A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

The PyTorch-based audio source separation toolkit for researchers

A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

transform-average-concatenate (TAC) method for end-to-end microphone permutation and number invariant ad-hoc beamforming.

simple delaysum, MVDR and CGMM-MVDR

Control adaptive filters with neural networks.

Easy to use Beamformers for multi-channel speech separation/enhancement

Conferencing Speech Challenge

Support for Clarity Enhancement and Prediction Challenges (obsolete - see README)

BNNs (XNOR, BNN and DoReFa) implementation for PyTorch 1.0+

Multi-Delay Filter( or Partioned-block based Frequency-domain Adaptive Filter) impl with python.