Podcasts about Band

Want to know your English level? Take our free English-level quiz here to find out what your current English level is.  Do you love All Ears English?  Try our other podcasts here: Business English Podcast: Improve your Business English with 3 episodes per week, featuring Lindsay, Michelle, and Aubrey IELTS Energy Podcast: Learn IELTS from a former Examiner and achieve your Band 7 or higher, featuring Lindsay McMahon and Aubrey Carter with Jessica Beck in previous episodes Visit our website here or https://lnk.to/website-sn If you love this podcast, hit the follow button now so that you don't miss five fresh and fun episodes every single week.  Don't forget to leave us a review wherever you listen to the show. Send your English question or episode topic idea to support@allearsenglish.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

Want to know your English level? Take our free English-level quiz here to find out what your current English level is.  Do you love All Ears English?  Try our other podcasts here: Business English Podcast: Improve your Business English with 3 episodes per week, featuring Lindsay, Michelle, and Aubrey IELTS Energy Podcast: Learn IELTS from a former Examiner and achieve your Band 7 or higher, featuring Lindsay McMahon and Aubrey Carter with Jessica Beck in previous episodes Visit our website here or https://lnk.to/website-sn If you love this podcast, hit the follow button now so that you don't miss five fresh and fun episodes every single week.  Don't forget to leave us a review wherever you listen to the show. Send your English question or episode topic idea to support@allearsenglish.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

It's here! The Randolph Davies and the Kickass official concert is finally available. From the outrageous life of Randolph Davies comes songs about TikTok addiction, wives and lovers, Michael Jackson "did it", Dancing boat captains, a guy that can't remember his kids' names, and so much more. Randolph takes over the stage at Austin's legendary Comedy Mothership for a night of pure chaos. 01:11 "Done Some Shit" 05:18 "Dana" 18:06 "TikTok" 23:28 "Little Bit" 30:00 "Secret Surprise" 40:47 "Asian Baby" 58:10 "Anal Is A Gateway" 01:00:16 "Porn" Featuring the incredible KB Band, crowd participation, "sponsors," confessions, and enough off-the-rails moments to make HR departments nationwide nervous. This is Randolph Davies live. No plan. No filter. No survivors. Tickets for the "Who Is Me" tour and merch available at https://www.adamraycomedy.com  Tour dates! June 15th & 16th - Brisbane City, AU June 17th - Sydney, NSW June 23rd & 24th - Melbourne, VIC June 24th - Melbourne, VIC June 26th - Auckland, NZ July 18th - Edmonton, AB July 19th - Winnipeg, CAN July 24th - Orlando, FL July 25th - Fort Lauderdale, FL July 26th - Tampa, FL July 31st - Aug 2nd - San Jose, CA Aug 4th - 6th - New Brunswick, NJ Aug. 9th - Halifax, CA Aug 23rd - Tempe, AZ Dr. Phil Live! June 18th - Sydney, NSW June 20th - Brisbane, QLD June 21st - Melbourne, VIC This Episode's Sponsor HomeChef! 50% off and free shipping for your first box PLUS free dessert for life! Go to ⁠⁠⁠⁠Homechef.com/ALN⁠⁠⁠⁠ Must be an active subscriber to receive free dessert. Learn more about your ad choices. Visit megaphone.fm/adchoices

Want to know your English level? Take our free English-level quiz here to find out what your current English level is.  Do you love All Ears English?  Try our other podcasts here: Business English Podcast: Improve your Business English with 3 episodes per week, featuring Lindsay, Michelle, and Aubrey IELTS Energy Podcast: Learn IELTS from a former Examiner and achieve your Band 7 or higher, featuring Lindsay McMahon and Aubrey Carter with Jessica Beck in previous episodes Visit our website here or https://lnk.to/website-sn If you love this podcast, hit the follow button now so that you don't miss five fresh and fun episodes every single week.  Don't forget to leave us a review wherever you listen to the show. Send your English question or episode topic idea to support@allearsenglish.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

EITM interviews Young The GiantSee omnystudio.com/listener for privacy information.

This week we go back 2.5 years and delve into the world of cardiovascular surgery when we review a review of STS data on the pulmonary artery band (PAB). The STS assigns a STAT category of 4 to this operation, denoting higher risk for mortality. Is this warranted? Are all PAB candidates equal? What features are associated with higher or lower mortality rates in patients undergoing banding? Should the data in this work drive innovation to avoid the PAB in some settings? These are amongst the questions posed to the senior author of this week's work, cardiovascular surgeon Dr. Tara Karamlou who is Professor of Surgery at the Cleveland Clinic in Cleveland, Ohio. DOI: 10.1016/j.athoracsur.2023.09.020

Adam flies solo this week and delivers a full episode covering the 10 non-negotiable things every working cover band needs to stop treating as optional. From your website and promo video to contracts, pricing strategy, and communication — if you want to get paid real money and get invited back, these aren't extras. They're the gig. Adam also shares a band update, previews upcoming shows, talks upcoming gear reviews (Maestro DMX and AbleSet 3), and responds to a recent two-star review.

Kate 'Babyshakes' Dillion is the frontwoman of the band Full Flower Moon Band.Check out their records Megaflower and Diesel Forever.Token Female Lead Dadaist.Please welcome Kate Dillion to Wear Many Hats.instagram.com/fullflowermoonband⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠instagram.com/wearmanyhatswmh⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠instagram.com/rashadrastam⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠rashadrastam.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠wearmanyhats.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Thank you for checking out another edition of Nerdy Bitz from Friends Talking Nerdy!Professor Aubrey and Tim The Nerd are back with another installment of Songs Of The Week, the segment where they share some of the music that has been resonating with them and deserves a spot on your playlist.This week, the musical journey begins with "Long Black Veil" by The Band, a haunting and timeless classic that showcases the group's incredible storytelling ability, rich harmonies, and roots-driven sound. It's a song filled with mystery, sacrifice, and emotional depth that has captivated listeners for generations.Following that is "Like A Feather" by Nikka Costa, a soulful and energetic track bursting with confidence, groove, and personality. Costa's powerful vocals and infectious rhythm make this a perfect contrast to the somber beauty of this week's first selection, creating a well-rounded listening experience that highlights the diverse tastes of your hosts.Whether you're discovering these songs for the first time or revisiting old favorites, Professor Aubrey and Tim The Nerd invite you to sit back, turn up the volume, and enjoy another carefully curated pair of musical gems.Don't forget to check out the Friends Talking Nerdy Songs Of The Week Playlist on YouTube Music and Spotify, where you can find these tracks along with every other song featured on the show. Be sure to subscribe, follow, and share the playlist with your fellow music lovers.Thank you for listening to Friends Talking Nerdy and supporting Nerdy Bitz!Support Friends Talking Nerdy on ⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠.As always, we wish to thank Christopher Lazarek for his wonderful theme song. Head to his ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for information on how to purchase his EP, Here's To You, which is available on all digital platforms.Head to Friends Talking Nerdy's⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠for more information on where to find us online.

Heavy metal is more than loud guitars and powerful vocals—it can also be a vehicle for storytelling, resilience, and personal growth. In this episode of The Raw Vibe, Chuck Tuck sits down with the members of RivetSkull to explore the band's journey from their roots as a Ronnie James Dio tribute act to creating their own unique brand of "Heady Metal."The conversation dives into the inspiration behind their music, the deeper meanings woven into their lyrics, and how they balance classic metal influences with modern themes that resonate with audiences today. The band also shares insights into the creative process, the challenges of navigating today's music industry, and why heavy metal continues to connect with listeners across generations.Whether you're a lifelong metal fan or simply curious about the passion and purpose behind the music, this episode offers an engaging look at the people behind RivetSkull and the message they hope to share through their art.

Dermot speaks to Aaron Coleman, the Donegal musician bringing mini-concerts to kitchens and sitting rooms across Ireland.

Gavin Rossdale of Bush joins Bobby to look back on the band’s rise, from the early days of breaking through to what life really looked like once success hit. Gavin shares the harsh reality of being a rockstar, the parts of fame people don’t always see, and how he learned to navigate the highs and lows that came with it. He also opens up about his friendship with Chris Martin of Coldplay, what their bond has meant to him over the years, and the moments that have shaped both his career and his life outside of music. Watch The BobbyCast on Netflix! Follow on Instagram: @TheBobbyCast Follow on TikTok: @TheBobbyCastSee omnystudio.com/listener for privacy information.

The Deadcast tells the dramatic story of when the Hells Angels put ex-Grateful Dead Records president Ron Rakow on trial for walking away from the Dead with $225,000 he believed the band owed him.Guests: Ron Rakow, Steve Brown, Terry Haggerty, John Scher, David Lemeiux See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Want to know your English level? Take our free English-level quiz here to find out what your current English level is.  Do you love All Ears English?  Try our other podcasts here: Business English Podcast: Improve your Business English with 3 episodes per week, featuring Lindsay, Michelle, and Aubrey IELTS Energy Podcast: Learn IELTS from a former Examiner and achieve your Band 7 or higher, featuring Lindsay McMahon and Aubrey Carter with Jessica Beck in previous episodes Visit our website here or https://lnk.to/website-sn If you love this podcast, hit the follow button now so that you don't miss five fresh and fun episodes every single week.  Don't forget to leave us a review wherever you listen to the show. Send your English question or episode topic idea to support@allearsenglish.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

When does refusing to repeat a lie become complicity in it?The hardest question in documentary filmmaking is not how to find the truth. It is how to handle a lie. When a false story is already loose in the world, you have two choices that look almost identical on the page: refuse to repeat it, or amplify it by debunking it. The discipline of knowing which is which can decide whether your film tells the truth or makes the lie stronger.In this Deep Dive on Documentary First Episode 279 with Brian Pocrass, host Christian Taylor digs into the question Brian asked on tape about how much oxygen you give a lie. The conversation took thirty minutes to arrive there, but the question turns out to be the spine of every documentary that touches a contested story. This episode traces that question through C.S. Lewis's The Screwtape Letters, Dietrich Bonhoeffer's life under the Nazi regime, Alexander Solzhenitsyn's 1974 essay Live Not By Lies, and a two thousand year old paradox in the book of Proverbs.The spine of the episode is Brian's question on tape: "The question is, how much oxygen do you give it?" That question runs straight into a paradox the rabbis of the Talmud spent centuries arguing over. Proverbs 26:4 says do not answer a fool according to his folly. Proverbs 26:5, the very next verse, says answer a fool according to his folly. The Talmudic resolution maps directly onto the filmmaker's dilemma: the stakes determine the answer. Christian closes the episode with her own test, drawn from her film The Girl Who Wore Freedom: the story of Michel de Vallavieille, the French farmer shot in the back by an American paratrooper on D-Day, and the famous Band of Brothers rumor she refused to put on screen.In this episode, Christian explores:Why every production company wanted Brian Pocrass to tell a different version of Heather O'Rourke's story than the one he ended up makingThe C.S. Lewis principle from The Screwtape Letters that the devil cares more about attention than beliefHow debunking a conspiracy theory can give the conspiracy a brand new piece of footage to point atDietrich Bonhoeffer's argument that silence in the face of evil is itself evilAlexander Solzhenitsyn's 1974 essay Live Not By Lies and the moral discipline of refusalThe two thousand year old paradox in Proverbs 26:4-5 and how the Talmudic rabbis resolved itWhy the Talmud's answer is sacred versus mundane stakes, and what that means for documentary filmmakersThe Michel de Vallavieille story from Christian's film The Girl Who Wore FreedomThe Band of Brothers rumor about Bill Guarnere that Christian refused to put on screenThe two questions every documentary filmmaker has to weigh before they amplify a storyChapters0:00 C.S. Lewis, the Devil, and Brian Pocrass's Question0:30 How Much Oxygen Do You Give a Lie?1:28 The Screwtape Letters and the Devil's Currency2:24 Bonhoeffer: Silence in the Face of Evil Is Evil Itself3:27 Solzhenitsyn's Live Not By Lies and Proverbs 264:59 The Girl Who Wore Freedom: Bill Guarnere and My Own Test6:14 The Question I Leave You WithFrequently Asked QuestionsWhen does debunking a lie make it stronger?Researchers at Data and Society documented this dynamic in a 2018 study called The Oxygen of Amplification. Repeating a false claim in order to refute it gives the claim attention, repeats the language, and trains the algorithm to surface it more. Britannica describes this dynamic as adding oxygen to the fire of misinformation. For documentary filmmakers, this means a debunking film about a conspiracy theory can leave viewers more familiar with the conspiracy than with the truth.What did Dietrich Bonhoeffer say about silence?Bonhoeffer's most famous line on the subject is silence in the face of evil is itself evil; not to speak is to speak; not to act is to act. Bonhoeffer was a German pastor in the 1930s who watched the German church surrender to the Nazi regime. He spent his adult life arguing against the silence of fellow pastors. The Nazis executed him in April 1945. His writings on costly discipleship remain among the most cited works of twentieth century theology.What is Alexander Solzhenitsyn's Live Not By Lies about?Live Not By Lies is the essay Solzhenitsyn released on the day the KGB arrested and deported him in 1974. He argues that while a single person cannot stop a lie from being told, every person can refuse to repeat it. The refusal itself is the action. The essay is one of the foundational moral texts of the dissident movement against Soviet totalitarianism and remains widely cited in discussions of personal moral resistance.How do the rabbis of the Talmud resolve Proverbs 26:4 and 26:5?Proverbs 26:4 says do not answer a fool according to his folly, or you will be like him yourself. Proverbs 26:5 says answer a fool according to his folly, or he will be wise in his own eyes. The Talmudic resolution is that the two verses apply to different kinds of stakes. When the fool is talking about something sacred, you answer. When the fool is talking about something mundane, you do not. The wisdom is in knowing which kind of stakes you are facing.How do documentary filmmakers handle conspiracy theories about their subjects?There is no industry standard. Each filmmaker has to weigh the specific story. Some choose to confront the conspiracy directly and risk amplifying it. Others refuse to give the conspiracy screen time and risk being accused of avoidance. The discipline is to ask what the documentary makes more solid in the world and who the actual audience is: the people who already believe the lie, or the people who deserve the truth.About the Source EpisodeDocumentary First Episode 279 with Brian Pocrass aired on June 9, 2026. Brian is an attorney based in Los Angeles and the producer of She Was Here, the 2026 documentary about the life and death of Heather O'Rourke. The film features Heather's family debunking the Poltergeist curse rumor that has surrounded her death for almost forty years.Episode link: https://pod.fo/e/427c08About The Girl Who Wore FreedomThe Girl Who Wore Freedom is Christian Taylor's documentary about the children of Sainte-Marie-du-Mont, France, and the American GIs who liberated their town on D-Day, June 6, 1944. The film centers on Danielle Patrix Van Den Heede, whose family hid GIs in the days after the invasion, and Michel de Vallavieille, the young farmer at Brecourt Manor who was shot in the back by an American paratrooper on D-Day and went on to build the Utah Beach Museum and become the mayor of Sainte-Marie-du-Mont.Website: https://thegirlwhoworefreedom.comAbout Documentary First: The Deep DiveEach week, host Christian Taylor takes an insight from a recent Documentary First filmmaker interview and explores it through literature, philosophy, theology, current culture, and the universal human experience. It is a companion show to Documentary First, built for documentary filmmakers, lovers of story, and anyone who wants to think more deeply about what we are watching. Christian Taylor is a documentary filmmaker (The Girl Who Wore Freedom, Heroes of Carentan), actor, voice actor, and podcast host based in the United States.Resources MentionedDocumentary First Episode 279 with Brian Pocrass: https://pod.fo/e/427c08She Was Here, directed by Nick Bailey, produced by Brian Pocrass (2026)The Screwtape Letters by C.S. Lewis (1942)Dietrich Bonhoeffer (1906-1945), German pastor and theologianLive Not By Lies by Alexander Solzhenitsyn (1974 essay)Proverbs 26:4-5Talmud, Shabbat 30bThe Girl Who Wore Freedom, directed and produced by Christian Taylor: https://thegirlwhoworefreedom.comBand of Brothers by Stephen Ambrose (1992 book and 2001 HBO miniseries)The Oxygen of Amplification, Whitney Phillips, Data and Society Research Institute (2018)Listen and FollowListen to this episode on your preferred podcast app: https://pod.fo/e/[DD 279 CODE — TO BE ADDED ONCE EPISODE IS LIVE]Documentary First on all podcast apps: https://podfollow.com/documentary-firstYouTube: https://www.youtube.com/@documentaryfirstSupport the show on Patreonhttps://www.patreon.com/c/DocumentaryFirstConnectDocumentary First on all platforms: https://linktr.ee/doc1stConnect with Christian Taylor on...

Want to know your English level? Take our free English-level quiz here to find out what your current English level is.  Do you love All Ears English?  Try our other podcasts here: Business English Podcast: Improve your Business English with 3 episodes per week, featuring Lindsay, Michelle, and Aubrey IELTS Energy Podcast: Learn IELTS from a former Examiner and achieve your Band 7 or higher, featuring Lindsay McMahon and Aubrey Carter with Jessica Beck in previous episodes Visit our website here or https://lnk.to/website-sn If you love this podcast, hit the follow button now so that you don't miss five fresh and fun episodes every single week.  Don't forget to leave us a review wherever you listen to the show. Send your English question or episode topic idea to support@allearsenglish.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

The Slamfest Podcast brings the premier rock concert pregaming experience from the parking lot to the podcasting airwaves.  Episode 313 - Brad saw his sixth show of 2026 - a great double-bill.  Both bands from the Great White North - one of which I had never seen before one I hadn't seen in 18 years.  He saw Triumph and April Wine on 5/30/26 at Michigan Lottery Amphitheatre in Sterling Heights, MI. He welcomes Slamfest Crew Member Brad C. back to the podcast to discuss this show and both Triumph and April Wine.  For the Band on the Bill Spotlight, they create their dream Triumph setlist.  After a Slamfest Tip of the Week, they are faced with a "Which Side are you On?" Side 1 or 2 from Triumph's first compilation album, Classics, from 1989. Music in this episode by: April Wine Triumph Bon Jovi Motorhead Aldo Nova Black Sabbath Kiss Ozzy Visit the Slamfest Podcast online at: https://slamfest-podcast.simplecast.com Request to join the Slamfest Podcast private Facebook page here: https://www.facebook.com/groups/slamfestpodcast E-mail us at : slamfestpodcast@gmail.com

Jeffrey Paul and Sean Morton take on a fun rock and metal fantasy draft, building their ultimate supergroups from a list of legendary vocalists, guitarists, bassists, and drummers. From Bruce Dickinson and Chris Cornell to Eddie Van Halen, Cliff Burton, John Bonham, and Mike Portnoy, the guys debate who belongs in the perfect band while delivering plenty of laughs, hot takes, and a classic argument about Rush. Who would make your dream lineup?

I kan ikke se det, men teknikerne løber febrilsk rundt med sved på panden her på Hjørnet. Der bliver tegnet og testet og hamret og banket og bygget i næsten alle afdelinger, for vi er midt i en ret spændende proces. En proces der både peger langt ind i fremtiden, men som også favner hele bagkataloget - helt tilbage til den allerførste episode fra Filmnørdens Hjørne. Alt det kan Casper snakker jeres ører af om på et andet tidspunkt, for nu er det Spielberg Day! 'Disclosure Day' har ramt de danske biografer og det (lad os være ærlige) ældre filmelskende publikum har endelig fået mulighed for at se Spielbergs længeventede sci-fi-film. Det har vi også, og der er masser at snakke om. Men det er der naturligvis om alt det vi har med denne gang. Foruden Spielbergs rumvæsen-thriller, har vi faktisk ret høj kvalitet med denne gang. 'Backrooms' er naturligvis med fordi "Hollywood har opdaget YouTube"-historien ikke vil dø, og vi også vil være med på den. Til gengæld har vi en YouTube-fænomen-film med, som du med 99% garanti IKKE har hørt om, og det er synd, for den er uden sammenligning en af de fedeste filmoplevelser vi har haft i år - 'Nirvanna the Band the Show the Movie'. Du får sikkert for høje forventninger, når du hører os snakke om den, men den fortjener eddermame noget kærlighed og opmærksomhed. Hør mere i episoden. Og så får Jannik (og også lidt Casper) omsider lov til at øse ud af deres kærlighed til serien 'Widow's Bay', der med sin nærmest kirurgisk perfekte blanding af gys og grin ligger solidt i front til prisen for 'Årets Bedste Serie Set af en Hjørne-vært'. Dejligt at lave en Cinemajour og at det føles helt normalt. Hvis alt klikker, så går der ikke længe inden vi er tilbage, for lige om lidt rammer den anden unødvendige opfølger til 'Toy Story'-trilogien og så skal vi på eventyr med 'Supergirl'. Høres ved snart og indtil da: Rigtig god fornøjelse! Med venlig hilsen, Casper & Jannik

On this week's episode of "Sights + Sounds Picks," Golden Gate Park Band's music director and conductor German Gonzalez talks about three of the Golden Gate Park Band's summer concerts.

On today's show, a feminist version of Dracula is giving audiences thrills and thoughts at the San Francisco Playhouse. Then, we're jamming and jitterbugging with the Golden Gate Park Band's conductor. And a beloved Black arts center in San Francisco is gearing up for a temporary closure, and fun events for Juneteenth weekend.

On this episode of The Joyride, the Foundation Series continues as the guys explore what it means to build a relationship with God as our Heavenly Father. Through personal stories, heartfelt reflections, and a few laughs along the way, the conversation centers on how God meets us in our deepest wounds, restores what is missing, and invites us into a deeper understanding of sonship and identity. Andy shares a powerful testimony about how God stepped into a fatherless place in his life, transforming his view of both earthly and heavenly fatherhood. Join the Band of Brothers as they discuss healing, adoption into God's family, and the foundation that a true relationship with the Father provides for every believer. Be sure to check out our other podcasts, Masculine Journey and Masculine Journey After Hours for more great content!

The Will Baxter Band brings old school soul and R&B music to Driggs Downtown Sounds concert Friday from 6 to 8 p.m.

This week on the podcast, we're joined by Charlie Starr, the lead singer, songwriter, and guitarist of Blackberry Smoke. Charlie sits down with us to talk about the band's journey from playing small clubs to becoming one of the most respected names in Southern rock and Americana music. We dive into songwriting, life on the road, the influence of classic Southern music, and what continues to inspire Blackberry Smoke after all these years.From stories behind some of the band's biggest songs to insights into their loyal fanbase and enduring success, this is a conversation music fans won't want to miss.Follow Charlie and Blackberry Smoke:https://www.blackberrysmoke.comPresented by:Deep Eddy Vodkahttps://deepeddyvodka.comDouble B Hat Co.https://doublebhatcompany.comCH Lonestar Promohttps://chlonestarpromo.com

Shannon four-piece soft rock band Sinéad and The Bugs have released their first single, “Call It Happy Hour”. The band features Sinéad Walsh (vocals and guitar), Sam O'Malley (drums), Robert Park (bass), and Igor Zurakowaski (lead guitar). The track explores short-lived relationships and emotional “happy hour” moments, delivered through their signature storytelling style. Photo (c) Clare FM

The Summer Festival at Vandeleur Walled Garden is set to return to Kilrush from June 26th to 28th, promising three days of music, comedy, family entertainment and community celebration in one of Clare's most beautiful settings. This year's line-up features internationally acclaimed singer Brian Kennedy, the legendary Kilfenora Céilí Band, comedian Bernard Casey and a host of local favourites. To tell us more about what's in store, Alan Morrissey was joined by Sharon Malone, Assistant Sales & Marketing Manager with Clare Tourism Development DAC, and festival headliner Brian Kennedy. Image (c) Vandeleur Walled Garden via Facebook

Kleeberg, Michael www.deutschlandfunkkultur.de, Lesart

Kleeberg, Michael www.deutschlandfunkkultur.de, Lesart

Band or DJ? That question is officially outdated.In this episode of The Wedding Songs Podcast, host Matthew Campbell sits down with Daniel Linares of DLE Event Group in New York City (a company that declined to choose). They don't book DJ-only events. They don't book band-only events. They've built their entire business on the hybrid model: a DJ-led mix with live musicians wrapped around it. Whitney sings Whitney with live horns on top.Daniel breaks down the operating question behind his approach: "What would Quincy do?" mapping three-song mixes with written musical parts so live players hit home runs on every transition, while still leaving room to read the room.Inside this episode:Why couples who don't want a singer still want a band (and what to sell them instead)The three-song mapped mix: structured transitions + open-format freedomThe "care factor": why 8–10 planning calls are DLE's biggest differentiatorRoom acoustics. The venue setups that fight you, and how to tune around themScaling an artist-based brand into a company-based brandDaniel's one song guaranteed to fill a dance floor for every generationConnect with Daniel: Instagram @danieltlinares | daniellinares.comThe Wedding Songs Podcast is part of Wedding Hit Record - The Wedding Music Label. More at weddinghitrecords.com.

++++ Hier könnt ihr Mitglied im Klub Reflektor werden, Jans Reflektor-Mitgliederbereich mit vielen Extras ++++ ++++ Hier gibt es Karten für Reflektor Live am 5. Dezember 2026 im Colosseum-Kino in Berlin ++++Es ist wieder so weit: Die Toten Hosen sind Thema bei Reflektor, und das aus gutem Grund: Am 29. Mai ist das letzte Studioalbum der Band erschienen: „Trink aus, wir müssen gehen!“, zusammen mit dem Bonus-Album „Alles muss raus!“. Was lag da näher, als dass sich Jan noch einmal mit Campino trifft, um in einer Doppelfolge über beide Platten zu sprechen. Natürlich wurde dabei auch die Entscheidung der Band erörtert, mit diesem Album ihren Abschied einzuläuten.An Jans Seite ist diesmal Co-Host Kolja, der wie kaum ein anderer für diese Folge prädestiniert ist. Seit seinem vierten Lebensjahr ist er Toten-Hosen-Fan und an vier Songs des neuen Albums war er sogar selbst als Co-Texter beteiligt. So entsteht ein Gespräch, das von besonderer Verbundenheit geprägt ist. Wie so oft bei Reflektor, führt es tief hinein in die auf ewig faszinierende Welt der Musik – und darüber hinaus. Die in dieser Folge angesprochenen Musiktitel findet ihr in der Reflektor-Streaming-Playlist. Hier findet ihr die Tourdaten der Toten Hosen. Hier findet ihr Reflektor bei Instagram. Und hier findet ihr Jan bei Instagram. Schreibt uns gerne unter reflektor@cloudshill.com. Viel Spaß beim Hören! (Fotocredit Episodencover: Donata Wenders)++++++++++++++Ob Pop, Rock, Rap, Punk oder Klassik – Musik ist immer einzigartig. So wie die Künstler:innen, die sie erschaffen. Was macht einen guten Song aus? Wie politisch darf oder sollte Pop sein? Und wie geht man mit plötzlichem Ruhm oder dem unvermeidlichen Absturz um? In Reflektor + Subline sucht Jan Müller, selbst Musiker und seit nahezu 30 Jahren Bassist der Band Tocotronic, authentische Gespräche mit jenen, die es am besten wissen müssen: den Musiker:innen selbst. Ob Olli Schulz, Jan Delay, Feine Sahne Fischfilet, Alli Neumann, Joy Denalane oder Doro – geprägt von gegenseitigem Interesse und Respekt spricht er mit seinen Gästen über ihre Karriere, ihre größten Hits und die schmerzhaftesten Rückschläge. Immer auf Augenhöhe, immer überraschend. Neue Episoden von Reflektor erscheinen wöchentlich, immer freitags – also hört unbedingt rein und abonniert den Podcast, um keine Folge mehr zu verpassen. Hosted on Acast. See acast.com/privacy for more information.

Want to know your English level? Take our free English-level quiz here to find out what your current English level is.  Do you love All Ears English?  Try our other podcasts here: Business English Podcast: Improve your Business English with 3 episodes per week, featuring Lindsay, Michelle, and Aubrey IELTS Energy Podcast: Learn IELTS from a former Examiner and achieve your Band 7 or higher, featuring Lindsay McMahon and Aubrey Carter with Jessica Beck in previous episodes Visit our website here or https://lnk.to/website-sn If you love this podcast, hit the follow button now so that you don't miss five fresh and fun episodes every single week.  Don't forget to leave us a review wherever you listen to the show. Send your English question or episode topic idea to support@allearsenglish.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

On today's Extra, A Thumb trick, Band Camps, & Classical Gas Learn more about your ad choices. Visit podcastchoices.com/adchoices

The Instagram post on this blew up, so we thought we'd revisit. lol

In this episode of Creative Guts, co-hosts Becky Barsi and Joe Acone sit down with Lee & Dr. G, a New Hampshire-based blues/jam band known for their improvisational performances, deep musical chemistry, and roots in blues, rock, and funk traditions. Lee & Dr. G have built a following through energetic live shows that balance tight musicianship with spontaneity, creating performances that feel different every night. In our conversation, we talk about how the band developed its sound, what makes improvisation so central to their creative process, and how they navigate collaboration, performance, and keeping live music thriving in New Hampshire's local scene. Learn more about Lee & Dr. G, their upcoming performances, and where to catch them live across New Hampshire and beyond on their website https://leedrg.co/ and also on Instagram at https://www.instagram.com/lee_dr.g/, Listen to this episode wherever you listen to podcasts or on our website www.CreativeGutsPodcast.com. Connect with us on Instagram, Facebook, LinkedIn, and Discord. Subscribe to our Substack newsletter at creativegutspod.substack.com.  If you love listening, consider making a donation to Creative Guts! Our budget is tiny, so donations of any size make a big difference. Learn more about us and make a tax-deductible donation at www.CreativeGutsPodcast.com.  Thank you to Kennebunk Savings Bank for being an official sponsor of the podcast! Thank you to our friends at Art Up Front Street Studios and Gallery in Exeter, NH and the Rochester Museum of Fine Arts in Rochester, NH for their support of the show!  Any views or opinions expressed by our hosts or guests do not necessarily reflect the views or positions of Creative Guts.

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.

Leaders Who Create Belonging- Join Jason Squires as he sits down with legendary vocalist, creative leader, and Disney Vocal Coach Vangie Gunn-Goodwin for a conversation about creating belonging in creative spaces. From decades of work behind the scenes in film, television, and music, to now leading Gordon Goodwin's Big Phat Band after his passing, Vangie shares what it means to help people feel seen, valued, and connected beyond their talent. Vangie also shares about launching her new podcast community, Big Phat Pod, and the heart behind creating spaces where people can genuinely connect. This conversation is thoughtful, honest, encouraging and full of wisdom for anyone building culture, leading creatives, or navigating transition. Make sure to find her new podcast, Big Phat Pod, now streaming on all major platforms.

Hell is officially for sale... and somehow that's not even the weirdest thing we talked about today.The gang dives headfirst into the surprisingly affordable listing for Hell, Michigan, where for less than the cost of some St. Louis starter homes, you can own an ice cream shop, a chapel, a mini tourist attraction, and the title of Devil-in-Charge. Naturally, everyone immediately starts spending money they don't have and debating how they'd transform the town into the ultimate roadside attraction.Then things take a hard left turn when former NFL superstar Ricky Williams enters the conversation. After walking away from football at the height of his career, he's now a professional astrologer helping people navigate life through birth charts and cosmic scouting reports. Rafe is fascinated. Lern is fully on board. Rizz remains approximately 97% skeptical. Somehow this leads to discussions about crystals, sweat lodges, life coaching, and whether astrology is just football strategy for people who own moon-shaped candles.Meanwhile, AI continues its quest to make everyone uncomfortable. A new study says musicians are using artificial intelligence more than ever, sparking debates about creativity, ownership, songwriting, and whether your next favorite hit was written by a computer that learned emotions from Reddit comments. Moon weighs in from the musician perspective while the crew wonders how much AI is already hiding behind the curtain.Elsewhere in today's chaos:• Sharon and Jack Osbourne explain their plans for an AI-powered Ozzy legacy project.• Bon Jovi wants fans to sing "Livin' on a Prayer" and possibly appear in a future show.• New music from Billy Idol and Anthrax gets the crew talking.• Bowen Yang reveals why he almost left SNL.• Romy and Michelle are making a comeback because apparently nostalgia is undefeated.• Celebrities who believe in aliens somehow become a full-blown conversation.• And yes, there are hot takes on Dippin' Dots, because no topic is too important or too ridiculous for this show.It's another beautifully unhinged installment of your favorite daily comedy show, packed with weird news, pop culture commentary, celebrity stories, conspiracy-adjacent nonsense, and the kind of conversations that somehow make perfect sense before 10 a.m.Whether you're here for funny stories, celebrity gossip, UFO believers, or the possibility of becoming the new ruler of Hell, Michigan, this daily comedy show delivers exactly the kind of chaos you've come to expect.Grab your ice cream of the future, consult your horoscope, and join another daily comedy show with Rizz and the gang.Follow The Rizzuto Show → https://linktr.ee/rizzshow for more from your favorite daily comedy show.Connect with The Rizzuto Show Comedy Podcast online → https://1057thepoint.com/RizzShow.Hear The Rizz Show daily on the radio at 105.7 The Point | Hubbard Radio in St. Louis, MO.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Want to know your English level? Take our free English-level quiz here to find out what your current English level is.  Do you love All Ears English?  Try our other podcasts here: Business English Podcast: Improve your Business English with 3 episodes per week, featuring Lindsay, Michelle, and Aubrey IELTS Energy Podcast: Learn IELTS from a former Examiner and achieve your Band 7 or higher, featuring Lindsay McMahon and Aubrey Carter with Jessica Beck in previous episodes Visit our website here or https://lnk.to/website-sn If you love this podcast, hit the follow button now so that you don't miss five fresh and fun episodes every single week.  Don't forget to leave us a review wherever you listen to the show. Send your English question or episode topic idea to support@allearsenglish.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

The upper 6 gigahertz band is fracturing among national lines after a verdict from regulatory bodies in the UK and the EU. While the US enjoys full Wi-Fi access along the entire 1200 megahertz, the EU has decided to reserve most of the upper band for mobile services, and the UK is testing a split... Read more »

We caught up with Creighton Barrett of indie rock band Band of Horses while they were touring through Pittsburgh in support of the 20th anniversary of their debut album, Everything All the Time. Shop for drum parts, accessories, sticks, heads, and more at www.drumfactorydirect.com.

We had a blast on the golf course yesterday, then we chat about the kids walking on my lawn.

SlapperCast Episode 381: "Pride of Deer Month" In this episode, Paddy and Chad recap a busy week of Blaggards shows, including T-Bone Tom's in Kemah, HSF Biergarten in Brenham, and the latest “Blagfeather” show at The Big Top. We talk about the joyful weirdness of playing with different drummers while Turbo prepares for knee replacement surgery, including the return of longtime Blaggard drummer Mike McAloon, Keith York's thunderous and emotional return to the Brenham stage, Justice Swantner of Lonefeather, and our upcoming shows with another former Blaggard, James “Jimbo” Edwards. There's also some big-picture talk about the future of live music, finding new places and new ways to play, the return of our Pirate Festival at HSF, upcoming Ireland dates, and a newly-announced Blaggards/Lonefeather show at Rehab Bar on the Bayou on July 18. Also: Chad's birthday, Patrick's childhood European vacations, deer whistles, Thin Lizzy, Steve Earle, the sacred weirdness of Wednesday night gigs, and our heartfelt plea to PUT YOUR PHONE DOWN and actually experience the show while it's happening. Come see a show! We promise not to stare at our phones... if you don't. ;) At the end of the episode, enjoy the FULL performance of Paddy singing Thin Lizzy's "Killer on the Loose" with Lonefeather last Wednesday at the Big Top! Show dates Blaggards.com Facebook Bandsintown Follow us on social media YouTube Facebook Twitter Instagram Become a Patron Join Blaggards on Patreon for bonus podcast content, live tracks, rough mixes, and other exclusives. Rate us Rate and review SlapperCast on iTunes Questions? If you have questions for a future Q&A episode, leave a comment on Patreon, or tweet them to us with the hashtag #slappercast.

We're headed back to a very early “car” movie to talk about John Ford's stagecoach with the help of Tobin Addington! After Joey bullies Joe into voting for the 2 Fast 2 Forever Hall of Fame (and you can, too!), we discuss the historical context of Stagecoach: it's the movie that legitimized the Western genre and inspired filmmakers for decades to come, and also the movie that turned both John Wayne and John Ford into stars. Joe shares his ties to Geronimo. We talk about the closest scenes and vehicles we've gotten to a stagecoach in the franchise, discuss a Sorcerer-esque stunt (and how that opened up a whole new path of stunts in this movie, thanks to Yakima Canutt), and the origins of the term “riding shotgun.” We try to contextualize both the racism in the film and the atrocity of the Running W stunt. Tobin shares more insight into the ways in which this inspired Fast and Furious. Joey talks about the ties between this movie and Nirvanna the Band the Show the Movie. Email us: ⁠⁠⁠⁠family@cageclub.me⁠⁠⁠⁠⁠⁠⁠⁠Visit our Patreon page at patreon.com/2fast2forever⁠⁠⁠⁠. ⁠⁠⁠⁠Show your support at the 2 Fast 2 Forever shop⁠⁠⁠⁠!Extra special shout-out to Alex Elonen, Brian Rodriguez (High School Slumber Party), Jason Rainey, Wes Hampton, Josh Buckley (Whole Lotta Wolves), Michael Moser, Terra New One, Aaron Woloszyn, and Randy Carter for joining at the “Interpol's Most Wanted” level or above!Intro music by Nico Vasilo. Interlude and outro music by Wes Hampton.

On episode 100 of the show, I'm joined by South African multi instrumentalist/producer and 'Just Jinjer' bassist - Denholm Harding.Denholm began his musical career in Cape Town at the age of 5, when he appeared on a nationally televised talent show open to all ages called ‘Follow That Star' where he made it through to the finals. By Grade 7, he joined popular kids program K-TV as the ‘K-TV Kids' Band drummer and moved up to Johannesburg to pursue his musical career. The band toured Southern Africa extensively for 3 years and appeared numerous times on multiple television shows.Barely out of his teens he then joined South African Multi-Platinum super group Just Jinjer shortly after the release of their critically acclaimed debut album.Just Jinjer are considered one of the most successful Rock bands to ever come out of South Africa and have shared stages with artists like U2, Counting Crows, Stevie Wonder, Maroon 5, Goo Goo Dolls, Def Leppard, Spice Girls and Live… just to mention a few.In taking the next step Denholm coupled his deep understanding of music and instruments with his spectacular ear and began producing albums for other artists and bands like Jesse Clegg and Prime Circle,. He has since been nominated multiple times for “Best Producer” and “Best Engineer” at the South Africa's music awards the SAMA's numerous times.For more information on Denholm or his work, please search for him across all socials or visit https://ardmatthews.com/just-jinjerFor further information on Travis Marc or 'Musicians-Mentor' website, please visit www.musicians-mentor.com As usual, thanks for checking out the channel and if you're getting anything useful from my content, please feel free to comment, like, share and subscribe, thank you. Additionally, for those interested - you can support this channel by - 'Buying Us Coffee'. https://buymeacoffee.com/musiciansmentor Or visiting our affiliate page with the lovely folks over at - 'Soundbrenner'. https://www.soundbrenner.com where you can use code TRAVISMARC-DEAL for 20% off of their products.

Brandon, James, and Hanna discuss the directorial career of alt-comedy prankster Matt Johnson, starting with his recent time-traveling sitcom sequel Nirvanna the Band the Show the Movie (2026) https://swampflix.com/ 00:00 Welcome 02:22 A Chinese Torture Chamber Story (1994) 12:12 Auntie Lee's Meat Pies (1992) 18:51 Caroline Leaf & Suzan Pitt 28:55 Nirvanna the Band the Show the Movie (2026) 55:00 The Dirties (2013) 1:13:36 Operation Avalanche (2016) 1:26:00 BlackBerry (2023)

Want to know your English level? Take our free English-level quiz here to find out what your current English level is.  Do you love All Ears English?  Try our other podcasts here: Business English Podcast: Improve your Business English with 3 episodes per week, featuring Lindsay, Michelle, and Aubrey IELTS Energy Podcast: Learn IELTS from a former Examiner and achieve your Band 7 or higher, featuring Lindsay McMahon and Aubrey Carter with Jessica Beck in previous episodes Visit our website here or https://lnk.to/website-sn If you love this podcast, hit the follow button now so that you don't miss five fresh and fun episodes every single week.  Don't forget to leave us a review wherever you listen to the show. Send your English question or episode topic idea to support@allearsenglish.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

Want to know your English level? Take our free English-level quiz here to find out what your current English level is.  Do you love All Ears English?  Try our other podcasts here: Business English Podcast: Improve your Business English with 3 episodes per week, featuring Lindsay, Michelle, and Aubrey IELTS Energy Podcast: Learn IELTS from a former Examiner and achieve your Band 7 or higher, featuring Lindsay McMahon and Aubrey Carter with Jessica Beck in previous episodes Visit our website here or https://lnk.to/website-sn If you love this podcast, hit the follow button now so that you don't miss five fresh and fun episodes every single week.  Don't forget to leave us a review wherever you listen to the show. Send your English question or episode topic idea to support@allearsenglish.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

CLD gave us an EPPP of four cover tunes in 2017, three of which had been performed live on the previous tour. We sample the originals, discuss some of the circumstances of the bands being covered, and compare to the CLD effort. Overall, it's a rewarding piece that might expand your musical pallette. If you're already familiar with Flower Travellin' Band, more power to you!Get involvedInstagramFacebookEmailBurn your money