Skip to content
View crlandsc's full-sized avatar
🎵
🎵
107 followers · 28 following

Achievements

Achievement: QuickdrawAchievement: Starstruckx2Achievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: QuickdrawAchievement: Starstruckx2Achievement: Pull Sharkx2Achievement: YOLO

Block or report crlandsc

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
crlandsc/README.md

Hi there 👋 my name is Chris!

I am an audio machine learning engineer and researcher working on advancing audio and music AI/ML capabilities.

Some of my recent work has focused on audio waveform diffusion for generative audio, audio source separation for music "demixing", and binaural externalization. I have also open-sourced a couple loss function packages for audio source separation and enhancement (torch-l1-snr, torch-log-wmse).

I also make music under the name 🎶After August.

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!

Follow my work, writing, and music on:

My Website | My Music | Medium | LinkedIn
YouTube | Spotify | Facebook | Instagram

Pinned Loading

  1. tiny-audio-diffusion tiny-audio-diffusion Public

    A repository for generating and training short audio samples with unconditional waveform diffusion on accessible consumer hardware (<2GB VRAM GPU)

    Python 183 16

  2. Music-Demixing-with-Band-Split-RNN Music-Demixing-with-Band-Split-RNN Public

    An unofficial PyTorch implementation of Music Source Separation with Band-split RNN for MDX-23 ("Label Noise" Track)

    Python 191 20

  3. torch-l1-snr torch-l1-snr Public

    Variations of L1 SNR Loss function for training audio source separation machine learning models

    Python 30

  4. torch-log-wmse torch-log-wmse Public

    logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.

    Python 45 1