tingweichen's repositories
webrtc_agc2
demo for webrtc agc2
webrtc-beamforming
整理出来的webrtc波束模块
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2021
annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
ant-design
An enterprise-class UI design language and React UI library
awesome-audio-visual
A curated list of different papers and datasets in various areas of audio-visual processing
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.
awesome-speech-enhancement-1
speech enhancement\speech seperation\sound source localization
awesome-speech-recognition-speech-synthesis-papers
Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
d2l-mindspore
《动手学深度学习》的MindSpore实现。供MindSpore学习者配合李沐老师课程使用。
EmoSphere-TTS
The official implementation of EmoSphere-TTS
evalml
EvalML is an AutoML library written in python.
FAcodec
Training code for FAcodec presented in NaturalSpeech3
FNet-pytorch
Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
free-programming-books-zh_CN
:books: 免费的计算机编程类中文书籍，欢迎投稿
FullSubNet
PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
NeMo
NeMo: a toolkit for conversational AI
pytorch-template
PyTorch deep learning projects made easy.
SpeechAlgorithms
Speech Algorithms Collections
speechbrain
A PyTorch-based Speech Toolkit
svoice
We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.
tinyrecurrentunet
Real-Time De-noising and De-reverbing with Tiny Recurrent UNet
unified2021
A UNIFIED SPEECH ENHANCEMENT FRONT-END FOR ONLINE DEREVERBERATION, ACOUSTIC ECHO CANCELLATION, AND SOURCE SEPARATION