, i pokrenem navigaciju na fonu jednom dok sam na wifi-ju kako bi pokupio nove sačuvane lokacije. Vozali smo se kroz par gradića i većih gradova po Grčkoj, ali i na Olimp i lokalne neke plaže u toj regiji. Odlično radi, čak super planira rute a da izbegava puteve sa putarinom jer smo mi bili na par stotina metara od e75 autoputa. Jednom sam se pravio pametan i nisam uključio navigaciju pa sam za 5km autoputa od litohora do leptokarie kad sam krenuo za pivo platio 1.8€ putarinu. :simple_smile: Eto, čisto da je ljudi imaju u vidu kao besplatnu i potpuno funkcionalnu offline alternativu :simple_smile: Ovde smo pomenuli i post Vlade Ćalića na Fejsbuku o utiscima korišćenja raznih mapa. Apple Music ono baš njesra. Ovo sam i ja primetio dosta, totalni smor Da li je ovo followup ili ne, kako se snaći kada nešto pođe po zlu kao što je Mikiju vrisnula ploča dva dana pošto je montirao i poslao audio na sajt, tj. publikovao "grčku epizodu", pored Vlade Veljkovića pomoć da izvadi disk iz laptopa je imao od ljubazne devojke iz radnje iStorm, grčkog Apple Premium Resselera, unutar Cosmos tržnog centra. Vesti G is for Google, Alphabet is for..? BMW owns Alphabet.com and it's not selling it to Google Larry i Sergey i njihova mala fabrika firmi MacKeeper to pay out $2M in proposed class action settlement The ethics of modern web ad-blocking Marco.org Rene Ritchie o imore.com i brdu reklama Za nepunih godinu dana, prosečna web strana će biti veća od Doom instalacije The Verge kaže mobile web sucks?! - Ma šta mi reče..? Stvarno?! Deveti septembar: novi iPhones, iPads i (valjda ovaj put zaista) AppleTV Finding iPad's Future Epizoda watchOS 2 beta 5 i kick-ass battery life Alekov blog post linkovao Viticci: Run 5k for watchOS 2 – MacStories Veselice Čika Kosta javlja: Za rubriku “ima li kraja idiotskim i potpuno debilnim video klipovima” Taking the Giant iMac Wheel for a Spin Zahvalnice Snimljeno 12.08.2015. kroz Audio Hijack 3 i FaceTime. Uvodna muzika by Vladimir Tošić. Logotip by Aleksandra Ilić. Artwork epizode Izgubljeni koraci (2013) by Saša Montiljo

Principal component analysis (PCA) is a well-established method commonly used to explore and visualize data. A classical PCA model is the fixed effect model where data are generated as a fixed structure of low rank corrupted by noise. Under this model, PCA does not provide the best recovery of the underlying signal in terms of mean squared error. Following the same principle as in ridge regression, we propose a regularized version of PCA that boils down to threshold the singular values. Each singular value is multiplied by a term which can be seen as the ratio of the signal variance over the total variance of the associated dimension. The regularized term is analytically derived using asymptotic results and can also be justified from a Bayesian treatment of the model. Regularized PCA provides promising results in terms of the recovery of the true signal and the graphical outputs in comparison with classical PCA and with a soft thresholding estimation strategy. The method is illustrated through a simulation study and a real dataset coming from genetics. We will also highlight the ability of the method to handle properly missing values.

Themen des heutigen Tages: Java SE 6, aber nur für exklusive Mac-User MacFUSE 1.5 HyperEdit 1.6 Messenger für den Mac in der Version 7 München presents: Denoise 1.0 Weitere Informationen unter: http://macinme.de/ Macinme Daily #74 Download