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great work by Tom Baker on PolyDDSP, at DMRN 🤘 C4DM at QMUL CDT Artificial Intelligence+Music

Had a great time presenting my PolyDDSP abstract at DMRN+18 C4DM at QMUL Follow the code progress at GitHub.com/TeeJayBaker/Po…

What an astonishingly terrible take. He misses the entire point of creative practice. Accessibility and mastery are not opposed, they're two ends of the same personal creative journey. Great tools help people start that journey (accessible), but also provide challenges that

Hey musicians / ML audio people! 🎶 Please help with my research by taking a listening test to help improve generative models! 2 parts, ~10 mins each: 🔊 Audio Quality Test 🎼 Chord Adherence (tricky but fun!) Headphones recommended →linktr.ee/lilactests Thanks again!

With Qosmo — AI Creativity & Music Lab we put out a new Max/MSP External! Introducing pesto~, a standalone wrapper for real-time neural pitch estimation! Robust, timbre-agnostic, low-latency pitch tracking in Max! Enjoy! 🎛

Put together a neat little Max external for very quick and lightweight neural pitch estimation using Alain Riou's PESTO model. It's open-source so If you're into live audio/visual stuff, please check it out!

``LiLAC: A Lightweight Latent ControlNet for Musical Audio Generation,'' Tom Baker, Javier Nistal, ift.tt/tzVTUIF

During his internship with SonyCSL(Paris)_Music Team, Tom just made possible cheap and controllable music generation 🎶🎶 Have a look if your generation is frustrated to be poor and out of control ⏬️⏬️⏬️