Podcasts about lossy

Auto encoders are neural networks that compress data into a smaller "code," enabling dimensionality reduction, data cleaning, and lossy compression by reconstructing original inputs from this code. Advanced auto encoder types, such as denoising, sparse, and variational auto encoders, extend these concepts for applications in generative modeling, interpretability, and synthetic data generation. Links Notes and resources at ocdevel.com/mlg/36 Try a walking desk - stay healthy & sharp while you learn & code Build the future of multi-agent software with AGNTCY. Thanks to T.J. Wilder from intrep.io for recording this episode! Fundamentals of Autoencoders Autoencoders are neural networks designed to reconstruct their input data by passing data through a compressed intermediate representation called a “code.” The architecture typically follows an hourglass shape: a wide input and output separated by a narrower bottleneck layer that enforces information compression. The encoder compresses input data into the code, while the decoder reconstructs the original input from this code. Comparison with Supervised Learning Unlike traditional supervised learning, where the output differs from the input (e.g., image classification), autoencoders use the same vector for both input and output. Use Cases: Dimensionality Reduction and Representation Autoencoders perform dimensionality reduction by learning compressed forms of high-dimensional data, making it easier to visualize and process data with many features. The compressed code can be used for clustering, visualization in 2D or 3D graphs, and input into subsequent machine learning models, saving computational resources and improving scalability. Feature Learning and Embeddings Autoencoders enable feature learning by extracting abstract representations from the input data, similar in concept to learned embeddings in large language models (LLMs). While effective for many data types, autoencoder-based encodings are less suited for variable-length text compared to LLM embeddings. Data Search, Clustering, and Compression By reducing dimensionality, autoencoders facilitate vector searches, efficient clustering, and similarity retrieval. The compressed codes enable lossy compression analogous to audio codecs like MP3, with the difference that autoencoders lack domain-specific optimizations for preserving perceptually important data. Reconstruction Fidelity and Loss Types Loss functions in autoencoders are defined to compare reconstructed outputs to original inputs, often using different loss types depending on input variable types (e.g., Boolean vs. continuous). Compression via autoencoders is typically lossy, meaning some information from the input is lost during reconstruction, and the areas of information lost may not be easily controlled. Outlier Detection and Noise Reduction Since reconstruction errors tend to move data toward the mean, autoencoders can be used to reduce noise and identify data outliers. Large reconstruction errors can signal atypical or outlier samples in the dataset. Denoising Autoencoders Denoising autoencoders are trained to reconstruct clean data from noisy inputs, making them valuable for applications in image and audio de-noising as well as signal smoothing. Iterative denoising as a principle forms the basis for diffusion models, where repeated application of a denoising autoencoder can gradually turn random noise into structured output. Data Imputation Autoencoders can aid in data imputation by filling in missing values: training on complete records and reconstructing missing entries for incomplete records using learned code representations. This approach leverages the model's propensity to output ‘plausible' values learned from overall data structure. Cryptographic Analogy The separation of encoding and decoding can draw parallels to encryption and decryption, though autoencoders are not intended or suitable for secure communication due to their inherent lossiness. Advanced Architectures: Sparse and Overcomplete Autoencoders Sparse autoencoders use constraints to encourage code representations with only a few active values, increasing interpretability and explainability. Overcomplete autoencoders have a code size larger than the input, often in applications that require extraction of distinct, interpretable features from complex model states. Interpretability and Research Example Research such as Anthropic's “Towards Monosemanticity” applies sparse autoencoders to the internal activations of language models to identify interpretable features correlated with concrete linguistic or semantic concepts. These models can be used to monitor and potentially control model behaviors (e.g., detecting specific language usage or enforcing safety constraints) by manipulating feature activations. Variational Autoencoders (VAEs) VAEs extend autoencoder architecture by encoding inputs as distributions (means and standard deviations) instead of point values, enforcing a continuous, normalized code space. Decoding from sampled points within this space enables synthetic data generation, as any point near the center of the code space corresponds to plausible data according to the model. VAEs for Synthetic Data and Rare Event Amplification VAEs are powerful in domains with sparse data or rare events (e.g., healthcare), allowing generation of synthetic samples representing underrepresented cases. They can increase model performance by augmenting datasets without requiring changes to existing model pipelines. Conditional Generative Techniques Conditional autoencoders extend VAEs by allowing controlled generation based on specified conditions (e.g., generating a house with a pool), through additional decoder inputs and conditional loss terms. Practical Considerations and Limitations Training autoencoders and their variants requires computational resources, and their stochastic training can produce differing code representations across runs. Lossy reconstruction, lack of domain-specific optimizations, and limited code interpretability restrict some use cases, particularly where exact data preservation or meaningful decompositions are required.

Una volta c'erano quelle lunghe attese davanti al PC mentre scaricavi musica da internet, magari con i torrent. Un'operazione infinita... finché non è arrivato l'MP3! Questo formato rivoluzionario ha permesso di comprimere i file musicali senza perdere troppa qualità, rendendo il download molto più rapido.Tutti i miei link: https://linktr.ee/br1brownCome è cambiato: l'evoluzione dei dispositivi musicali dal fonografo a SpotifyWhat Spotify Is Really Costing Us | The New YorkerHistory of the MP3, Rise of Online Music Streaming PlatformsThe Rise & Fall Of Napster | History Of - YouTubeNapster Is Finally Dead -- Here's a Look Back at What It Once Meant - Business InsiderL'evoluzione dell'industria musicale nell'era digitaleTELEGRAM - INSTAGRAM Se ti va supportami https://it.tipeee.com/br1brown

On the Digital DJ Tips DJ school Inside Track podcast this month, we're looking at three topics that the DJ community is talking about at the moment. This month we've got:1. The real price of DJing - What does it really cost to take up DJing as a hobby? Not only getting the equipment but keeping up with subscriptions and so on. We do the numbers for you.2. Lossy versus compressed music - What's the difference between a lossless and a lossy file, and an uncompressed and a compressed file, and do DJs need to know? We dive deeper..3. Rekordbox subscriptions still down - They've been down for a while now, meaning people can't subscribe, cancel, upgrade, or downgrade their subs. What's going on? And what issues for DJs using software does this highlight?As ever, this pod is supported 100% by the students of Digital DJ Tips, and it was recorded in a live webinar with lots of student feedback. If you enjoy it and you can, please do give us a five-star rating on Apple Podcasts. It really does make a difference.TIMESTAMPS00:00 Intro00:15 Episode overview02:05 The real price of DJing14:25 Lossy versus compressed music27:31 Rekordbox subscriptions still down Want to get your question answered on an episode of this podcast? Digital DJ Tips course owners get to ask questions in their student-only group. Your first step to getting involved is to buy a DJ course, so come and join our community at https://www.digitaldjtips.com.

Intro topic:  Buying a CarNews/Links:Cognitive Load is what Mattershttps://github.com/zakirullin/cognitive-loadDiffusion models are Real-Time Game Engineshttps://gamengen.github.io/Your Company Needs Junior Devshttps://softwaredoug.com/blog/2024/09/07/your-team-needs-juniorsSeamless Streaming / Fish Speech / LLaMA OmniSeamless: https://huggingface.co/facebook/seamless-streamingFish: https://github.com/fishaudio/fish-speech LLaMA Omni: https://github.com/ictnlp/LLaMA-Omni Book of the ShowPatrick: Thought Emporium Youtubehttps://youtu.be/8X1_HEJk2Hw?si=T8EaHul-QMahyUvQJason: Novel Mindshttps://www.novelminds.ai/Patreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrick: Escape Simulatorhttps://pinestudio.com/games/escape-simulator/Jason: Cursor IDEhttps://www.cursor.com/Topic: Vector Databases (~54 min)How computers represent data traditionallyASCII valuesRGB valuesHow traditional compression worksHuffman encoding (tree structure)Lossy example: Fourier Transform & store coefficientsHow embeddings are computedPairwise (contrastive) methodsForward models (self-supervised)Similarity metricsApproximate Nearest Neighbors (ANN)Sub-Linear ANNClusteringSpace Partitioning (e.g. K-D Trees)What a vector database doesPerform nearest-neighbors with many different similarity metricsStore the vectors and the data structures to support sub-linear ANNHandle updates, deletes, rebalancing/reclustering, backups/restoresExamplespgvector: a vector-database plugin for postgresWeaviate, Pinecone Milvus ★ Support this podcast on Patreon ★

Wharfedale about to release Super Denton speakers! Kali smaller monitors! Channa visits a mixing clinic and discussion forum! Talking roundy things with impulse responses? Erin's dream build of a speaker from scratch? Lossy or lossless files sizes? No cereal box thumbnails please?!? Channa is looking for acoustic treatment for a studio space. --- Send in a voice message: https://podcasters.spotify.com/pod/show/dailyhifi/message Support this podcast: https://podcasters.spotify.com/pod/show/dailyhifi/support

Join Holly and Chris as we try to make Stef feel better about Arsenal. We dissect the Villa performance - yes, we were sloppy, yes VAR can do one, but it wasn't all doom and gloom as we created numerous chances that, on another day, could have resulted in a deserved win. We look ahead to PSV but struggle to pick a team of players who didn't start against Villa. We chat about Arsenal women and their thumping of Chelsea in front of a record WSL crowd. Plus, there are honourable mentions for Nwaneri and Chris' dog, Lossy...You can also join the conversation on our socials:Twitter @northbankpodTikTok @northbankpodInstagram @northbankpod and discover loads more on our website, thenorthbankfc.com The North Bank. An Arsenal Podcast. Produced by The Podcast Company. Hosted on Acast. See acast.com/privacy for more information.

HT1625 - DNG Lossy Format Does anybody use DNG Lossy format? I've been doing some tests and I can't find any reason to NOT use it, but there might be some. I suppose the first question would be is it that critical to cut my RAW file sizes in half? Am I that desperate for conserving hard drive space? Or is this a technology that we can easily ignore.

Pitt will close the 2022 home schedule with a noon kickoff against Duke tomorrow. What do the Panthers need to do to beat the Blue Devils? Plus, what happened in Pitt basketball's loss to VCU Thursday night and what other games will we be watching in the Coastal Division this weekend? 

Episode: 2803 Fourier, the Fourier Transform, and Music.  Today, music in translation.

Progress Update: 1 hour business call with Harry Discussed target market Discussed community targeting strategy Talked about the initial app features Identified some issues Talked about cheating and the impact of that on the game experience for others Mapped out some of the logic for the Handstand Judge Realised that every logic sequence should begin with “other” as the starting pose, and end with “other” as the final finishing pose. Downloaded more data from Instagram 40 more videos to edit and sort now Continued to build the model stress test dataset to see how it performs on the toughest edge cases. Did some trend analysis for handstands in google trends to find the most popular search term. (Which is Handstand (Yoga Pose)) Organic Google search traffic is definitely not a viable marketing strategy Did a compression test to see how much compression reduced the accuracy of Apple's Vision - surprising results. Tested out the competition properly - handstand quest app test. Realised there has never really been an easy way to track handstands until handstander. dev90x.com

Linh wonders how information is transferred through a cable, and Dimitri tries his best to explain it… slowly…

Will the future be kind to your podcast? A good amount of us are making timeless podcast episodes that are fine to listen to 3 days, 3 weeks, 3 months, or even 3 years in the future.  But… will they be in 19 years? In 2040, how will we listen to podcasts? It’s 2021. In 19 years, it’ll be 2040. Deal with that for a minute, and then think about sound quality advancements. Yes, there’s a limit on the range of sound frequencies our human ears can perceive. And by and large, we’ve been able to create speakers and sound transmitters that produced rich and immersive sounds within that range for decades.  But podcasting, at least as practiced today, sends “lossy” files to our listeners. Lossy means what it says: some information is “lost” on the copy that reaches our listeners’ devices. And from there, depending on what or how they listen, additional signal will be lost before it reaches their ears.  Will that be “fixed” in the future? Will bandwidth and storage considerations be so vastly different in 19 years that “lossless” audio files can be sent to listeners?  Can podcasters prepare for the future? My friend and exceptional audio engineer https://twitter.com/meonlylouder?lang=en (Marcus dePaula) recently said that marginal video is forgivable. But low-quality audio is not. He’s right, and I have to assume that at some point in the future, podcast episodes that are “acceptable” today will be painful to listen to. Obviously, we should all be preserving the source files and masters. We can also lobby our hosting providers to help us stay current. Rather than uploading lossy .mp3 files, we could be uploading lossless files, letting the hosting provider make some on-the-fly decisions about the quality of files to distribute based on a variety of factors. But that won’t help us too much if the promise of binaural or spatial audio becomes dominant. Yes, I assume that, just like letterboxing on our current TVs, the headphones or speakers that are capable of reproducing 3D sound will also handle non-optimized content. It’ll just sound… dated. Beyond that, I’ve nothing much for you other than questions. These are questions worthy of the other people in your podcasting peer group. I’m betting one person—perhaps you—is way more persnickety than others when it comes to sound quality. Share this article with them and see how the conversation shakes out. Even if there are no definitive next-steps, it’s always good to be thinking about the future.  Because if we don’t, our evergreen and timeless episodes are all too quickly going to start showing some browning around the edges. ----- Read the full article and share with a friend: https://podcastpontifications.com/episode/podcastings-elephant-in-the-evergreens-conundrum (https://podcastpontifications.com/episode/podcastings-elephant-in-the-evergreens-conundrum) https://twitter.com/evoterra (Follow Evo on Twitter) for more podcasting insights as they come. https://buymeacoffee.com/evoterra (Buy him a virtual coffee) to show your support. And if you need a professional in your podcasting corner, please visithttps://podcastlaunch.pro/ ( Simpler.Media) to see how Simpler Media Productions can help you reach your business objectives with podcasting. https://podcastpontifications.com/ (Podcast Pontifications) is published by Evo Terra four times a week and is designed to make podcasting better, not just easier. This podcast uses the following third-party services for analysis: Chartable - https://chartable.com/privacy Support this podcast

Bad week for movie watching and some other things.

Sugar is always blamed for causing weight gain.. In today's episode of the Greg Fearon Podcast, I'm joined by Manisha Morgan A nutritionist who specializes in helping women understand nutrition so it becomes sustainable for life. We discuss. - Tricks to adapt the traditional Indian Diet - Diet Dogma and Manisha's views on how nutrition should be coached - The biggest nutrition change you can make to get results - How we have a weight maintenance problem and so much more. You can find more about Manisha here --> https://www.instagram.com/manisha_your_nutritionist/

The Internet Video Problem: The Internet was never designed for Video "Best-Effort” Transport Only No Prioritization Routers Drop Packets to Alleve Congestion Dynamic Load Balancing Reorders Packets Traffic is either UDP or TCP UDP Transport is Real-Time, but Lossy No Inherent Packet Recovery No Guarantees on Packet Order TCP Uses Positive Acknowledgement Packet Recovery Not Real-time: Pauses for Unrecoverable Packets Max Bitrate Limited by Distance & Node Hops The Internet Video Solution: ARQ - Automatic Repeat Request Automatic Repeat reQuest Feedback Requests Resending Lost Packets Receiver Delay to Allow Time for Recovery Add Receiver Buffer to Create Delay More Resilience → Larger Buffer Lower Latency → Smaller Buffer Capable of 100% Recovery Capable of Full Recovery with Large Loss % Zero Overhead on a Clean (Lossless) Network The post QVidium – Pioneer in IP Video Transport and Error Correction [Webinar Recording] appeared first on VidOvation Corporation.

The Internet Video Problem: The Internet was never designed for Video "Best-Effort” Transport Only No Prioritization Routers Drop Packets to Alleve Congestion Dynamic Load Balancing Reorders Packets Traffic is either UDP or TCP UDP Transport is Real-Time, but Lossy No Inherent Packet Recovery No Guarantees on Packet Order TCP Uses Positive Acknowledgement Packet Recovery Not Real-time: Pauses for Unrecoverable Packets Max Bitrate Limited by Distance & Node Hops The Internet Video Solution: ARQ - Automatic Repeat Request Automatic Repeat reQuest Feedback Requests Resending Lost Packets Receiver Delay to Allow Time for Recovery Add Receiver Buffer to Create Delay More Resilience → Larger Buffer Lower Latency → Smaller Buffer Capable of 100% Recovery Capable of Full Recovery with Large Loss % Zero Overhead on a Clean (Lossless) Network The post QVidium – Pioneer in IP Video Transport and Error Correction [Webinar Recording] appeared first on VidOvation Corporation.

The Internet Video Problem: The Internet was never designed for Video "Best-Effort” Transport Only No Prioritization Routers Drop Packets to Alleve Congestion Dynamic Load Balancing Reorders Packets Traffic is either UDP or TCP UDP Transport is Real-Time, but Lossy No Inherent Packet Recovery No Guarantees on Packet Order TCP Uses Positive Acknowledgement Packet Recovery Not Real-time: Pauses for Unrecoverable Packets Max Bitrate Limited by Distance & Node Hops The Internet Video Solution: ARQ - Automatic Repeat Request Automatic Repeat reQuest Feedback Requests Resending Lost Packets Receiver Delay to Allow Time for Recovery Add Receiver Buffer to Create Delay More Resilience → Larger Buffer Lower Latency → Smaller Buffer Capable of 100% Recovery Capable of Full Recovery with Large Loss % Zero Overhead on a Clean (Lossless) Network The post QVidium – Pioneer in IP Video Transport and Error Correction [Webinar Recording] appeared first on VidOvation Corporation.

Recorded on a dark morning in Delanco, NJ. Steve McLaughlin Radio Hour March 26, 2020

Leo Laporte talks about the difference between copying a file and transcoding a file, along with the difference between lossy and lossless compression. Host: Leo Laporte Download or subscribe to this show at https://twit.tv/shows/ask-the-tech-guy Sponsor: LastPass.com/twit

Episode Notes: Senior computer scientist Franck Cappello leads an effort to compress and reduce the enormous scientific data sets that some of the ECP applications are producing.

Lossy codecs humiliated by power verbs. Thank you to my supporters over on Patreon! I place a large warm quilt of gratitude over the frozen ground for you Karen, Jon, Gus, and Kelsey.

When Dr. Lori Barr mentors physicians and other credentialed professionals this is one question that comes up again and again when new media and podcast production are considered. What is a lossy audio file?

Saiba qual a diferença e como usar os métodos de compressão Lossy ou Lossless em imagens! Site: http://www.lucasaldi.com/tantospixels Email: tantospixels@gmail.com Itunes: https://goo.gl/Em2zzg Facebook: https://goo.gl/GE5EZj Instagram: https://goo.gl/xYksdr

Renes, J Monday 23rd July 2018 - 11:45 to 12:30

♫ Read More ♫: http://www.deephouseasterdam.com/premiere-lossy-to-the-woods-original-mix "Gated Soul EP" is available 20 April on Boot Cycle Audio https://soundcloud.com/lossylossylossy https://soundcloud.com/bootcycleaudio

I dagens avsnitt har vi testat oss på Tidals ljudformat, kan vi höra skillnaden mellan deras lossy och lossless-format? Det är uppgraderingstider för datorer i alla fall i vår studio och vi pratar lite om vad som är viktigt att tänka på inför uppgradering. En liten shoutout också till alla våra lyssnare runt om i världen! Vi gör också vår YouTube-premiär med ett litet klipp om hur Niklas mickade upp trumsetet inför inspelningen av Linn Koch-Emmerys andra EP, se videon här.Medverkande i avsnittet: Niklas Berglöf, Magnus Lindberg och Joakim Jarl.För bilder, tekniklistor och länkar till sånt vi pratar om i avsnittet, gå till vår hemsida musikproducent.se/podd See acast.com/privacy for privacy and opt-out information.

Matt chats about updating his digital mixing desk and Danny makes weird noises with GoodHertz’s Lossy.

Feat: Contours, Tek Lun, Krown & Lock, Beacon, Nitemoves, Youandewan, Platzdasch, Session Victim, Lossy, Greg Sawyer, Johan Kaseta, O'Flynn, B. Traits, Laurence Guy, Dub Striker, Malouane, James Duncan, Lay-Far, Magic Number, Jakwob, FaltyDL, Edmonson, Tuff Wheelz, Oma Nata, Tensnake, Ekkohaus, Chaos In The CBD, Baaba Maal, Henrik Schwarz, Jaydee, Shadow Child, Set Mo, POOLCLVB and Detroit Swindle.

From vinyl to MP3 - how is media recorded? Music was made truly portable on 1 July, 1979, with the release of the Sony Walkman (Time) What is analogue recording? (Wikipedia) What is digital recording? (Wikipedia) Meet the 'telegraphone' & 'magnetophon', advancements in sound recording that never quite took off (Wikipedia) The new £5 note can play vinyl records (The Telegraph) The Voyager golden record (NASA) Playing a record with a pin & paper cup (YouTube) The 'compact cassette' tape was released by Philips in 1962 (Wikipedia) Transvision Vamp, Velveteen (Wikipedia) A timeline of audio formats: From 1860's 'phonautogram' to 2012's 'Opus' (Wikipedia) CDs were invented in 1982 (Wikipedia) A resource for some of the main ways we've recorded audio since olden times (Recording History) The history of the 8-track tape (Recording History) How recording tape was made, circa 1955 (Recording History) How is sound recorded onto magnetic tape? (HyperPhysics, Georgia State University) Johnny's old radio station, Wear FM, is now called Sun FM (Wikipedia) Video Home System, or VHS, analogue video recording, circa 1976 (Wikipedia) VHS 'please rewind' stickers appear to be making a comeback (Cafe Press) Analogue versus digital signals: What do they look like? (BBC, GCSE) Analogue versus digital technology & sampling (Explain That Stuff!) Generation loss: When stuff becomes crapper after you copy it (Wikipedia) A (slightly cheesy) but simple explanation of analogue versus digital sound waves (YouTube) Digital audio tape, or DAT (Webopedia) Digital audio tape (Wikipedia) The Hateful Eight: An explainer on 70 mm film (Nerdist) Lodestsar Pinot Gris (Naked Wines) Digital sound recording uses binary code, i.e. 1's & 0's (Encyclopaedia Britannica) How to count in binary (Instructables) How to 'play back' a picture of a sound wave (Griffonage-Dot-Com) What is sampling rate? (Wikipedia) The science of sample rates: When higher is better & when it isn't (Trust me I'm a scientist) The Running Man, circa 1987 (Wikipedia) Explanation of the 44.1 kHz CD sampling rate (Columbia University) Music, not sound: Why high-resolution music is a marketing ploy (Kirkville) How audio compression works & can you really tell the difference (MUO) MP3 or lossless: See if you can hear the difference with this test (LifeHacker) A decade of iTunes singles killed the music industry (CNN Money) The impact of digital recording on the music industry (The Bionic Sisters) The effects of digital music distribution: A graduate school research paper (Southern Illinois University Carbondale) Jean Michel Jarre playing the laser harp wearing asbestos gloves (YouTube) How CDs work (How Stuff Works, Electronics) How CD & DVD drives work (Explain That Stuff!) The compact disc, or CD, was co-developed by Philips & Sony (Wikipedia) You can buy blank vinyl albums for $20 (Amazon) What is modulation & demodulation in a modem? (Quora) Digital to analogue conversion, or DAC (Whatis.com) What is a digital to analogue converter? (Wikipedia) Digital Versatile Disc, or DVD (Wikipedia) What is the difference between CD, DVD & Blu-ray discs? (Quora) LaserDisc (Wikipedia) LaserDiscs were like comically large CDs: Watch this guy insert his into a player (YouTube) LaserDisc FAQ (Disc Dude) What is Blu-ray? (Wikipedia) Why is the CD 74 minutes long? (Gizmodo) The great Blu-ray versus 'high-definition optical disc' format war of 2006-2008 (Wikipedia) The VHS versus Betamax format war (The Conversation) What was Betamax? (Wikipedia) The set list from the Dire Straits Gateshead Stadium concert, 13 June 1992 (setlist.fm) A flicker of remembrance of the Dire Straits Digital Compact Cassette promotion Johnny mentioned (Steve Hoffman Music Forums) The Digital Compact Cassette, or DCC, circa 1992 (Wikipedia) What is a MiniDisc & how does it differ from a CD? (How Stuff Works, Tech) An homage to the MiniDisc (Minidisc.org) The future of audio technology (The Inquirer) The future of audio recording, as predicted in 1998 (Turing Machines) How MP3 files work (How Stuff Works, Tech) Lossy compression (Wikipedia) Where are you from? Send us a postcard! Strange Attractor, c/ PO Box 9, Fitzroy, VIC 3065, Australia Corrections Conventional DVDs use 650 nm red lasers, CDs use 780 nm near-infrared lasers & Blu-rays use 405 nm blue lasers (but it's actually in the violet range) (Wikipedia) Cheeky review? (If we may be so bold) It'd be amazing if you gave us a short review...it'll make us easier to find in iTunes: Click here for instructions. You're the best! We owe you a free hug and/or a glass of wine from our cellar Click to subscribe in iTunes

FireConnect Since almost the beginning we have been looking for ways to ditch wires. They are a pain to run across rooms, create unsightly bulges in carpet or even require drywall cutting. There are a few technologies that have been out for some time now. We have AirPlay by apple, Chromecast by Google, Bluetooth, and few other lesser known technologies. They all work pretty well and have support from various receiver manufacturers. A newer technology was brought to our attention by a listener called FireConnect. FireConnect is the brainchild of San Francisco based Blackfire Research Corp. Fireconnect has the usual feature list but goes beyond what the typical wireless protocols support today. Features: High-res and multichannel -  Streaming of up to 24-bit/192kHz audio, and multichannel 2.1, 5.1 or 7.1 audio. Lossy or lossless BT and Aux Input Rebroadcast - Auxiliary inputs and Bluetooth devices will be rebroadcast wirelessly. Multi Source Play -  You can sync zones or play them independently. Video streaming -  Currently if you want to stream video you need an add on device. FireConnect is hoping to make streaming video as simple as sending it to your A/V Receiver or TV. Their spec supports the ability to stream HD Video and lossless 24-bit/192kHz Studio Quality HD audio to any device. Google Cast included - Why not? It's open to the world! To keep everything running smooth and in sync, Fireconnect gets down to the packet layer of your network data. RPM (Real-Time Packet Management) Delays in receiving packets is one of the most challenging issues in real-time video delivery over wireless networks. A late packet becomes useless for the decoding and display even if it is received correctly at the receiver. RPM allows Fireconnect devices to stream HD Video and lossless 24-bit/192kHz Studio Quality HD audio to any device in any room - it's how they make sure that there are no gaps or drop-outs in your music and video. TIS (Traffic Independent Synchronization) No matter how busy your network is, your content stays in sync. Delays are adjusted in real time so that a speaker in the family does not drift too far off from the rest of the zones. These adjustments are happening constantly and are not noticeable by the listener. DSB (Dynamic Stream Balancing) When streaming to multiple devices, DSB keeps it all in balance.  - Not quite sure what this is but keeping things in balance is always a good idea! The goal is to wirelessly transmit your audio and video to your media devices, which include Multi-Room smart speakers, A/V Receivers, smartwatches and smart TVs across different manufactures so long as they use the Fireconnect technology.  The technology will be able to turn your smartwatch into a music hub that can wirelessly send audio to your wireless headphones or music zones throughout your house. Video does not have to be point to point. You will be able to stream a video signal to multiple screens. So you'll be able to watch the same video throughout your home whether it's on the big screen or tablet. Where can I get it? Pioneer and Onkyo have receivers that support this tech. Pioneer VSX-1131 7.2-Channel AV Receiver with MCACC built-in Bluetooth and Wi-Fi $539 - Firmware update required Onkyo TX-NR555 7.2-Channel Network A/V Receiver $449 Firmware update required. Multi-room audio enabled by this technology requires an optional Onkyo wireless speaker scheduled for release in late 2016. Onkyo cannot guarantee the compatibility of its A/V receivers with other devices featuring FireConnect. Uh-Oh!! HTC One  Play music simultaneously to multiple Blackfire compliant speakers from HTC One M9. As far as speakers go we couldn't find any. That's not saying there aren't any, but a simple search revealed nothing. So pretty much as best as we can see it. You'll be able to send audio from your HTC One to an Onkyo or Pioneer receiver and have it play through your wired speakers. This technology was announced in 2010 and may only be coming on the scene. We'll keep our eyes on it for you and see how it develops. But right now we have a hard time seeing how it will be able to beat Google and Apple's entrenched technology.

Feat: ZES, Fifty Grand, Louis Rain, Djrum, Cosmic Quest, SmokeStacks, Virginia Palms, deeB, Evil Needle, KRNE, Imagined Herbal Flows, [KSG], DRWN., [ lucky . s ], fiji.water, Miyagi, Sawa Trio, Lossy, TSURUDA, Birocratic, Blue Hill Dubz, Lutan Fyah, Kali Green, La Boum Fatale, Corwood Manual, Jesper Wrath, Sau Poler, Alfred English, Duckem, Drew's Theory, Pacific Heights, Shaan Singh, Hatti Vatti, Es.tereo, Other Spectrum, Zhu and IRONIXX.

In this episode we are joined by Ian Moore and the Lossy Coils. Ian, Matt, Greg and Travis talk to us about their new music, what's coming this year, Ian being selected to the Governor's Board of The Grammy's, choosing songs for set lists, opening for hard rock bands like Cheap Trick and 3 Doors Down, the first time Ian played acoustic without a mic to specific audience members, the evolution of Ian's sound, playing Tulsa throughout the years, performing at The Colony, the good and not so good reasons people ask to hear Satisfied, David Bowie, their cover of Al Green's "I'm a Ram," and a ton more. We kick off the episode with some talk about Ian's music. Thanks for listening, and please share!

Topic:  Images On Your Site   Compression By doing the compression yourself you can take control of quality and aspect ratio of your images, instead of letting your site’s content management system, or a social media platform decide for you.     There are two types of compression, generally, when talking about image files: Lossy(jpeg) - Where you do lose some of the file fidelity and it doesn’t come back.  But it is supposed to be getting rid of unnecessary information that didn’t really matter. Lossless - This compression does not lose any fidelity.  These file types are tiff, vector files or native application files, raw files, and zip compressions, to name a few.   Most of the time, you are better off converting your image files to jpeg (or jpg) format because of the general acceptance of this image file type.  To the naked eye you are not going to see any degradation in the quality of an image.     There are arguments on both sides regarding what file size you should use on your own site or social media sites.  If you go with a larger file size then you’re going to allow people to really see and experience your image and visualize your art in a better way.  On the other hand you may invite someone to copy your image and use it elsewhere as their own or without your permission.   By making your images too small you may inadvertently be turning away an audience that would otherwise be interested in purchasing your work.   Social media sites will often compress to a size of 2048 px on one side or smaller.  Many sites will decrease it to a much smaller size.  You could go with something around 800 px size and still be able to show your image quite well.  If you compress it yourself, then you should be able to take control and set the compression and size and aspect ratio to what you want.   Current versions of Adobe Photoshop (the creative cloud subscription) is calling the compression “quality” for jpg now in the area where you select file/save as (the way we’re used to saving files).  In this area you have the option of saving jpeg quality scale option from 1 to 12.   This setting is a little misleading.  The word quality is actually referring to the algorithm that the program will use to compress your file and it is an old compression.  It makes files bigger than they need to be and doesn’t make them look any better.   I would use the “save for web” legacy option.  It takes advantage of the newest algorithm from Adobe and you can set the percentage in this option to 80%.  The “export as” option is very new but has been changed by Adobe a few times.  I am guessing that sometime in the future it will probably be a good option. If you do decide to use File/Save As option then I would set the “quality” option to 10.  That 10 corresponds to about 80%.  If you set your images to 80% quality then you will still allow all the quality and fidelity to be seen and looks no different than if you had used 100%, even if you print the image.  It will look fine to your eyes and everyone else's.  Remember that even at “100%” it is compressing the file down.     If you are using an image file on your homepage that will be downloaded a lot, then I would try and keep that file very small because that affects your page load time, which may in turn affect the bounce rate.  And all those things will affect the rank of your site in a search. What about thieves? My philosophy is that you are going to always have thieves and immoral people who will steal your images regardless of what you do.  If someone is going to steal, then impeding that via a watermark or small image will not prevent them from doing so.  A thief will always exercise their job description.     Although, there isn’t anything wrong with having some safeguards in place to ward off the thief but when it comes to sacrificing image quality that is where I would draw the line.  We cannot allow a criminal to make us show something less than par on our sites.  Links mentioned in the show:   Canva.com - go to “create a design” and you will be presented with any social media image types.  You can mouse over the option and it will show you the exact dimensions required for each option.     Affiliate link: Special Audible Offer for Colored Pencil Podcast   If you’d like to submit a question that may be potentially featured here on the show, just write to us at podcast@sharpenedartist.com  or complete the online form at http://sharpenedartist.com/qanda Want to use your voice to record a message to us? Just click the side widget, at http://sharpenedartist.com/podcast to the right labeled "Send Voicemail", to send an audio file to us!  You can simply use your mic from the computer!   Do you need help building your own website or blog?  You can contact me to discuss the options I offer.   Click here for help building your website or for a free site evaluation.   As always, thanks for listening! Tune in next week for more from John and Lisa. In the meantime, be sure to visit www.sharpenedartist.com for additional updates and information. You can also join our Facebook group, Colored Pencil Podcast, or contact us by email at podcast@sharpenedartist.com. Are you ready to increase your presence online and maximize your art career? Click here to start the conversation today! Stay sharp!  

2015 - A Year in ReviewThis week we are releasing a clip episode reviewing our year as we are taking the last two weeks of the year off!We discuss an episode every month from January through December including: Ep. 40 - Steve Gerkin, Author of "Hidden History of Tulsa" Ep. 44 - Skytown Ep. 48 - Brad, Chad, and Hunter from Cain's Ballroom Ep. 52 - Brett Birdsong Ep. 57 - Abby and Chris from the Tulsa Film, Music, Arts and Culture Office Ep. 64 - BoxMan Ep. 65 - Jerry Wofford - Tulsa World Ep. 71 - Andrés Franco - Music Director of Tulsa's Signature Symphony Ep. 77 - Cowgirl's Train Set Ep. 81 - Cole Porter Band Ep. 85 - Ian Moore and The Lossy Coils

Ian Moore, From Austin, Texas, returned to the basement and this time he brought with him exclusive songs and his band, The Lossy Coils! We discussed where creativity comes from, interesting rhyming styles, and how confidence is affected when you're sensitive to your art. At the beginning of the episode, after an awkward intro, you'll hear a recording from Ian's first visit explaining and playing his song "Battlelines" which was the first song played live for the show!  Find Battlelines on Itunes Find Ian on his Website/Facebook/Twitter You can find all links and more information at www.fromabasementintulsa.com

Show #157 shakes the dust off of the podcast feed with a continuous mix that moves from downtempo works to drum and bass selections and back again. Featured artists include Quantic, Positive Flow, Bastien Keb, Zagar, Satele, Danny Scrilla, and others. This episode is NOT WORKSAFE.

Ian Moore, a musician from Austin, TX, stopped in on his tour to hang out and let us play some of his songs from his albumEl Sonido Nuevoand even played us an acousic song! I really had a great time getting to know Ian and where his creativity and inspiration are drawn. Please check out his website and buy some of his music! http://ianmoore.com/ http://ianmoore.bandcamp.com/ El Sonido Nuevo on iTunes!https://itunes.apple.com/us/album/el-sonido-nuevo/id429143857 Find Us! http://www.fromabasementintulsa.com/ https://www.facebook.com/fromabasementintulsa http://twitter.com/fabitpodcast

Analog audio technology. Lossy compression:Quantization, Sub-sampling. Relative encoding (a.ka. differential coding)

Analog audio technology. Lossy compression:Quantization, Sub-sampling. Relative encoding (a.ka. differential coding)

Techno fossil