happlydata's repositories
AEC-Challenge
AEC Challenge
audiomentations
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
awesome-speech-enhancement
speech enhancement\speech seperation\sound source localization
ConferencingSpeech2021
Conferencing Speech Challenge
Deep-Learning-with-TensorFlow-book
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
designaudiopriors
A Novel U-Net Prior for Unsupervised Audio Restoration
DNS-Challenge
This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.
DSDPRNN
Implementation of Dual-Stream DPRNN (paper: Nonlinear Residual Echo Suppression Based on Dual-Stream DPRNN)
FullSubNet
PyTorch implementation of "A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
hifi-gan
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
machine-learning-code-writing
Mathematical derivation and pure Python code implementation of machine learning algorithms.
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.
PercepNet
(Under construct) Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech
pse-snr-informed
2021 INTERSPEECH, "Improved Personalized Speech Enhancement through SNR-Informed Self-Supervised Pretraining".
pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
PyTorch-CPP
PyTorch C++ inference with LibTorch
rnnoise_16k
implementation of rnnoise_16k
segan
Speech Enhancement Generative Adversarial Network in TensorFlow
sigsep-mus-db
Python parser and tools for MUSDB18 Music Separation Dataset
specmix
This is a project of Interspeech2021 paper "SpecMix : A Mixed Sample Data Augmentation method for Training with Time-Frequency Domain Features"
Subband-Music-Separation
Pytorch: Channel-wise subband (CWS) input for better voice and accompaniment separation
TSEGAN
The implement of the paper 'Time-domain Speech Enhancement with GenerativeAdversarial Learning'
Tutorial_Separation
This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.
unified2021
A UNIFIED SPEECH ENHANCEMENT FRONT-END FOR ONLINE DEREVERBERATION, ACOUSTIC ECHO CANCELLATION, AND SOURCE SEPARATION
voicefilter
Unofficial PyTorch implementation of Google AI's VoiceFilter system
webrtc-delay-estimation
Delay estimation logic extracted from WebRTC