Podcasts about Sox

With another home loss for the Red Sox, the crew debate if this will end up being the worst season in Red Sox history. If you're sick of watching the Sox, Scheim suggests trying out the World Cup.

The Sox begin a three game series at Fenway today. When is the next time we see Roman Anthony play a game? Is it starting to feel like a wash of a season for him?

SEGMENT - Arcand switches gears to the Red Sox in hour three of tonight's show as the Sox have won their first series at Fenway since early-April. What is going on with Connelly Early though, as the 24-year-old rookie has become a Dong machine.

HR3 - Arcand kicks off the third hour of tonight's show paying tribute to the late great Eddie Andelman before shifting gears to the Red Sox. as the Sox have won their first series at Fenway since early-April. What is going on with Connelly Early though, as the 24-year-old rookie has become a Dong machine. Has Red Sox ownership already decided to part ways with Craig Breslow? Arcand is joined by reporter Kat Cornetta of the Ipswich Local News in New England Nightly News to discuss the scandal involving the Ipswich High School boys lacrosse team. Finally, the Carolina Hurricanes are Stanley Cup champions

Jones and Keefe got into the Red Sox, their approach to the trade deadline, and who will be calling the shots.  The guys also previewed the Sox upcoming series against the Blue Jays at Fenway.  On a Tier Tuesday, Jones and Keefe tiered the Red Sox assets.

Can the Sox turn it around in time for the playoffs?

Welcome to the **True Chicago Sports Fans Podcast** — BIG-Z and the boys have a LOT to talk about today!

Episode 627: A series win for the Red Sox feels like a confusing process in 2026. Stories about the Sox have given the guys plenty of news to react to, and the latest batch continues to highlight just how dysfunctional the front office has become. Sam Kennedy's quotes about selling in early June brought the reality of the season into sharp focus, leaving the boys asking whether simply winning series is what fans should even want for the rest of the year. The team's recent form won't stop Jared, Steve, and Tyler from heading to AMB. They recap their latest Fenway Friday experience—including an interview that will be released soon! Trade rumors continue to swirl, highlighted by Aroldis Chapman calling out Yankees GM Brian Cashman. Willson Contreras has carried the Red Sox on his back all season, and the crew weighs the risk of trading him while he still has control left on his contract. The Tartan Army's takeover of Fenway during Sunday Night Baseball took center stage, sparking a plea to bring them back for the next series against the Blue Jays. Stevie Stats drops some eye-popping numbers that may cause early-onset baldness, and for the first time in a long time, the Klark's Ketchup MVP is handed out. 00:00:00 - Section 10 Discord, Elite00:03:36 - AMB Fridays00:07:33 - An Interesting Sighting at Fenway00:12:41 - Sam Kennedy's Quotes | Do We Want Sam on The 10? Let Us Know in the Comments00:19:22 - Pedroia Says No to the Sox00:28:44 - Laughing Stock of the League (Again)00:42:08 - Sox Win a Series?? + Sox in the Box00:54:43 - Sunday Night Sox00:55:07 - Taikus01:00:51 - What Are We Rooting For This Year?01:01:57 - Say Sorry to Chapman, Cashman01:06:34 - Team Extreme at AMB 01:10:37 - Brian Abraham Interview Coming Soon…01:15:46 - What Would the Red Sox Be Without WC-40?01:22:15 - Would You Consider Trading WC-40?01:25:05 - Jared's Bad Take01:31:52 - Scot Sox01:44:34 - Bowser and Romy Coming to Save the Season?01:50:49 - Roman Anthony, Mob Boss02:00:41 - 0-37 When Down 3+ Runs This Year02:02:27 - Klark's Ketchup MVP Vote02:20:28 - Stop and Shop02:25:42 - Weather Lookahead02:28:50 - Predictions | Bring the Scots Back to AMB02:37:09 - Final Thoughts  Get your Sea Dogs Tickets For Section 10 Night! https://www.gofevo.com/event/Section10TixJerz2026?_gl=1*1yekqqg*_gcl_au*MTYwNDc4MDMyNi4xNzc5MTQxOTkw*_ga*MTQ4ODcyNDk0NC4xNzc5MTQxOTkw*_ga_HBHG8ES33G*czE3NzkxNDE5ODkkbzEkZzEkdDE3NzkxNDIyMTgkajYwJGwwJGgw We're looking for an intern to help cut clips from our shows! Interested? Send an email to Section10intern@gmail.com with examples of your work. SECTION 10 MERCH IS HERE: ⁠https://section10merch.com⁠ Trade $20 Get $20 on Kalshi - ⁠http://kalshi.com/r/SECTION10⁠  Get Blue Moon Non-Alcoholic Belgian White Belgian-Style Wheat Brew delivered by visiting ⁠http://get.bluemoonbeer.com/JARED⁠ for delivery options Find out why Nutrafol is the best-selling hair growth supplement brand. Visit Nutrafol.com and enter promo code SECTION10 for $10 off your first month's subscription and free shipping. Discover upgraded basics, fresh styles, and more at http://mackweldon.com Plus, get 20% off your first order of $125 or more with code SECTION10. This episode of Section 10 is sponsored by BetterHelp. Sign up and get 10% off at https://BetterHelp.com/ROCKET #ad  Learn more about your ad choices. Visit megaphone.fm/adchoices

Hour 4 - Does Jaylen Brown really want to be a Boston Celtic after another year of trade rumors. Are the Sox going to make a move for a bat or continue to be background noise?

Despite taking two out of three against the Rangers. How much excitement has the Tartan Army brought back to Fenway Park. Wiggy calls the Sox background noise.

Sox fans! Our Chicago White Sox just had one amazing week. The Sox took two of two from the Atlanta Braves then took two of three from the LA Dodgers. Outstanding performances from Davis Martin, Chase Meidroth and the new kid on the block: Braden Montgomery. The Sox are tied with Cleveland at the top of the Central and have a big week on the road in New York and Detroit. This team is special and with Teel on his way, it's a great time to be buyers. Thank you for the continued support. Go Sox! #WhiteSox

Patrick Moorhead and Daniel Newman cover Tim Cook's final WWDC as CEO and Apple's Gemini-powered Siri strategy, the $35 billion Apollo and Blackstone deal backing Anthropic's capacity expansion, Intel's packaging wins with Google and NVIDIA, SpaceX's IPO at a $1.77 trillion valuation, Anthropic's Claude Fable 5 and Mythos 5 launch across every major cloud, and earnings reactions from Oracle, Micron, and Adobe. The handpicked topics for this week are: Apple's Siri AI Will Run on Gemini, Closing Out Tim Cook's Final WWDC as CEO: At WWDC, Apple confirmed Siri AI will run on Gemini through a new billion-dollar per year, multi-year deal, while Apple's Foundation Model Cloud Pro runs on NVIDIA GPUs inside Google Cloud. The announcement marks Tim Cook's last WWDC as CEO before John Ternus takes over on September 1. Apple isn't building its own AI cluster or competing on CapEx. They're betting that by owning the consumption layer, backed by access to health data and private messaging through iMessage, Apple will have a moat that compute spending can't replicate. (The Decode) Apollo and Blackstone Close the Largest Private Credit Deal Ever Backing Anthropic's Capacity Expansion: A $35 billion deal, the largest private credit transaction on record, will fund Google TPU capacity tied to Anthropic's compute needs, with Broadcom backstopping senior debt tranches and Google backstopping lease payments. The structure treats compute as a lendable asset class and signals more than 20 gigawatts of demand still being built out through 2028. Circular financing between chipmakers, cloud providers, and AI labs has moved from controversial to standard practice. (The Decode) Intel's Foundry Wins Packaging Work on Google's TPUs, Not a Full Fab Deal: Reports that Intel landed a deal tied to Google and NVIDIA reframe what's actually being handed off. Intel gets the packaging work on over 3 million TPUs, the compute die stays with TSMC, and the I/O die is being negotiated with Samsung at 2nm. INTC rose 12% Monday. The deal represents a low-risk path for Intel to augment, not replace, TSMC, while raising questions about anti-competitive dynamics in the foundry market. (The Decode) SpaceX Becomes an AI Infrastructure Company With a $1.77 Trillion IPO: SpaceX's IPO priced amid oversubscribed demand, with its valuation now reflecting not just Starlink connectivity and launch dominance but a newly material AI business, including AI1 orbital data center tests planned for late 2027 and a $920 million per month Google compute contract running through 2029. A sum-of-the-parts breakdown of the connectivity, launch, and AI segments lands well short of the trading price, with the gap largely explained by confidence in Elon Musk's track record of execution. (The Decode) Anthropic Launches Claude Fable 5 and Mythos 5 Across Every Major Cloud: Anthropic shipped Claude Fable 5 and Mythos 5 with same-day availability across Snowflake, AWS Bedrock, Vertex AI, and Microsoft Foundry, pricing at $10 and $50 per million tokens. The hyperscaler-neutral distribution strategy lands ahead of Anthropic's anticipated IPO. The models represent a real step up in research capability over Opus 4.8, but they come with a significant change. Users no longer have the option to opt out of data sharing with Anthropic, a shift some enterprises, including Microsoft, are already responding to. (The Decode) Is SpaceX a Once-in-a-Generation Entry or the Top of the Market? One side argues SpaceX represents a generational opportunity on par with early Amazon or Netflix, with interplanetary travel and off-world resource extraction as the long-term payoff that justifies looking past current valuation math. The other side argues this is peak euphoria: a company trading at roughly 95 times sales, propped up in part by circular investment from Google into both SpaceX and its AI segment, with a steep drawdown likely before any sustained climb. (The Flip) The Chip and Security Trade Reverses From Broken to Bifurcated: The semiconductor sector posted its biggest single-day gain since 2020, with the SOX up 5% on Monday, June 8, as a prior selloff in names like Broadcom, CrowdStrike, and Palo Alto Networks fully reversed. Intel rose 12%, Marvell 10%, and Corning 7%. The rebound reframes the AI trade narrative from a broad breakdown to a split between winners and laggards within the same sector. (Bulls & Bears) Oracle Posts a Record Quarter, But the Market Focuses on a $50 Billion Funding Plan: Oracle delivered record revenue of $19.2 billion, up 21 %, with EPS of $2.11, beating estimates of $1.89. IaaS grew 93 %, the fastest pace among hyperscalers, and RPO hit $638 billion, up $85 billion quarter over quarter, including $75 billion in AI contracts. FY27 guidance of $90 billion was maintained, and EPS guidance was raised, yet the stock fell 5% after hours amid concerns about Oracle's capital spending plans. Oracle's AI cloud backlog now exceeds those of AWS, Google, and Microsoft, built heavily on commitments from Anthropic and OpenAI. (Bulls & Bears) Micron's Profit Trajectory Puts It in Google's Earnings Tier: Micron is projected to generate nearly as much profit in 2027 as Google, with Q2 revenue of $23.86 billion, up 22 % and beating estimates, and Q3 guidance of $33.5 billion in revenue, $19.15 EPS, and 81 % gross margin. The stock is up 776%, with Wall Street firms, including UBS, raising price targets. The open question is whether memory has broken its historically cyclical pattern given sustained AI demand. (Bulls & Bears) Adobe Beats Across the Board, But the Stock Drops on CEO Departure and Freemium Pivot: Adobe posted record revenue of $6.62 billion, up 13 % and beating consensus of $6.45 billion, with non-GAAP EPS of $5.96, topping estimates of $5.81. AI first ARR tripled year over year to over $500 million, with total ARR reaching $27.1 billion, and FY26 guidance was raised. The stock still fell 5.5 % after hours, driven by the CFO's departure to Marvell and market concern over a strategic shift toward freemium pricing that delays near-term profitability. (Bulls & Bears) Watch the full video at sixfivemedia.com, and be sure to subscribe to our YouTube channel so you never miss an episode. The Decode Apple WWDC- Apple Caves to Google AND NVIDIA — Siri AI Runs on Gemini ($1B/yr) + Apple Foundation Model Cloud Pro Runs on NVIDIA GPUs in Google Cloud; Tim Cook's Final WWDC as CEO Before John Ternus Succeeds Him Sept 1 https://www.cnbc.com/2026/06/08/apple-wwdc-2026-live-updates.html Google's $35B Infra Deal — Apollo + Blackstone Close the Largest Private Credit Deal Ever; Broadcom Backstops Senior Tranches; Google Backstops Lease Payments https://www.reuters.com/business/apollo-blackstone-back-anthropics-35-billion-capacity-expansion-new-broadcom-tie-2026-06-09/ Intel's Foundry Reportedly Wins Google Packaging (Not Full Fab) — The Information Reframed: 3M+ TPU Packaging by Intel, Compute Die Still TSMC, I/O Die Being Negotiated With Samsung 2nm; INTC +12% Monday; Pat Calls Out TSMC Anti-Competitive Risk https://www.trendforce.com/news/2026/06/09/news-intel-foundry-gains-momentum-as-google-reportedly-orders-3m-tpus-nvidia-evaluates-18a-for-multi-die-gpu-design/ SpaceX Becomes an AI Infrastructure Company — Friday IPO at $1.77T; AI1 Orbital Data Center Tests Late 2027; Google $920M/mo Compute Contract Through 2029 https://finance.yahoo.com/markets/stocks/articles/spacex-poised-history-record-75-100000402.html Anthropic Ships Claude Fable 5 + Mythos 5 — Same-Day Distribution Across Snowflake, AWS Bedrock, Vertex AI, Microsoft Foundry; Hyperscaler-Neutral by Design Ahead of IPO; $10/$50 per M Tokens https://www.anthropic.com/news/claude-fable-5-mythos-5 The Flip FOR: https://www.cnbc.com/2026/06/11/spacex-billionaire-investing.html AGAINST: https://www.nytimes.com/2026/05/20/technology/elon-musk-spacex-ipo.html Bulls & Bears The Chip + Security Tape Recovery — SOX +5% Monday June 8 (Biggest Day Since 2020); AVGO/CRWD/PANW Selloff Reversed; Intel +12%, Marvell +10%, Corning +7%; the AI Trade Pivots From "Broken" to "Bifurcated" https://www.investopedia.com/stock-market-today-dow-jones-s-and-p-500-06082026-11992852 Oracle (ORCL) Q4 FY26 ACTUALS — Record $19.2B Rev (+21%), EPS $2.11 Beat ($1.89); IaaS +93%; RPO HITS $638B (+$85B QoQ, $75B AI Contracts); FY27 $90B Guide Maintained, EPS Guide Raised; Stock −5% AH on Massive Capex Plan https://www.tradingkey.com/analysis/stocks/us-stocks/261959450-oracle-record-q4-2026-earnings-report-cloud-data-center-stock-tradingkey "$MU Will Generate Almost As Much Profit in 2027 as $GOOGL"; Q2 Rev $23.86B (+22% Beat), Q3 Guide $33.50B / $19.15 EPS / 81% GM; MU Stock +776%; UBS Among Wall Street Raising Targets https://247wallst.com/investing/2026/06/11/wall-street-just-put-a-monster-target-on-micron-is-the-stock-still-too-cheap/ Adobe (ADBE) Q2 FY26 ACTUALS — Record $6.62B Rev (+13%) Beats Consensus $6.45B; Non-GAAP EPS $5.96 Beats $5.81; AI-First ARR Triples YoY to $500M+; Total ARR $27.10B; FY26 Guide RAISED; Stock −5.5% AH Despite Beat-and-Raise https://www.businesswire.com/news/home/20260611677110/en/Adobe-Reports-Record-Q2-Results    

WEEI presents a collection of discussions surrounding a historically bad week for the Boston Red Sox, featuring segments from The Greg Hill Show, Jones & Keefe, and Rich & Ken with Ted Johnson. The guys react to the Sox making the wrong kind of history since 1901 with a matrix-glitch level of strikeouts, plus Red Sox President Sam Kennedy addresses the Garrett Crochet drama and the ongoing Roman Anthony injury confusion. That and more on this week's Best Of Red Sox on WEEI!

WEEI presents a collection of discussions surrounding a historically bad week for the Boston Red Sox, featuring segments from The Greg Hill Show, Jones & Keefe, and Rich & Ken with Ted Johnson. The guys react to the Sox making the wrong kind of history since 1901 with a matrix-glitch level of strikeouts, plus Red Sox President Sam Kennedy addresses the Garrett Crochet drama and the ongoing Roman Anthony injury confusion. That and more on this week's Best Of Red Sox on WEEI!

WEEI presents a collection of discussions surrounding a historically bad week for the Boston Red Sox, featuring segments from The Greg Hill Show, Jones & Keefe, and Rich & Ken with Ted Johnson. The guys react to the Sox making the wrong kind of history since 1901 with a matrix-glitch level of strikeouts, plus Red Sox President Sam Kennedy addresses the Garrett Crochet drama and the ongoing Roman Anthony injury confusion. That and more on this week's Best Of Red Sox on WEEI!

This hour: The Tartan Army will be stateside for at least another week; Tatum has a whole summer to get back to 1st-Team status; Sox win B2B home games for the first time in a long while; Christian Gonzalez wants to be a Patriot, not a holdout

This hour: Bradfo says he could strike out Babe Ruth; Are the Sox allergic to momentum?; Boston's been better with ABS challenges; Bradfo asked Mickey Gaspar about leading off

This hour: Director of Player Dev. Brian Abraham joins on the phone; Baseball Isn't Boring branded kilts; Jeff in Watertown has a killer analogy for this Sox season; Players will always be weirded out by ownership

This hour: Scheim is indifferent about Spielberg; Sam Kennedy's moment of contrition on GHS; an MLB talent evaluator raises a dire warning about the Sox

Ken Laird & Chris Curtis reunite on their own show, after about a month of missed voicemails. Plus, recapping the Sox front office moves (will a righty bat help?); the Christian Gonzalez situation continues to confound; throwing eggs at Wemby a bridge too far

This hour: Tatum is statistically better than Brown, make no mistake; Dan pitches the return of the alt blue Sox unis; Tim Healey of the Globe updates us on Roman Anthony (it's not exactly promising); the Sox have the worst luck when it comes to injuries

There was tons of comments from Sam Kennedy about the state of the Red Sox to react to and he sounded like a totally different person. Just how bad are things with the Sox from top to bottom? Then, Craig Breslow is wanted man from Sox fans, but ownership are standing behind him because they don't have a better alternative plan. And, Aroldis Chapman is gearing up to leave, Dustin Pedroia is declining to join, and it feels like no one is going to want to join the franchise in this state.

Episode 431: Our lefty, Dallas Braden, is back on the show and reacts to an insane offensive display in Las Vegas. Tarik Skubal's impending return on Saturday throws an interesting twist into the story of the American League Central. No one thought the Chicago White Sox would find themselves atop the division in June. Southside Jerry plants his flag for the White Sox, and the guys discuss the odds of the Sox winning the AL Central. To wrap up the week, Jay Hay puts Jared and Tyler in the torture chamber with this week's Family Feud, in which Tyler makes Feud history. A must-listen edition of Baseball is Dead to send you into the weekend. 00:00:00 - Dallas Returns + His Reaction To The Vegas A's   00:26:25 - Tarik Skubal Returns Saturday   00:35:15 - The 1st Place Chicago White Sox  00:51:27 - Family Feud    01:12:13 - Live BID in The Future?  01:14:00 - Final Thoughts + Award-Winning Nugs  NEW BID MERCH IS HERE: https://www.baseballisdead.com Trade $20 get $20 on Kalshi - http://www.kalshi.com/r/BID Don't sleep on @ultrapouches. New customers get 15% Off with code BID at takeultra.com! #UltraPouches #ad Learn more about your ad choices. Visit megaphone.fm/adchoices

Brian opens with Sam Kennedy's latest head-scratching comments after the Red Sox got swept by the Rays as well as early reactions to Drake Maye and AJ Brown on the field together (0:00). Then, he chats with CBS Sports' Julian McWilliams about the Sox, Garrett Crochet's nagging injury, Craig Breslow's job security, and more (16:20). Brian and Jamie end by discussing the Knicks' incredible comeback win in Game 4 of the Finals, and answer a listener email about the Celtics (49:00). We want to hear from you! Leave Brian a message on the listener line at 617-396-7172. Or send us your questions for our mailbag at offthepike@gmail.com. The Ringer is committed to responsible gaming. Please visit https://fanduel.com/playwithaplan to learn more about the resources and helplines. Host: Brian Barrett Guest: Julian McWilliams Producer: Jamie McClellan Learn more about your ad choices. Visit podcastchoices.com/adchoices

Il est tôt, c’est le bordel au Moyen-Orient, la tech corrige, l’or est en bear market et SpaceX débarque en bourse demain. Les marchés ont pris une claque. S&P -1,62%, Dow -1,87%, Nasdaq -1,98%, SOX -3,6%. Le secteur tech est officiellement en correction à -11% depuis son pic du 2 juin. Dix jours pour effacer … Continued

Hour 1 - Everything redeemable about this Sox team? Hour 2 - How did day one of Patriots mini-camp go? Hour 3 - The News! Let Ipswich play! Hour 4 - What is the holdup with Gonzalez's contract extension?

Hour 4 - The crew debate how important Gonzalez is to the Patriots. Why are they dragging their feet it is smarter to pay him asap. Hill Notes have nothing nice to say about the Sox. More rage over the Ipswich Lacrosse team.

Gemma tries to keep the "train" on the track. James talks Lego convention & update on ankle. What happened to Mr Sox? We celebrate Sir David Attenborough 100th birthday by looking back at inventions over his lifetime. MANY laughs & Car Codswallop.  Talking Codswallop can be found on ALL social media: @CodswallopPod and we are on YOUTUBE too!!! :)  NOW ALSO ON TIKTOK. Talking Codswallop is NOW part of the UNFILTERED Studios. Find out more about them here: unfpod.com & help support INDIE podcasts. 

Suds and JT jump on for an emergency podcast to recap the incredible MLB debut from Braden Montgomery, capped off by a walk-off home run in a huge White Sox win over Atlanta.The guys talk through the biggest moments from the game, including:Braden Montgomery delivering three RBIs in his debut and instantly giving Sox fans a moment to rememberThe Sox battling back after falling behind earlyMiguel Vargas continuing to make a major impact at the plate and in the fieldThe bullpen doing enough to keep the game within reachThe frustration with the safety squeeze attemptsThe importance of stealing a win against one of the best teams in baseballWhat the Sox need to do to stay competitive during a brutal upcoming stretch against the Braves, Dodgers, and YankeesThe injury concerns and whether the Sox may need to look for another starting pitcherThe vibes are high, the young core is exciting, and the Sox are suddenly right in the mix.Sit back, relax, and strap it down, White Sox Therapy.

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.

Hour 2 - Leads from Greg and Wiggy. The two things Wiggy thinks you can learn from minicamp. They Said It hears from Gronk, Trump and Buster Onley. The crew debate why the Sox are such a laughingstock.

During They Said It, the crew hear from Buster Onley who says that the Sox are desperately trying to acquire a bat. Leading to a heated debate about what upsets you the most about this Sox team.

Tony and NWI Steve recap the White Sox's recent 2-4 road trip against the Twins and Phillies, then look ahead at one of the toughest stretches of the 2026 season. With Munetaka Murakami still sidelined by a hamstring injury, the Sox are about to face the Braves, Dodgers, Yankees, Tigers, and Guardians in an 18-game stretch that could define their season.The guys break down how the pitching staff and bullpen have held up without their best hitter, highlight Tristan Peters' surprisingly strong start, and assess Jacob Gonzalez's early MLB performance since his call-up. They also discuss roster moves, the use of openers, and what reinforcements (if any) might be available internally.Despite some recent struggles on the road, the White Sox remain at 34-31 and in the Wild Card picture. Tony and Steve give their predictions for how Chicago will fare during this brutal upcoming homestand and road trip.Listen now on YouTube and Spotify.Support the show! Purchase the most comfortable Chicago White Sox gear that you can own from our partners at ⁠HOMAGE⁠.Sox On Tap is presented by ⁠⁠⁠⁠⁠OnTapSportsNet.com⁠⁠⁠⁠⁠, your go-to source for ⁠⁠⁠⁠⁠White Sox news⁠⁠⁠⁠⁠, analysis, and updates.Follow us on social media: ⁠⁠⁠⁠⁠@SoxOnTap⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠@OnTapSportsNet⁠⁠⁠⁠⁠Panelists: ⁠⁠⁠⁠⁠@TonyOnTap⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠@nWi_Steve⁠

Hour 1 - Sox still holing onto hope, are you still in on this team? Hour 2 - Celtics are chasing the Knicks now. They Said It! Hour 3 - The News! Who are you willing to part with on the Red Sox? Hour 4 - What to do with Boutte? How good should Maye and Brown be together?

Hour 3 - Mego gives us the News for the morning. How an electric car took down a house. The Sox are in disarray, is it time to sell off big pieces?

Hour 1 - The Sox split the weekend series, but do we really believe in this team? The Knicks are up two nothing in the finals and Wiggy is dreading a very likely Knicks championship.

Jones and Keefe continued to discuss the Red Sox, their series split versus the Yankees, and Sox trade deadline approach.  What changes could be coming to the Red Sox roster and what is Craig Breslow's future with the organization?

Jones and Keefe opened the week discussing the Boston Red Sox, their series split with the New York Yankees, and how the Sox could approach the MLB trade deadline.  Finally, the guys talked about Craig Breslow's relationship with Theo Epstein.

Sox fans! Welcome back to a brand new episode. Our Chicago White Sox had a rough week on the road. They went (2-4) against Minnesota and Philadelphia. Sox offense continues to produce even without Murakami. Antonacci and Peters are a joy to watch and even Benintendi has stepped it up. The rest of the month is very tough and without reliable pitching, it will be a disaster. The Sox need to get more consistent outings from their starters and far better performances from their relievers. Should Getz buy at the deadline? What are you willing to mortgage? Live like there's no tomorrow or be patient and build for the future? Thanks for the continued support. Go Sox. #WhiteSox

A full four on a Saturday! Wonder if the Sox and Yanks will get this game off on time. Plus, the latest on AJ Brown's arrival to Foxboro! Right here on Mego & Scheim.

This is a free preview of a paid episode. To hear more, please visit our Patreon. Ben Lindbergh and Meg Rowley banter about Shohei Ohtani’s career-year pace, how often his number of times on base has exceeded his times on base allowed in his two-way games, and his awards outlook, discuss Aaron Judge’s injury and the wide-open AL MVP race, and then (1:06:39) Stat Blast about the most former catchers in one game, Brayan Bello’s woes as a starter, clustering a team’s plate appearances in one inning, perfectly parallel pitch counts for piggybackers, long-lasting low-WAR players, where in the batting order teams tend to go back-to-back-to-belly, players with the longest streaks of having a teammate in the World Series, the most times striking out looking, the best duos drafted consecutively, and more. Audio intro: Tom Rhoads, “Effectively Wild Theme” Audio outro: El Warren, “Effectively Wild Theme” Link to FG combined WAR leaderboard Link to batting pace leaders Link to pitching pace leaders Link to Ohtani game story Link to “true win” wiki Link to “I’m the Greatest” Link to Judge injury article Link to Judge injury testing article Link to article on Judge injury impact Link to Judge quote Link to Raiders scene Link to story about Raiders scene Link to Beer Barrel Man wiki Link to Ben on Ohtani and Judge 1 Link to Ben on Ohtani and Judge 2 Link to Amtrak event Link to Crizer on scoreless innings streaks Link to The Miz on Pokémon Link to Sánchez meal plan Link to Red Sox vs. Guardians game Link to Sox catchers tweet Link to The Onion blades article Link to Ben on Padres shortstops Link to Russell on emergency catchers Link to catchers Blast text Link to catchers Blast data Link to article on first-inning scoring Link to info on first-inning scoring and HFA Link to Bello Stathead query 1 Link to Bello Stathead query 2 Link to story on Bello being optioned Link to MLBTR on Bello Link to Yankees’ 13-run inning Link to % of PA in one inning text Link to % of PA in one inning data Link to Miller-Castillo game Link to parallel pitch counts text Link to SABR on Allan Roth Link to longest-lasting players Link to consecutive-homers text Link to consecutive-homers data Link to The Human Centipede 3 wiki Link to Jágr streak tweet Link to Jágr streak post Link to Jágr wiki Link to The Rural Juror clip Link to teammate WS streaks data Link to looking-strikeouts text Link to Beltrán K Link to previous “Toothpick” Jones episode Link to draft duos data Link to harmonic mean wiki Link to Brett-Schmidt draft round Link to listener emails database Link to Emil Gumbel wiki Link to @ScoringChanges tweet 1 Link to @ScoringChanges tweet 2 Link to @ScoringChanges tweet 3 Link to loose bodies clip Sponsor Us on Patreon Give a Gift Subscription Email Us: podcast@fangraphs.com Effectively Wild Subreddit Effectively Wild Wiki Apple Podcasts Feed Spotify Feed YouTube Playlist Facebook Group Bluesky Account Twitter Account Get Our Merch! var SERVER_DATA = Object.assign(SERVER_DATA || {}); Source

The best Red Sox conversations of the week from The Greg Hill Show, Jones & Keefe, and Rich & Ken with Ted Johnson. Brayan Bello gets demoted to Worcester after another implosion. Isiah Kiner-Falefa makes some odd comments about playing at home. Are the Sox going to buy or sell?

The best Red Sox conversations of the week from The Greg Hill Show, Jones & Keefe, and Rich & Ken with Ted Johnson. Brayan Bello gets demoted to Worcester after another implosion. Isiah Kiner-Falefa makes some odd comments about playing at home. Are the Sox going to buy or sell?

The best Red Sox conversations of the week from The Greg Hill Show, Jones & Keefe, and Rich & Ken with Ted Johnson. Brayan Bello gets demoted to Worcester after another implosion. Isiah Kiner-Falefa makes some odd comments about playing at home. Are the Sox going to buy or sell?

(00:00) Toucher and Hardy want to kill some time on a Friday and talk about the Knicks, but New York Post's Stefan Bondy big timed the show and said, “I'll pass.” So Fred took Beaton's phone and sent him a friendly message(22:31)(34:14) WHAT HAPPENED LAST NIGHT: The Hurricanes took Game 2 of the Stanley Cup Final last night with a 4-3 overtime win over Vegas. Seth Jarvis scored the OT winner. Brayan Bello was sent to Worcester after another dreadful start, giving up eight earned runs over five innings as the Sox lost 8-2. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Episode 624: The Sox dropped another home series at AMB, and that seems to be the least of their concerns heading into a weekend series in the Bronx. Another disgusting Brayan Bello start has landed him in Worcester, after the demotion. Jared, Steve, Tyler, and Coley all react to Craig Breslow's stunning move. They discuss Chad Tracy's postgame presser, which was filled with the phrase “I don't know,” and ask whether this team is going to get better before it gets worse. IKF's perplexing quote adds to the growing drama in the clubhouse, and the guys try to decipher what on earth it could mean about the team's atmosphere. The lone bright spot from the series was the performance of left-handed pitcher Payton Tolle. A full Tolle tongue bath is in order after his six shutout innings against Baltimore, which helps lighten the mood. There's also an update on the Shower Poop situation, plus the usual Stop & Shop and Stevie P's Weather Lookahead as the Red Sox head to New York to face the Yankees. 00:00:00 - Tyler Catches an Early Suspension   00:01:40 - Whose Hero Team is The Best? Listen To Clean 40! 00:04:44 - Episode Of The Year? 00:06:09 - Just Entertain Me Baby   00:09:34 - Brayan Bello Demoted 00:43:32 - “I Don't Know” - Chad Tracy 00:55:24 - Will We Ever See Brayan Bello Again in The Majors?  01:01:33 - The IKF Quote  01:13:51 - Is This Going to Get Better Before It Gets Worse? 01:15:52 - At Least We Have Payton Tolle    01:25:58 - Aaron Judge Hurt, AL MVP Race Wide Open 01:31:26 - The Red Sox Are Practicing ABS Challenges  01:40:51 - Ceddanne, Please Protect Yourself    01:44:24 - Stop And Shop   01:48:06 - Poop Shower Update 01:49:19 - Steve & The New York Latinas    01:57:51 - Weather Lookahead   02:02:27 - Prediction Time 02:10:16 - Final Thoughts  02:14:58 - Dario Pizzano Joins The Show Support The Fight Against MS and Support our Pal Dario: https://my.onecause.com/event/organizations/sf-0013c000021ii5lAAA/events/vevt:be27e027-6e99-41ef-93cd-b6c8fc1979a0/home/story | https://ms4ms.org/donate/  SECTION 10 MERCH IS HERE: https://section10merch.com Trade $20 Get $20 on Kalshi - http://kalshi.com/r/SECTION10  Get Blue Moon Non-Alcoholic Belgian White Belgian-Style Wheat Brew delivered by visiting http://get.bluemoonbeer.com/JARED for delivery options Find out why Nutrafol is the best-selling hair growth supplement brand. Visit Nutrafol.com and enter promo code SECTION10 for $10 off your first month's subscription and free shipping. Shop plans at mintmobil.com/SECTION10 Protect your family with life insurance from Ethos. Get up to $3 million in coverage in as little as 10 minutes at https://ethos.com/SECTION Learn more about your ad choices. Visit megaphone.fm/adchoices

The Boston Red Sox lose yet another series at Fenway Park, this time at the hands of the Baltimore Orioles. Joey Copponi and Scott Neville discuss the changed perception of the Red Sox offense, The Brayan Bello Problem, and why the Sox cannot seem to win at Fenway. All that, and much more!   Find all of our links here! linktr.ee/ITMPod   Twitter: https://x.com/ITM_pod Instagram: https://www.instagram.com/itm_pod/ TikTok: https://www.tiktok.com/@itm_pod

Ken and Ted blind rank the Sox' worst moments (so far)

Hour 2 - Leads from both Wiggy and Greg. They Said It hears from, Craig Breslow, Sean McVay and A.J. Brown at his opening press conference. Can the Sox simplify things?

The Red Sox continue to struggle and we are sick of hearing about numbers. Wiggy says the Sox need to win more than three games in a row.