WolfTalk: Podcast About Audio Programming (People, Careers, Learning)

In this podcast episode, I was lucky to interview Christoph Guttandin: a web audio developer from Berlin, Germany. Chris is a self-taught programmer with a formal training as an audio-visual technician. He’s a freelancer who deals with playing back sound in the browser, sometimes on multiple computers simultaneously. He’s a member of the W3C Audio Community Group where he gives feedback regarding the new standards. He’s especially careful about the compliance of browsers to standard updates. He regularly answers questions regarding web audio on StackOverflow. He was a speaker at the Audio Developer Conference 2022. In the podcast, we not only discuss his background and his story of how he became a web audio developer but we also uncover how you can become one. I specifically ask him about the best resources on web audio programming and which languages, tools & frameworks to use. Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. It will benefit both sides: more reviews mean a broader reach on Apple Podcasts and feedback can help me to improve the show and provide better quality content to you. Thank you for doing this 🙏 Episode Contents In this podcast episode, you will learn:

In this podcast episode, I was lucky to interview Jay Pocknell; a production and mixing engineer from the UK. Not only is he a skilled sound engineer and a lovely person to talk to but also a proactive member of the audio community. He founded the Sound Without Sight organization and currently works at the Royal National Institute of Blind People (RNIB) advocating for music software, music hardware, and music instruments accessible to everyone: including musicians and sound engineers with disabilities. Basing on his lived experience with sight loss, he gives invaluable advice on how any audio programmer can make their software accessible. This is a gold mine of first-hand information! In the podcast episode, we discuss his path to becoming a sound engineer, which obstacles he needed to overcome, and how we as the audio community can remove some of these obstacles permanently. Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. It will benefit both sides: more reviews mean a broader reach on Apple Podcasts and feedback can help me to improve the show and provide better quality content to you. Thank you for doing this 🙏 Episode Contents In this podcast episode, you will learn: This podcast was recorded on April 5, 2023.

In this podcast episode, you will learn:

In this episode, I was honored to interview Andrew Fyfe; a musician, a software engineer, and a researcher in the field of deep learning applied to audio. In particular, Andrew is working on an exciting new technology, Neutone. Neutone allows quick deployment of trained neural networks to audio plugins and running them in the digital audio workstation for verification, testing, up to full-blown product releases for users. At the same time, Andrew is wrapping up his PhD while working full time from Japan. He was kind enough to share his story and his journey to becoming an audio researcher. Don’t forget to submit your plugins for the Neural Audio Plugin Competition until March the 17th of 2023! Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. It will benefit both sides: more reviews mean a broader reach on Apple Podcasts and feedback can help me to improve the show and provide better quality content to you. Thank you for doing this 🙏 Episode Contents In this podcast episode, you will learn: Episode notes: https://thewolfsound.com/talk011/

In this episode, I was lucky to interview two members of GPU Audio: Jonathan Rowden and Alexander “Sasha” Talashov. GPU Audio is a software company that promises to deliver real-time audio processing capabilities to GPUs in the form of an easily usable Software Development Kit (SDK). It’s their goal to allow audio programmers to utilize the power of all GPU cores for faster and more performant audio processing. If you are interested in why it is not easy to process audio on the GPU and how it can be done, then this episode is for you! Don’t forget to submit your impulse response for their IR Competition until February 23, 2023! Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. It will benefit both sides: more reviews mean a broader reach on Apple Podcasts and feedback can help me to improve the show and provide better quality content to you. Thank you for doing this 🙏 Episode Contents In this podcast episode, you will learn:

In this episode, I was incredibly excited to interview Stefano D’Angelo: a freelancer in the field of audio programming. Episode notes: https://thewolfsound.com/talk009 Stefano comes from Italy and is well known in the field. He’s completed his PhD thesis at the Acoustics Lab of the Aalto University, then worked for Arturia for some time, and then decided to start his own freelance gig, which eventually led to him grounding the Orastron company. During this time, he’s been incredibly active in the programming field as well as in the research field. Many WolfTalk listeners ask “how to become an audio programming freelancer?” Well, in this podcast episode, you will learn a way of how this could be done 😉 Episode Contents In this podcast episode, you will learn:

In this episode, I was fortunate to interview Prashant Mishra, an Audio Director who is now building audio products and creating awareness about audio tech and game audio. Prashant is an audiophile who has worked as an Audio Director for educational games and videos in collaboration with Disney to create IP-specific sonic experiences, during which he created voice based apps. He helped in setting up and scaling the sound department at an India-based ed-tech since 2015 for their entire catalogue of projects. He is now building audio products with companies such as Soundly, and hosts games, spatial & interactive audio training sessions. Episode Contents In this podcast episode, you will learn:

In this episode, I was fortunate to interview Dr Tom McKenzie, a researcher in the field of spatial audio and acoustics and a musician, who is currently working at the University of Edinburgh as a lecturer in Acoustics and Architectural Acoustics. At the time of the interview (November 2021), Tom was a postdoctoral researcher at the Aalto Acoustics Lab at the Aalto University in Finland. He was the last member of the lab interviewed by me. Previous interviews included: Leonardo FierroJon FagerströmAlec WrightPlease, if you are enjoying the podcast, leave it a review on Apple Podcasts. And if you’re looking for a simple checklist on what is needed to start writing code to process sound, download my free audio plugin developer checklist! Many thanks to Aalto Acoustics Lab for letting us record this interview in their office. Episode Contents In this podcast episode, you will learn:

In this podcast episode, I had the privilege to interview Moritz Schaller: a professional musician who turned programmer and successfully transitioned into a software engineering position. Moritz is a colleague of mine from Loudly GmbH. Not only is he a skilled and smart programmer but also a great person who is extremely likeable. I am sure that if you are considering a change in your career paths, Moritz’s story and tips will provide you with inspiration and guidance on how to do this.

In this podcast episode, I was happy to interview Steve Barile from Conductive Labs. Steve was a 9-5 employee of Intel, until he and his best friend Darryl, started experimenting with building their own audio hardware. First prototypes led to concrete product ideas, which led to a crowdfunding campaign, which led to founding a successful business... but let's listen to him tell the story! In this podcast episode, you will learn: Special thanks from Steve to the Conductive Labs crew: Jesse, Cantrell, Paul, Nick, Ben, Chuck, Blake, Shashi, Kelly & SOs: Joyce and Lisa Episode notes: https://thewolfsound.com/talk005

In this podcast episode, I was lucky to interview another member of the Aalto Acoustics Lab of the Aalto University in Espoo, Finland. He is involved in research applying deep learning to audio, for example, in the context of Virtual Analog modeling of guitar amplifiers. He was also the advisor of my Master Thesis. In this podcast episode, you will learn ✅ how to transition from mechanical engineering to audio processing, ✅ how to apply deep learning to music processing, for example, virtual analog modeling, ✅ challenges of deep learning in audio, ✅ how to use neural networks in real-time audio, ✅ what makes a good audio dataset, ✅ how to fuse traditional DSP and deep learning, ✅ typical neural network architectures in audio, ✅ generative models in audio, ✅ how transition from the Master's to the PhD mindset, ✅ challenges of remote research collaboration during pandemic, ✅ transition from Scotland to Finland. You can find all referenced resources at https://www.thewolfsound.com/talk004/ 📝 Note: if you like the podcast so far, please, go to iTunes and leave me a review there. It will benefit both sides: more reviews means more outreach on iTunes and feedback can help me to improve the show and provide better quality content to you. Thank you for doing this 🙏 All podcast episodes: https://www.thewolfsound.com/podcast/ Buy a coffee if you want to support this podcast: https://www.buymeacoffee.com/janwilczek Sign up for the WolfSound newsletter to master audio programming: https://thewolfsound.com/newsletter/

In this podcast episode, I was lucky to interview another member of the Aalto Acoustics Lab of the Aalto University in Espoo, Finland. Jon Fagerström is conducting his PhD research in the domain of audio signal processing, specifically, sampling synthesis and artificial reverberation. We are discussing what challenges beginning researchers face, how to find your niche in audio research, and what interesting ways there are to end up as an audio researcher. Episode notes: thewolfsound.com/talk003.

In this episode, I had the privilege to interview Leonard Fierro, a PhD student at the Aalto Acoustics Lab of the Aalto University in Espoo, Finland. Leonardo comes from Italy and transitioned from Communications to Audio Signal Processing. He's currently (as of 2021) in his third year of the doctoral studies. His focus is on time-scale modification (as in YouTube's 1.5x or 2x speed buttons) and transients. In this episode, we are discussing his background and also what is needed to carry out research in the domain of sound processing. Want to learn more about audio? Sign up for WolfSound's newsletter: https://www.thewolfsound.com/newsletter/

WolfSound is all about making it easy for you to learn audio programming. We remove the requirements to read thick books, pay for expensive courses, and attend universities for years. This podcast episode is meant to give you an example way to learn audio programming: my way. I want to share my story with you so that you can relate and believe that you can do it too! In this podcast episode, you will learn > how mathematics and music led me to study the field of acoustics, > how I learned programming from scratch, > how I handled two study programmes and a part-time software engineering job, > how I learned audio programming basics within and outside of the university, > which books I read to learn programming and sound synthesis, > why I decided to pursue a research-focused master's degree in signal processing, > why I created WolfSound, > where I am going next 🧐.