framsc

sip-client-in-golang

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.

AdaptiveFilter

This rep contains awesome adaptive filter algorithms in 3 classic books.

ARD-simulator

3D sound propagation simulator using adaptive rectangular decomposition method.

AudioPlc

voip packet-loss concealment algorithm derived from WebRTC neteq module

awesome-speech-enhancement

speech enhancement\speech seperation\sound source localization

chapro

chapro is a library of modular functions that implement signal processing intended for hearing aids.

ConvolutionaNeuralNetworksToEnhanceCodedSpeech

In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral domain features. The proposed postprocessors in both domains are evaluated for various narrowband and wideband speech codecs in a wide range of conditions. The proposed postprocessor improves speech quality (PESQ) by up to 0.25 MOS-LQO points for G.711, 0.30 points for G.726, 0.82 points for G.722, and 0.26 points for adaptive multirate wideband codec (AMR-WB). In a subjective CCR listening test, the proposed postprocessor on G.711-coded speech exceeds the speech quality of an ITU-T-standardized postfilter by 0.36 CMOS points, and obtains a clear preference of 1.77 CMOS points compared to G.711, even en par with uncoded speech.

Cooley-Tukey-Algorithm

Mixed-Radix Cooley-Tukey FFT and Inverse FFT in Matlab

crc32c

CRC32C implementation with support for CPU-specific acceleration instructions

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

EffectiveTensorflow

TensorFlow 1.x and 2.x tutorials and best practices.

frams163com.github.io

google-research

Google AI Research

kaldi

This is now the official location of the Kaldi project.

keras-wavenet

Keras implementation of deepmind's wavenet paper

keygen

LetsJump

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Multi-mic-AFC

This is the newest virtual test environment for PEM-AFC2 in MATLAB

MusicGenreClassification

Classify music genre from a 10 second sound stream using a Neural Network.

nnfusion

A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.

python3-source-code-analysis

《Python 3 源码剖析》

scibak

sip_client

Sound_Localization_Algorithms

Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.

speech-denoising-wavenet

A neural network for end-to-end speech denoising

tensorflow

An Open Source Machine Learning Framework for Everyone

WaveNet-Enhancement

Speech Enhancement using Bayesian WaveNet

wujian100_open

IC design and development should be faster，simpler and more reliable