About this episode

Julian Parker discusses his extensive career in audio programming and the impact of AI on music generation.

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…

People in this episode

Host: Jan Wilczek

Guest: Julian Parker

Topics covered

• AI music generation
• audio programming
• machine learning
• audio plugin design
• research in audio
• C++ programming
• generative music

Keywords

• AI music
• audio programming
• machine learning
• C++
• generative music
• audio plugins
• research papers

Mentioned in this episode

Organizations: Stability AI, TikTok, Native Instruments

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