I am an audio machine learning engineer and researcher working on advancing audio & music AI/ML capabilities.
- tiny-audio-diffusion — Music & audio waveform diffusion for local training & inference on consumer GPUs (<2GB VRAM)
- Music-Demixing-with-Band-Split-RNN — Music source separation with the BSRNN architecture for the MDX-23 challenge
- torch-l1-snr
— PyTorch L1-SNR loss functions for audio source separation & enhancement - torch-log-wmse
— PyTorch audio quality metric & loss function for audio source separation & enhancement - Binaural Externalization — Spatial audio algorithm for externalizing stereo and binaural audio
- The State of Generative Music — AI & music creators: analysis and a path toward collaboration
- Audio Diffusion: Generative Music's Secret Sauce — How diffusion models power modern generative music AI models
- Tiny Audio Diffusion — Developing waveform diffusion for consumer GPUs
- The Music 'Demixing' AI Revolution — Modern music & audio source separation breakthroughs
- I make music under the name 🎶After August.
- My album Moments is out everywhere!
Website ·
YouTube ·
Spotify ·
Facebook ·
Instagram
Please reach out if you have any questions, or if you are interested in chatting about audio, music, AI/ML, spatial audio, or all of the above!





