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adaptive-mclp-dereverberation

adaptive-mclp-dereverberation-1

amphion

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.

asteroid

The PyTorch-based audio source separation toolkit for researchers

audio_source_separation

An implementation of audio source separation tools.

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

cggmm-iva

conv-tasnet

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

conv-tasnet-1

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。

dnn-based_source_separation

A PyTorch implementation of DNN-based source separation.

iva4cocktail

Neural network density models for speech separation.

nara_wpe

Different implementations of "Weighted Prediction Error" for speech dereverberation

piva

Performance-oriented implementation of independent vector analysis for blind source separation.

speech-quality-evaluation

voice-separation-and-enhancement

A framework for quick testing and comparing multi-channel speech enhancement and separation methods, such as DSB, MVDR, LCMV, GEVD beamforming and ICA, FastICA, IVA, AuxIVA, OverIVA, ILRMA, FastMNMF.