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omlsa-imcra

Python implementation of OMLSA+IMCRA algorithm for speech enhancement.

overiva

Code to do blind source separation with more microphones than sources using auxilliary based independent vector analysis.

pcs

Perceptual Contrast Stretching on Target Feature for Speech Enhancement (Accepted by INTERSPEECH 2022)

percepnet

Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech

percepnet_tensorflow

My implementation of percepnet

perceptual-weighting-filter-loss

A perceptual weighting filter loss for DNN training in speech enhancement

pesqdnn

phasen-pytorch

pitch-tracking

Pitch tracking in real-time with the Kalman filter

pitchfilter

Speech enhancement by time-varying pitch-dependent filtering of harmonics

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.

pysepm

Python implementation of performance metrics in Loizou's Speech Enhancement book

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

sacc

Pitch detection by Subband Autocorrelation Classification

seaugment

Data augment for speech enhancement

semamba

This is the official implementation of the SEMamba paper.

sixty-years-of-frequency-domain-monaural-speech-enhancement

soundsourceseparation

The code for multi-channel source separation and dereverberation such as FastMNMF1, FastMNMF2, and AR-FastMNMF2.

source-separtion-toolkit

specaugment-plus

A Pytorch implementation of the paper : SpecAugment++: A Hidden Space Data Augmentation Method for Acoustic Scene Classification

speech-enhancement

Collection of papers, datasets and tools on the topic of Speech Dereverberation and Speech Enhancement

speech-separation-paper-tutorial

A must-read paper for speech separation based on neural networks

speechalgorithms

Speech Algorithms Collections

spmamba

subband_kalman_aec

Subband kalman filter for echo cancellation

taosbeechdsp

tcnn

TCNN Temporal convolutional neural network for real-time speech enhancement in the time domain

tinyrecurrentunet

Real-Time De-noising and De-reverbing with Tiny Recurrent UNet

tnn

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.