JinmingChe/sound-separation

Sound Separation

Open-source datasets and deep learning models for separating sounds.

Datasets

• Free Universal Sound Separation (FUSS).

• Audio from YFCC100M videos for mixture-invariant training (MixIT).

• Audio-visual YFCC100M with annotations for on-screen sound separation with AudioScope.

• Audio-visual YFCC100M with annotations for on-screen sound separation with AudioScopeV2.

• Synthetic AMI for speech separation in meeting room scenarios.

Models

• Free Universal Sound Separation (FUSS) baseline separation model.

• Universal unsupervised separation models using mixture invariant training (MixIT).

• Unsupervised separation models for birds using mixture invariant training (MixIT).