hangtingchen

Beam-Guided-TasNet

Beam-guided TasNet

MFCC

C code to extract mfcc or fbank features from wav files

Complexity-Scaling-for-Speech-Denoising.github.io

Introduction and demos of "Scaling Denoising Models from Low to High Computational Complexity" (Submiited to ICASSP 2024)

BasicAudioToolBox

A basic audio toolbox for signal processing and statistic models

ultra_dual_path_compression.github.io

Introduction and demos of "Ultra Dual-Path Compression For Joint Echo Cancellation And Noise Suppression" (Interspeech 2023))

pytorch-revgrad

A gradient reversal layer for pytorch.

torch-stft

An STFT/iSTFT for PyTorch.

asteroid

The PyTorch-based audio source separation toolkit for researchers

cnpy

library to read/write .npy and .npz files in C/C++

DANet

Deep Attractor Network (DANet) for single-channel speech separation

DeepXi

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

fast-transformers

Pytorch library for fast transformer implementations

FiftyPhonogram

To improve your ability of fifty phonogram

homepage

inih

Simple .INI file parser in C, good for embedded systems

kaldi

kaldi-asr/kaldi is the official location of the Kaldi project.

mixup

nara_wpe

Different implementations of "Weighted Prediction Error" for speech dereverberation

Norm2Kaldi

pyaec

simple and efficient python implemention of a series of adaptive filters. including time domain adaptive filters(lms、nlms、rls、ap、kalman)、nonlinear adaptive filters(volterra filter、functional link adaptive filters)、frequency domain adaptive filters(frequency domain adaptive filter、frequency domain kalman filter) for acoustic echo cancellation.

pyroomacoustics

Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.

Pytorch-Correlation-extension

Custom implementation of Corrleation Module

pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

setk

Tools for Speech Enhancement integrated with Kaldi

sms_wsj

SMS-WSJ: Spatialized Multi-Speaker Wall Street Journal database for multi-channel source separation and recognition

speech_separation

Include some core functions and model to handle speech separation

SpeechSeparation

speech separation based on frequencey features and neural networks

tensorflow

An Open Source Machine Learning Framework for Everyone

very-deep-convnets-raw-waveforms

Tensorflow - Very Deep Convolutional Neural Networks For Raw Waveforms - https://arxiv.org/pdf/1610.00087.pdf