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ms-snsd

The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.

music_source_separation

nara_wpe

Different implementations of "Weighted Prediction Error" for speech dereverberation

nisqa

NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment

nnom

A higher-level Neural Network library for microcontrollers.

nsnet

This in an implementation of NSNet in PyTorch and PyTorch Lightning. NSNet is a recurrent neural network for single channel speech enhancement.

odas

ODAS: Open embeddeD Audition System

omlsa-imcra

Python implementation of OMLSA+IMCRA algorithm for speech enhancement.

pytorch2keras

PyTorch to Keras model convertor

realtime_audiodenoise_echocancellation

resampler

A Simple and Efficient Audio Resampler Implementation in C

rnnoise

Recurrent neural network for audio noise reduction

rnnoise_16k

implementation of rnnoise_16k

rubberband

Official mirror of Rubber Band Library, an audio time-stretching and pitch-shifting library.

samplecnn-speech-detection

Speech/Music discrimination using SampleCNN

sherpa-ncnn

Real-time speech recognition using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Raspberry Pi, etc.

sox

Personal fork of Sox - Sound eXchange, from http://sox.sourceforge.net/

soxr

The SoX resampler library

speechmetrics

A wrapper around speech quality metrics MOSNet, BSSEval, STOI, PESQ, SRMR, SISDR

speechsignalprocessing

speex-aec-matlab

Ported Speex AEC mdf algorithm from C to Matlab

speexdsp

Speex audio processing library - THIS IS A MIRROR, DEVELOPMENT HAPPENS AT https://gitlab.xiph.org/xiph/speexdsp

spleeter

Deezer source separation library including pretrained models.

spleetergui

Windows desktop front end for Spleeter - AI source separation

spuc

DSP Using C++ - Digital filters, Equalizers, Comm building blocks

trunet

Code for TRUNET model

trunet-1

unofficial PyTorch implementation of 《REAL-TIME DENOISING AND DEREVERBERATION WTIH TINY RECURRENT U-NET》

ufft

μFFT: fast Fourier transform

vad

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

vad-1

Voice activity detection based on Sohn's algorithm with noise tracking by Zhang.