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dcunettorchsound

Implementation of Phase-aware speech enhancement with deep complex U-Net

deep-residual-shrinkage-networks

The deep residual shrinkage network is a variant of deep residual networks.

deepcomplexcrn

deepxi

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

demostep1

teset

denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

dns-challenge

This repo contains the scripts, models and required files for the Interspeech 2020 Deep Noise Suppression (DNS) Challenge. We are open sourcing clean speech and noise files as well. Participants of this challenge will use the scripts from this repo to create data to train their noise suppressors. They will compare their method with our baseline noise suppressor and report the results.

doa

DOA

dpcrn_dns3

Implementation of paper "DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement"

dtln

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

dtln-aec

This Repostory contains the pretrained DTLN-aec model for real-time acoustic echo cancellation.

dtlntflitec

dual-path-rnn-pytorch

Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch

ehist

ehist - subband energy histogram analysis for looking at speech channel quality

ell

Embedded Learning Library

enhancedphat

A simple method for correcting the phase bias suffered by GCC

fdndlp

A speech dereverberation algorithm, also called wpe

formant-frequency-based-speech-enhancement-logmmse

frida

A high-resolution direction-of-arrival finding algorithm relying on finite rate of innovation sampling with a robust reconstruction algorithm.

fullsubnet

PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

fullsubnet-plus

The official PyTorch implementation of "FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement".

gcc-nmf

Real-time GCC-NMF Blind Speech Separation and Enhancement

gcjy

GCJY_示波频谱失真分析

gift

Group ICA/IVA software (MATLAB)

gsc_beamforming

Generalised Sidelobe Canceler beamformer for an array of microphones using matlab

hike

Hike Code base

hilberttransform

Creation of analytic signals and applications

iva4cocktail

Neural network density models for speech separation.

libresample

Real-time library for sample rate conversion

lib_nn

Library of efficient neural network functions