jiaxp3144 Goto Github PK

a-convolutional-recurrent-neural-network-for-real-time-speech-enhancement

A minimum unofficial implementation of the A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement (CRN) using PyTorch.

am-radio

AM Radio that can apply different filter for extracting base signal with different delays and errors.

asteroid

The PyTorch-based audio source separation toolkit for researchers || Pretrained models available

automatic_speech_recognition

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-speech-enhancement

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

complexpytorch

A high-level toolbox for using complex valued neural networks in PyTorch

conferencingspeech2021

Conferencing Speech Challenge

conv-tasnet

Deep Neural Network for Speaker Separation

dccrn

implementation of "DCCRN-Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement" by pytorch

deepfakebench

A comprehensive benchmark of deepfake detection

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 ICASSP 2021 Deep Noise Suppression (DNS) Challenge.

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

free-programming-books-zh_cn

免费的计算机编程类中文书籍，欢迎投稿

gammatone

Gammatone-based spectrograms, using gammatone filterbanks or Fourier transform weightings.

git_tutorial

temp repository for learning github

localization_daily

daily work back up

mandarin-tts

Chinese Mandarin tts text-to-speech 中文 (普通话) 语音 合成 , by fastspeech 2 , implemented in pytorch, using waveglow as vocoder, with biaobei and aishell3 datasets

metricnet

p.808

This is an open-source implementation of the ITU P.808 standard for "Subjective evaluation of speech quality with a crowdsourcing approach" (see https://www.itu.int/rec/T-REC-P.808/en). It uses Amazon Mechanical Turk as the crowdsourcing platform. It includes implementations for Absolute Category Rating (ACR), Degradation Category Rating (DCR), and Comparison Category Rating (CCR).

powernorm

[ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845

py_roomsim

Python adaptation of Matlab sources with simulation of shoebox room acoustics

pyimagesource

Image-source method for room acoustics

pysepm

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

pystoi

Python implementation of the Short Term Objective Intelligibility measure

python-pesq

A python package for calculating the PESQ.

python-pesq-1

PESQ (Perceptual Evaluation of Speech Quality) Wrapper for Python Users (narrow band and wide band)

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

rhrnet

RHRNet unofficial code.