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

Jan Wilczek

Welcome to WolfTalk, a podcast ever about audio programming. My name is Jan Wilczek. I am an audio programmer and a researcher. In this podcast you will learn how to build your career in programming or research related to audio, meet programmers and researchers from all around the world, and learn about the intricacies of sound.

All resources referenced in the podcast are at www.thewolfsound.com/talkXXX, where XXX is the episode number.

Don't forget to subscribe to my newsletter: https://www.thewolfsound.com/newsletter/

I sincerely hope you'll find the information here useful for your own development!

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How do you become a C++ Standards Committee member?

Why is C++ prevalent in audio?

Should you still use it for audio software?

Honestly, Timur Doumler is someone I have looked up to ever since I saw his “C++ in the audio industry” talk at CppCon 2015.

He has a rich development history with C++ and/or audio:

  • developer at Native Instruments
  • developer of the JUCE C++ framework (podcast sponsor ❤️)
  • C++ linter developer and developer advocate at JetBrains (who make the CLion IDE)
  • founder of Cradle, an audio plugin startup
  • C++ Standards Committee member
  • CppCast podcast host
  • notorious Audio Developer Conference and CppCon speaker

I have probably missed a ton of stuff here, but that should already give you a flavor of what Timur is up to 😉

I especially enjoy his technical talks on synchronization with the (real-time) audio thread; For example, at the Audio Developer Conference 2025, he made me finally understand memory ordering in C++ (or so I believe 😅)

In the podcast interview, we discuss his story, tactics, and tips, which I hope will inspire you to follow his footsteps (as they sure did me).

It also turns out we are both fond of the same music band… Listen to the interview to find out which one 😁

All in all, this one of my favorite podcast episodes (audio & C++, what more do you need?), so don’t miss it!

Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. You can do so on Spotify as well. 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. You can also subscribe and give a like on YouTube. Thank you for doing this 🙏

Episode ContentsFrom this episode, you will learn:

  • How Timur’s early interests and experiences led him toward audio programming
  • His early engineering work at Native Instruments, including contributions to Kontakt and NI’s internal C++ libraries
  • How he joined ROLI and worked on the development of JUCE
  • The story behind founding Cradle
  • How he became involved in the ISO C++ Standards Committee including his audio-related contributions
  • What he’s most excited for in the upcoming C++26 standard
  • How he approaches software development and maintaining a healthy work-life balance (that was a great one to learn for me personally, too)

This episode was recorded on September 26, 2025.

TIMESTAMPS

00:00:00 Podcast Intro

00:00:37 Timur Doumler

00:01:55 Timur's Introduction and Background

00:02:46 Early Interest in Music

00:03:35 Linking Music to Software Development

00:04:42 Studying Physics & Astrophysics (Berlin, Lyon, Potsdam)

00:06:08 Learning C & Fortran through Cosmology Simulations

00:07:46 Deciding to Become a Developer

00:10:48 Getting Hired at Native Instruments

00:12:16 Working on NI’s Internal C++ Libraries & Kontakt

00:18:05 Sponsor: JUCE

00:19:37 Moving to ROLI and Working on JUCE

00:22:08 Lessons Learned from Jules & Fabian

00:24:27 Joining JetBrains

00:30:13 Becoming a Developer Advocate

00:34:40 Founding Cradle & Building the First Products

00:37:17 Life as CTO & Startup Reflections

00:39:09 Bloomberg & C++ Contracts

00:41:29 The 2015 Talk: C++ in the Audio Industry

00:46:58 Representing the Audio Industry

00:48:18 Joining the ISO C++ Committee

00:50:19 Timur's Work in the C++ Committee

00:55:24 How the C++ Committee Works

01:02:20 How to Learn C++ Today

01:06:48 Real-Time Audio Programming & Tools

01:08:02 Personal Productivity: Meditation, Exercise, Time Management

01:13:46 Tech Stack and Developer Tools

01:14:13 Music Timur Codes To (Meshuggah, Animals as Leaders)

01:17:15 How to Contact Timur

01:18:59 Outro

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Kurt James Werner, PhD, is a senior research scientist at Soundtoys and one of my favorite researchers in audio DSP (virtual analog modeling in particular).

While you may not have read his papers, it’s very likely that you used one of the plugins he worked on:

  • Neoverb
  • Vinyl
  • RX
  • Guitar Rig (Hammond vibrato/chorus)
  • Ozone
  • Neutron
  • Trash

If you start peeking into the research of modeling analog audio effects in plugins, you stumble across his name right away.

I consider him not only brilliant, but also insanely productive. Definitely a role model for me!

In the research world, he’s mostly known for his work on Wave Digital Filters (WDFs). It’s a technique for creating a mathematical model of an analog circuit that once done is easy to implement (provided you use a WDF library).

WDFs are great for modeling analog audio effects to put them inside plugins.

But as a true researcher, Kurt is involved many other audio subfields that we discuss in the podcast!

Did I mention that he’s a graduate from Stanford’s CCRMA?

In this episode, you’ll learn about Kurt’s transition from academia to industry, his work on products at iZotope, Native Instruments, and Soundtoys, and the realities of being a research scientist in an audio plugin company.

You’ll also learn all about WDFs, which is a powerful tool to master.

Trust me, you don’t want to miss this one 😉

Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. You can do so on Spotify as well. 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. You can also subscribe and give a like on YouTube. Thank you for doing this 🙏

Episode Contents From this episode, you will learn:

  1. How Kurt’s early musical and DIY electronics experiments led him toward audio DSP
  2. How was it like to study at CCRMA under Julius Smith, Jonathan Abel, and Ge Wang
  3. A clear, high-level explanation of Wave Digital Filters, their origins, and why they matter in virtual analog modeling
  4. Insights from his work at iZotope
  5. His current work at Soundtoys
  6. Creative music practices like circuit bending and 1-bit music
  7. Whether you need a PhD to work at an audio plugin company
  8. How audio research translates into plugins

TIMESTAMPS

00:00:00 Podcast Intro

00:00:37 Introducing Kurt Werner

00:04:11 Kurt's Intro and Background

00:07:20 Studying Engineering & Music at UIUC

00:10:06 PhD Studies at CCRMA (Stanford)

00:13:57 Structure of the PhD Program

00:18:23 Sponsor: JUCE

00:20:09 PhD Thesis: Wave Digital Filters

00:21:26 The Culture at CCRMA

00:31:44 Postdoc at SARC (Queen's University Belfast)

00:35:59 How Teaching Influences Research

00:44:19 Transition to Industry: iZotope

00:49:54 The Research Team at iZotope

00:52:54 Work on Neoverb, Vinyl, and Trash

00:58:43 Publishing Reserach Papers

01:01:35 Moving to Soundtoys

01:05:12 Role and Soundtoys

01:09:17 Soundtoys SuperPlate

01:11:04 What are Wave Digital Filters (WDFs)?

01:19:28 WDFs Before Kurt's Research

01:20:54 Handling Complex Topologies

01:26:56 Can Circuit Modeling be Automated?

01:33:37 Importance of "Warming Up" the Simulation

01:35:16 Strengths of Wave Digital Filters

01:41:52 Best & Worst Circuits for WDF Modeling

01:44:47 How to Approach Modeling a New Circuit

01:46:47 Modeling the Motown EQ (Altec 9062A)

01:52:28 Circuit Bending & Hardware Hacking

01:56:58 1-Bit Music & Velvet Noise

02:05:35 Deep Learning in Virtual Analog

02:07:29 Do You Need a PhD for Audio Research?

02:10:46 PhD for Software Engineering Roles?

02:12:12 How to Learn Virtual Analog Modeling

02:16:04 Productivity & Writing Research Papers

02:20:04 Tools & Tech Stack

02:21:29 Listening to Music While Working

02:23:16 Outro

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Victor Zappi is a creator, researcher, and educator at the intersection of music, technology, and interaction design. He is currently an Assistant Professor of Music Technology at Northeastern University. In his career, among others, he worked on the Bela hardware platform during his time at Queen Mary University of London’s prestigious Centre for Digital Music (C4DM).

In this episode, apart from Victor’s inspiring career, we focus on digital musical instruments:

  • What is a “good” digital musical instrument like?
  • Is it a fixed “box” that you should learn how to play?
  • Or should it be “abused” by opening “the box,” and messing with its internals?
  • Can an artist change the digital instrument to make it their own?

We conclude with a discussion of Victor’s LDSP C++ framework, which enables low-level audio device control on Android devices.

This episode is a must-listen for anyone interested in the future of musical interfaces, hackable hardware, and the technology that drives them!

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Ilias Bergström is a software engineer, researcher, and musician from Sweden. For most of his professional career, spanning over 20 years, he has been working on, as he describes it, “time-based media software.”

In the audio programming world, this means digital audio workstations, video editors, and live audio-visual performance software.

He generously shared his experience in Audio Developer Conference talks, two of which discuss the much underrepresented topic of the software architecture of digital audio workstations.

Software architecture and software design are fascinating topics to me, so I naturally devoured both of these talks 😉

In this interview, we explore not only Ilias’s journey but also go into the details of what makes audio software design hard. He discusses how he connects the dots between different types of media software through his long-running personal project, TWO, which is best described as a Media Control Workstation. It enables the simultaneous interactive combination of digital media control signals (such as OSC and MIDI) from multiple sources.

Finally, we don’t shy away from discussing our favorite books on audio software development! Given that Ilias shares a ton of valuable tips and resources, you don’t want to miss this one!

Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. You can do so on Spotify as well. 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. You can also subscribe and give a like on YouTube. Thank you for doing this 🙏

Episode Contents From this episode, you will learn:

  • How Ilias’s interest in media creation software led to a career in audio, across both research and industry.
  • How he combines music and audio with interaction design, Human Computer Interaction, and even topics such as neuroscience and psychology, and how audio development can be seen as a form of creative coding.
  • How different media creation software tools (like DAWs) share the same core characteristics and core architecture.
  • Insights into his personal software project, TWO.
  • What does a PhD give you? What can a university education offer?
  • The importance of software architecture, testing, and documentation.
  • A lot of audio development book recommendations.
  • Practical advice on how to get started with audio development and audio software architecture.

This episode was recorded on January 15, 2025.

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Geraint Luff is a seasoned audio DSP developer and the founder of Signalsmith Audio. Geraint’s presentations, such as “Let’s Write a Reverb” and “Four Ways to Write a Pitch Shifter,” are among the most popular talks at the Audio Developer Conference (ADC) thanks to Geraint’s clarity of explanation and easy-to-understand visuals (not to mention the accompanying open-source repos).

In the interview, Geraint shares his insights on his career path, freelancing in the audio industry, and digital signal processing (DSP). He discusses how he gained traction as a freelancer by joining a community, delivering audio-focused technical talks, and sharing open-source repos. We can also learn his approach to learning DSP, problem-solving, and the significance of visualization in explanations.

Theory first of practice first? Listen to the podcast episode to find out! 😉

Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. You can do so on Spotify as well. 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. You can also subscribe and give a like on YouTube. Thank you for doing this 🙏

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Orchisama Das is an outstanding audio researcher known for her work in virtual acoustics, artificial reverberation, and immersive audio. She holds a PhD from Stanford University’s prestigious CCRMA and has contributed to groundbreaking research at leading universities and major tech companies.

During this interview, we talk about her path in academia and industry. Orchisama shares her thoughts about the realities of audio research, offering great insights and a very frank and honest perspective on her journey.

We dive into technical topics such as artificial reverberation, virtual acoustics, immersive audio, and open problems in DSP, as well as topics like the gender imbalance in the audio research industry and how to stay productive and motivated during research.

The episode is scattered with many resources and tips for anyone interested in learning the mentioned topics. It is a very inspiring and informative talk for people who are doing audio research, or curious about getting started.

Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. You can do so on Spotify as well. 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. You can also subscribe and give a like on YouTube. Thank you for doing this 🙏

Episode contentsFrom this podcast, you will learn:

  • How Orchisama Das started her journey in audio research and her path to earning a PhD at Stanford University’s CCRMA.
  • About her internships at Tesla and Meta Reality Labs, as well as tips and advice on how to get internships as a researcher.
  • A big picture technical overview of artificial reverberation, virtual room acoustics, and immersive audio.
  • Resources for learning about these topics, including books, papers, and tools.
  • Tips and advice for a good research carrer.
  • Her thoughts on the gender imbalance in audio research and ways to address it.

This episode was recorded on November 21, 2024.

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Julian’s career is incredible: from natural sciences through a master’s in physical modeling, a PhD in virtual analog modeling, an almost decade-long position at Native Instruments, all the way to TikTok and Stability AI, where he’s working now on generative music algorithms.

There are few people who have such a rich background in audio research and industry and even fewer who are willing to share the details of it publicly. That makes this episode all the more exciting!

Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. You can do so on Spotify as well. 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. You can also subscribe and give a like on YouTube. Thank you for doing this 🙏

Episode contents From this podcast, you will learn:

  • how machine learning forever changed audio plugin design and development
  • how big audio plugin companies operate internally
  • how to learn C++ for audio programming
  • whether you need to have a PhD to work in an R&D department of an audio company
  • what is the state of the art in generative music
  • how to learn generating music with AI
  • how to be able to focus on research papers even if you read them after hours
  • how to produce quality research
  • how to rest & recharge after intense and focused work

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Jatin Chowdhury is quite well known in the audio programming community for his numerous contributions:

  • various open- and closed-source audio plugins,
  • a few published research papers on Virtual Analog modeling,
  • a few audio-related talks, especially at the Audio Developer Conference,
  • insightful Medium articles on creating audio software in general,
  • significant open-source contributions including the CLAP plugin standard and Surge Synthesizer.

The list could go on on and on but you get the point: he’s both incredibly productive and highly successful while being very generous to the community with his knowledge.

That’s why it was amazing to have him on the podcast!

Jatin currently leads his own audio plugin company ChowDSP which provides consulting and contracting as well.

During the podcast we discuss his story (which is a kind of “from hero to superhero” tale, if you ask me…), what he learnt along the way, all his current strategies, and most importantly: how you can become someone like a Jatin, a successful audio plugin developer and freelancer.

I was incredibly inspired during the recording of this episode and revisiting it brought up those feelings again.

⚠️ WARNING ⚠️ Listening to this podcast episode will leave you highly motivated to do more audio programming. Listen at your own risk.

Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. You can do so on Spotify as well. 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. You can also subscribe and give a like on YouTube. Thank you for doing this 🙏

Episode contents From this podcast episode, you will learn:

  • how Jatin developed his interest in all things music,
  • how he got accepted to CCRMA at Stanford and then to Tesla,
  • how he started freelancing as an audio programmer,
  • how he finds clients,
  • what’s his developer setup,
  • which tools he’s using,
  • resources he recommends for learning audio programming and DSP,
  • personal daily routine for optimal productivity.

This episode was recorded on June 14, 2024.

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Dave Rowland is the CTO of Audio Squadron: a group of audio-related companies. More specifically, he’s the architect and the lead developer of the Waveform digital audio workstation (DAW) and an Audio Manager of Prism Sound (which focuses on audio hardware manufacturing). He’s also a very successful speaker, having given talks at conferences like Audio Developer Conference or C++ on Sea.

Given the popularity of Dave’s talks and his 11-year long (as of 2024) experience in developing the Waveform DAW and its open source engine, I am incredibly excited to have him on the WolfTalk podcast.

During the interview, we learn not only Dave’s story but we also discuss the challenges of building real-time audio software including DAWs and learning C++, software architecture, and high-performance real-time programming concerning audio. Dave shares a ton of highly useful tips and resources so you don’t want to miss out on this one!

Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. You can do so on Spotify as well. 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. You can also subscribe and give a like on YouTube. Thank you for doing this 🙏

Episode contents From this podcast episode, you will learn:

  • how Dave organizes his day for maximum productivity,
  • which tools he’s leveraging on the day-to-day basis,
  • how he went from being a music technology student to a freelance audio developer to the lead developer on the Tracktion DAW (now Waveform),
  • how he approaches creating his widely acclaimed conference talks,
  • which resources to use to learn high-performance real-time programming.

This podcast was recorded on March 25, 2024.

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Gustav Andersson is a Swedish senior C++ audio developer at Elk Audio. He has worked on their Sensus guitar featuring a rich set of controls, Elk Audio OS for embedded platforms, Sushi digital audio workstation, and Elk Live software for live music collaboration over the internet.

Having studied Electrical Engineering and Digital Signal Processing, Gustav had been looking for a very long time to get into the audio industry. As for many developers, getting his first audio-related job was like a dream come true.

In his free time, Gustav plays and composes his own music.

In the interview, we discuss Gustav’s story, his journey to learn audio programming in C++, and his software projects, including his own plugin. We don’t shy away from software engineering details and architectural challenges of complex software like DAWs.

We mention a ton of resources and tips for learning real-time & scalable audio C++, so stay tuned for these!

Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. You can do so on Spotify as well. 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. You can also subscribe and give a like on YouTube. Thank you for doing this 🙏

Episode contents From this podcast episode, you will learn:

  • How Gustav’s interest in music and electronics led him to study digital signal processing,
  • How he landed his first (and last) job in the audio industry,
  • What he needed to learn from C++ for audio programming and which resources he used,
  • What are the challenges of building digital audio workstations,
  • How to approach building audio software in general,
  • How to learn C++ optimization (fast!),
  • How to relax and disengage from focused work 😎

This podcast was recorded on January 30, 2024.

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In this podcast episode, I was delighted to be able one of the most prominent people of the audio developer landscape: Fabian Renn-Giles.

Fabian is a former lead developer of JUCE, currently working as an independent contractor. He has worked with many great companies (e.g., iZotope, Behringer) and has an incredible portfolio. He is regarded as an expert of real-time, low-latency C++ audio programming.

You may know him from his talks at the Audio Developer Conference or at CppCon.

He’s also an incredibly kind and modest person; anyone that I’ve talked to about Fabian only had praise for his skills and his very down-to-earth attitude.

In the light of all the above, this interview is a real treat for everyone who’d like to become a real-time audio C++ expert!

Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. You can do so on Spotify as well. 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. You can also subscribe and give a like on YouTube. Thank you for doing this 🙏

Episode contents In this podcast episode, you will learn:

  • how Fabian self-taught himself programming at the age of 6 (sic!),
  • how he co-founded Fielding DSP, which serves as his professional outlet for programming services,
  • how he became the lead developer of the JUCE C++ framework and what he learned from it,
  • how to learn real-time audio C++ programming even if you are just starting out,
  • how to become a freelance audio developer like Fabian (what you won’t learn at a university),
  • how to optimize your audio code for maximum performance,
  • the secret story of the “Real-Time 101” talk that Fabian did together with Dave Rowland and which is one of the most widely cited talks in the audio programming space,
  • what are the issues in audio software architecture and how to conceptualize them,
  • what are Fabian’s day-to-day programming tools for optimal productivity.

This episode was recorded on January 26, 2024.

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Eric Tarr is a professor at the Belmont University where he teaches Audio Signal Processing. In the audio programming community, he’s most famous for his book “Hack Audio” on the basics of digital signal processing using Matlab and his point-to-point modeling library for analog audio circuit emulation.

Eric’s work has definitely been an inspiration for starting the WolfSound blog and the YouTube channel so it’s really exciting to have him on the show!

In the podcast, we’ll delve into his story, how he learned audio signal processing, how he managed to work with some amazing audio companies (Sennheiser, Epic Games, Skywalker Sounds), and top tips on how to learn DSP coming from Eric’s teaching experience. We also discuss in detail how to model analog audio circuits for audio plugins (so called virtual analog modeling). Here, Eric describes which state-of-the-art methods are available and how you can learn them. He also shares the details of this point-to-point modeling library which allows you to easily emulate analog audio circuits.

As a special feat, I’d asked my coachees who follow Eric’s work to provide questions to him concerning a variety of different topics, including the impact of AI on the virtual analog modeling space.

All in all, it’s an episode that you don’t want to miss!

Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. You can do so on Spotify as well. 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. You can also subscribe and give a like on YouTube. Thank you for doing this 🙏

Episode contents In this podcast episode, you will learn:

  • how Eric learned digital audio signal processing based on his passion for music and electronics,
  • how he became a professor for Audio Engineering Technology at the Belmont University,
  • how he wrote the famous “Hack Audio” book,
  • why he uses Matlab instead of Python in his teaching,
  • how he was able to deliver numerous audio-related projects to various companies worldwide,
  • how he developed his point-to-point audio circuit modeling library,
  • how you can learn digital signal processing (even if you’re just starting out),
  • what is the go-to language and technology stack for creating commercial audio products,
  • what are the state-of-the-art methods to model analog audio circuits,
  • is it worth going to the Audio Developer Conference?

This episode was recorded on January 19, 2024.

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In this podcast episode, I was lucky to interview Chase Kanipe: a cybersecurity professional, a musician, and an audio programmer (formerly C++ with JUCE, currently Rust). Chase is most widely known through his incredible Audio Developer Conference talks:

  • Tips From a Hacker on License Checking at ADC22
  • Writing Elegant DSP Code with Rust at ADC23 (to be released soon)

Both were really insightful and of incredibly high quality. One could not overlook Chase’s personal culture and the depth with which he explained the concepts. Not to mention that both of his talks made it into my “Top 10 ADC Talks” videos for both ADC22 and ADC23!

Chase is currently pursuing a master’s degree in Machine Learning at the University of Maryland. At the same time, he’s working on his breakthrough audio project in a self-grounded company Procedural Audio.

In the podcast, we discuss his path of being a classically trained musician, a passionate cybersecurity specialist, and then transitioning into audio programming with Rust and into AI. He’s an incredibly inspiring individual and I have learned a lot from interviewing him!

Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. You can do so on Spotify as well. 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. You can also subscribe and give a like on YouTube. Thank you for doing this 🙏

Episode contents In this podcast episode, you will learn:

  • Should an audio programmer learn assembly?
  • What every audio programmer should know about cybersecurity
  • Most common types of vulnerabilities in audio plugins
  • Should you use Rust instead of C++ for audio projects?
  • How to optimize your audio code?
  • Best resources on learning: cybersecurity, digital audio signal processing, Rust, and assembly.
  • Music for optimal programming productivity 💪

This episode was recorded on January 3, 2024.

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In this podcast episode, I was lucky to interview Ruurd Adema: a freelance audio developer from the Netherlands working primarily in JUCE and C++ (but not only).

I met Ruurd at the Audio Developer Conference 2023 and I believe his story is incredibly inspiring; he went from being a live sound engineer doing front-of-house (FOH) mixing at the biggest events in the Netherlands to contracting as a freelance audio developer.

In the interview, he shares his story and a ton of useful resources and tips to help others follow his footsteps.

If you’re looking for inspiration and a clear learning path to become an audio developer this is an episode for you!

Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. You can do so on Spotify as well. 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. You can also subscribe and give a like on YouTube. Thank you for doing this 🙏

Episode contents In this podcast episode, you will learn:

  • how Ruurd become a mixing engineer of one of the largest live shows in the world,
  • the secret to mixing it right 😉
  • how he started learning audio programming on the side (and how you can too),
  • how he successfully launched his freelance audio dev career by taking 5 (sic!) projects at once,
  • top resources to learn audio programming on your own,
  • top tools to use in audio software development,
  • how to find new clients in freelance audio programming, and
  • how to structure your workday for maximum programming productivity. 🚀

This episode was recorded on December 13, 2023.

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In this podcast episode, I was very pleased to guest Linus Corneliusson: a mixing engineer and editing assistant at Fascination Street Studios who has shifted towards audio plugin development.

I met Linus (and his colleague Jacek) at the Audio Developer Conference 2022 and he’s definitely one of the most friendly and funny people in the community. What is even more amazing, he’s worked in the studio with top-notch heavy metal bands, like James LaBrie, Soilwork, DragonForce, Haken, Leprous, Dark Tranquility, Between the Buried and Me, and Fates Warning (basically most of the major names in the progressive metal genre).

In the podcast, we discus how Linus started creating simple audio plugins on the side which led him to pursuing a full-blown career as an audio programmer for Bogren Digital. We also discuss tools, tips, and resources he used and recommends for starting in audio programming.

Are you a mixing engineer looking for a way to transition into audio development? Are you seeking advice on which path to take and which resources are the best to reach out for? Do you need inspiration and motivation? Then this episode is for you!

Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. You can do so on Spotify as well. 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. You can also subscribe and give a like on YouTube. Thank you for doing this 🙏

Episode Contents In this podcast episode, you will learn:

  • how Linus started his studio career and ended up working with the top metal bands 🤟 in the industry
  • how a mixing engineer can start writing their own plugins 🎚️
  • how Linus decided to pursue the audio programming path and which resources he used
  • what are the tools he’s using day-to-day
  • is the Audio Developer Conference worth going to (spoiler: it is but find out why 😉)

This episode was recorded on November 29, 2023.

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For this podcast episode, I was lucky to interview Ian Hobson: a former DJ who transitioned to audio programming, worked at Ableton, and then launched a successful freelancing career.

Ian is well-known in the community for his talks on Rust at the Audio Developer Conferences and on YouTube. He’s also created his own programming language: Koto.

We met at the Audio Developer Conference 2022 and he was kind enough to agree on recording an interview with him. I must say that after recording the podcast, I respect his drive to continuously learn and improve even more!

Ian shares a ton of useful knowledge on

  • freelancing,
  • Rust for audio programming,
  • learning Rust,
  • self-organization,
  • learning DSP,
  • maintaining the internal drive in the professional career,
  • and more!

I highly encourage you to listen to the podcast in full!

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:

  • how Ian got into DJ-ing and how he then went back to the univerisity to become an audio programmer
  • how he landed his job at Ableton
  • why he started exploring Rust for audio
  • why is Rust more programmer-friendly than C++
  • how to become a freelancer in the audio programming space
  • how to stay organized as a freelancer
  • what is Ian’s go-to tech stack at the moment.

The episode was recorded on November 3, 2023.

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In this podcast episode, I was lucky to interview Oliver Larkin: an audio programming legend from the UK.

Starting with a passion for music, going through Max, SynthEdit, PureData, then C++ to JavaScript and others, there is no audio technology that's not known to him. He has worked on projects with Arturia and Focusrite (among many more) and nowadays works for Ableton. He has conducted research in spatial audio, and has created successful plugins, like the Casio CZ-101 synthesizer emulation.

He is most widely known as the co-author of Web Audio Modules and iPlug2: an C++ framework for creating audio plugins and web-hosted audio apps. It allows you to have a single codebase that builds various plugin formats out of the box, e.g., VST, AAX, and AU. Sounds familiar? That's because it is an alternative to the JUCE framework.

With 20 years of experience in audio programming, he can be a role model for aspiring audio programmers.

All this and more, including Oli’s learning path is discussed in this podcast episode!

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:

  • how Oli has learned audio programming thanks to his passion for music
  • how his carreer path unfolded from the university up until today when he’s working full-time for Ableton in Berlin
  • how he collaborated with Plugin Boutique at its very start
  • how he came up with the idea of iPlug2 and what are the challenges involved
  • how he came across the idea of Web Audio Modules and helped develop them further
  • how to be a successful freelancer in the field of audio programming
  • how indie developers can make their audio plugins successful
  • what’s his tech stack
  • best resources on learning music DSP

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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 ContentsIn this podcast episode, you will learn:

  • how Christoph learn web audio programming and how he started his freelancing career
  • which resources he recommends for learning web audio programming
  • which languages, libraries & frameworks to use best, if you want to start coding audio in the browser (it’s not JavaScript!)
  • what are the challenges of audio synchronization on the web
  • how to ensure that your audio code behaves the same across all browsers
  • how web audio standards are developed and implemented

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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 ContentsIn this podcast episode, you will learn:

  • how Jay became a sound engineer,
  • how he came up with the idea to start the Sound Without Sight organization,
  • what is the Royal National Institute of Blind People (RNIB) and how they invite industry collaborations for an accessible music experience for everyone,
  • why you should even consider making your software accessible (hint: 💵),
  • how audio developers can make their software accessible,
  • how to test the accessibility of your software,
  • what are typical difficulties of musicians and sound engineers with blindness or partial blindness,
  • how Audio Developers Conference 2022 tackled the issue of accessibility and how ADC23 can improve upon it.

This podcast was recorded on April 5, 2023.

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In this podcast episode, you will learn:

  • how Meinard Müller became a professor for Music Information Retrieval at AudioLabs in Erlangen,
  • what are AudioLabs and how they relate to Fraunhofer IIS and the University of Erlangen-Nürnberg,
  • how professor Müller approaches doing teaching and research in his research group,
  • how to learn doing research and how to collaborate with your supervisor (for master thesis, PhD thesis, or other research work),
  • how to mentor your students,
  • what is the book “Fundamentals of Music Processing” about and how did the process of writing it look,
  • how to tackle huge projects,
  • what is a professor’s day-to-day life like,
  • what is music information retrieval and how did the AI/deep learning revolution influence it.


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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:

  • how Andrew learned audio processing and became an audio researcher after a successful rock band musician career,
  • how he explored AI for music creation in his PhD,
  • what is Neutone about and how to use it to deploy trained neural networks from PyTorch to audio plugins,
  • what is Neural Audio Plugin competition,
  • how is living and working in Japan for a person from the UK.


Episode notes: https://thewolfsound.com/talk011/

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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:

  • how was GPU Audio conceived,
  • why typically GPUs are not used in audio plugins,
  • why previous approaches to GPU audio processing haven’t been widely successful,
  • how GPU Audio’s solution handles the main problems of GPU processing,
  • how one can learn about GPU processing in general,
  • how you can help test their software and possibly win cool prizes in their IR competition.

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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:

  • how Stefano pursued his interest in music to eventually become an audio programmer and a researcher,
  • how developing audio software at Arturia looks like,
  • what challenges must audio programming freelancers overcome,
  • how to “productify” your audio programming expertise,
  • what is the Brickworks library about,
  • how to approach the development of novel audio products,
  • how does work in an R&D department at a company differs from research work at the university,
  • what are the challenges when it comes to creating virtual analog plugins,
  • useful tools for audio research and programming,
  • how do the Digital Audio FX conference and the Audio Developers Conference compare.


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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 ContentsIn this podcast episode, you will learn:

  • how Prashant went from Mechanical Engineering to audio production, to managing audio teams, and to building audio products and educating others,
  • how Prashant cooperated with various brands, for example, Disney, with regard to sound,
  • what is sound design and how it differs from technical sound design,
  • what is important in managing audio-related teams of musicians, developers, and related,
  • what tools you can use to speed up your audio workflow (as a solo producer or in the team),
  • how you can become a technical sound designer,
  • how Audio Developers Conference 2022 in London turned out 😄

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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 Fierro,
  • Jon Fagerström, and
  • Alec Wright.

Please, 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 ContentsIn this podcast episode, you will learn:

  • What are ambisonics?
  • What is spatial audio?
  • What are 6 degrees of freedom (6DoF)?
  • What is important in spatial audio for a realistic impression?
  • What is cross-talk cancellation?
  • How does individualization look in virtual reality?

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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.

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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:

  • ✅ how to start making your own music hardware, for example, hardware synthesizers,
  • ✅ where to get product ideas from,
  • ✅ how to go about validating your product in the market,
  • ✅ where to look for manufacturers,
  • ✅ recommended resources for building audio hardware.

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

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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/

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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.

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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/

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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 🧐.