CNN音频分割(音乐/人声/性别)工具集 https://github.com/ina-foss/inaSpeechSegmenter
最强CNN语音识别算法开源了：词错率5%，训练超快，Facebook出品 https://github.com/facebookresearch/wav2letter
轻量语音识别解码框架 https://github.com/robin1001/xdecoder
Espresso：快速端到端神经网络语音识别工具集 https://github.com/freewym/espresso
PyTorch音频处理工具/数据集 https://github.com/audeering/audtorch
'基于Kaldi的aidatatang_200zh的训练之葵花宝典' https://github.com/datatang-ailab/aidatatang_200zh/blob/master/README.zh.md
https://github.com/xcmyz/lightspeech
DeepSpectrum：基于预训练图像CNN的音频数据特征抽取工具包 https://github.com/DeepSpectrum/DeepSpectrum
Landmark音频指纹 https://github.com/dpwe/audfprint
基于Kaldi/Tensorflow的神经网络说话人识别/鉴别系统 https://github.com/mycrazycracy/tf-kaldi-speaker
【PyTorch语音识别框架】’patter - speech-to-text framework in PyTorch with initial support for the DeepSpeech2 architecture https://github.com/ryanleary/patter
(语音)说话人分割相关资源大列表 https://github.com/wq2012/awesome-diarization
Audio samples from ICML2019 "Almost Unsupervised Text to Speech and Automatic Speech Recognition" https://github.com/SpeechResearch/speechresearch.github.io
(PyTorch)Seq2Seq普通话Transformer语音识别 https://github.com/ZhengkunTian/Speech-Tranformer-Pytorch
Deep neural network based speech enhancement toolkit https://github.com/jtkim-kaist/Speech-enhancement
音乐音频标记预训练深度网络模型 https://github.com/jordipons/musiCNN
End-to-End Automatic Speech Recognition on PyTorch https://github.com/gentaiscool/end2end-asr-pytorch
(Pytorch)音源分离语音信号提取 https://github.com/AppleHolic/source_separation
Code and models for evaluating a state-of-the-art lip reading network https://github.com/afourast/deep_lip_reading
https://github.com/CorentinJ/Real-Time-Voice-Cloning
Program to benchmark various speech recognition APIs https://github.com/Franck-Dernoncourt/ASR_benchmark
基于Transformer的TTS语音合成模型 https://github.com/xcmyz/Transformer-TTS
DIY智能音箱(资源列表) https://github.com/voice-engine/make-a-smart-speaker/blob/master/zh.md
用深度学习实时克隆别人的声音 https://towardsdatascience.com/you-can-now-speak-using-someone-elses-voice-with-deep-learning-8be24368fa2b
用卷积网络从立体声音乐中分离乐器 https://towardsdatascience.com/audio-ai-isolating-instruments-from-stereo-music-using-convolutional-neural-networks-584ababf69de
用卷积神经网络从立体声音乐中分离人声 https://towardsdatascience.com/audio-ai-isolating-vocals-from-stereo-music-using-convolutional-neural-networks-210532383785
面向下一代交互设备的开源语音交互操作系统 https://github.com/yodaos-project/yodaos
笑声检测器 https://github.com/ideo/LaughDetection
'ASRT_SpeechRecognition - A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统' by nl8590687 https://github.com/nl8590687/ASRT_SpeechRecognition
用卷积神经网络从立体声音乐中分离人声 https://towardsdatascience.com/audio-ai-isolating-vocals-from-stereo-music-using-convolutional-neural-networks-210532383785
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network" https://github.com/soobinseo/Transformer-TTS
This is research-code for Synthesizing Obama: Learning Lip Sync from Audio. https://github.com/supasorn/synthesizing_obama_network_training
Voice Operated Character Animation https://voca.is.tue.mpg.de/en https://github.com/TimoBolkart/voca
Deezer 的(Tensorflow)音源分离库，可用命令行直接提取音乐中的人声、钢琴、鼓声等 https://github.com/deezer/spleeter
【开源语音分离/增强库】 https://github.com/speechLabBcCuny/onssen
Feature extractor for DL speech processing. https://github.com/bepierre/SpeechVGG
Transforming Spectrum and Prosody for Emotional Voice Conversion with Non-Parallel Training Data https://github.com/KunZhou9646/Nonparallel-emotional-VC
This is a PyTorch re-implementation of Speech-Transformer: A No-Recurrence Sequence-to-Sequence Model for Speech Recognition. https://github.com/foamliu/Speech-Transformer
【Athena：开源端到端语音识别引擎】 https://github.com/athena-team/athena
PREDICTING EXPRESSIVE SPEAKING STYLE FROM TEXT IN END-TO-END SPEECH SYNTHESIS https://github.com/Yangyangii/TPGST-Tacotron
PyTorch implementation of LF-MMI for End-to-end ASR https://github.com/YiwenShaoStephen/pychain
Audio samples from ICML2019 "Almost Unsupervised Text to Speech and Automatic Speech Recognition" https://github.com/RayeRen/unsuper_tts_asr
Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention. https://github.com/CSTR-Edinburgh/ophelia
Efficient neural speech synthesis https://github.com/MlWoo/LPCNet
Code for Vision-Infused Deep Audio Inpainting (ICCV 2019) https://github.com/Hangz-nju-cuhk/Vision-Infused-Audio-Inpainter-VIAI
deep learning based speech enhancement using keras or pytorch https://github.com/yongxuUSTC/sednn
Multi-voice singing voice synthesis https://github.com/MTG/WGANSing
【用涂鸦“唱歌”：将图像合成为声音】 https://github.com/jeonghopark/SketchSynth-Simple
【面向语音识别的中文/英文发音辞典】’ https://github.com/speech-io/BigCiDian
https://github.com/someonefighting/tf-kaldi-speaker-master
https://github.com/facebookresearch/wav2letter/wiki/Inference-Framework
【GridSound：在线数字音频编辑器】 https://github.com/GridSound/daw
【Asteroid：基于PyTorch的音源分离工具集】 https://github.com/mpariente/ASSteroid
【MelGAN 超快音频合成】 https://github.com/descriptinc/melgan-neurips
用深度学习生成钢琴音乐 https://github.com/haryoa/note_music_generator
音频分析/音乐检索相关数据集大列表 https://www.audiocontentanalysis.org/data-sets/
用WaveNet让语音受损用户重拾原声(少样本自适应自然语音合成) https://deepmind.com/blog/article/Using-WaveNet-technology-to-reunite-speech-impaired-users-with-their-original-voices
(C++)音频文件波形图生成 https://github.com/bbc/audiowaveform
【时域卷积DeepFake变音检测】 https://github.com/dessa-public/fake-voice-detection
Athena：(Tensorflow)端到端自动语音识别引擎开源实现 https://github.com/didi/athena
SV2TTS https://github.com/CorentinJ/Real-Time-Voice-Cloning
【(音频)数字信号处理入门(Notebooks)】 https://github.com/earthspecies/from_zero_to_DSP
【at16k：Python语音识别库】’at16k - Trained models for automatic speech recognition (ASR). A library to quickly build applications that require speech to text conversion.'
https://github.com/at16k/at16k
一维卷积网络音频处理 https://github.com/KinWaiCheuk/nnAudio
CRF数据高效端到端语音识别工具集 https://github.com/thu-spmi/CAT
【音乐波形域音源分离】’Music Source Separation in the Waveform Domain - source separation in the waveform domain for music' https://github.com/facebookresearch/demucs