awesome-deep-audio

Deep Learning in audio processing, speech synthesis, text to speech, audio super resolution, etc.

Audio generation via diffusion models - PyTorch (Jan 2023)

https://github.com/archinetai/audio-diffusion-pytorch

NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates by Seungu Han, Junhyeok Lee @ MINDsLab Inc., SNU

(2022) https://github.com/mindslab-ai/nuwave2 - the project is written in pytorch and can be easily run locally, pre-trained models are also available for download. Compared to other audio upsampling solutions, NU-Wave 2 model has significantly less parameters with a similar performance.

GenerSpeech - impressive zero-shot style transfer for speech

(Dec 2022)

https://generspeech.github.io/

https://github.com/Rongjiehuang/GenerSpeech

Deep voice cloning

https://github.com/CorentinJ/Real-Time-Voice-Cloning

PDF - Deep Learning for Audio by YUCHEN FAN, MATT POTOK, CHRISTOPHER SHROBA

https://slazebni.cs.illinois.edu/spring17/lec26_audio.pdf

Audio Super Resolution

https://kuleshov.github.io/audio-super-res/

An open source implementation of WaveNet vocoder

https://r9y9.github.io/wavenet_vocoder/

Tacotron2 and WaveNet

https://colab.research.google.com/github/r9y9/Colaboratory/blob/master/Tacotron2_and_WaveNet_text_to_speech_demo.ipynb

Tensorflow Wavenet

https://github.com/ibab/tensorflow-wavenet

PyTorch wavenet

https://github.com/vincentherrmann/pytorch-wavenet

Speech Synthesis Framework

https://github.com/r9y9/nnmnkwii

WaveNet Keras

https://github.com/basveeling/wavenet

paddle paddle text to speech toolkit

https://github.com/PaddlePaddle/Parakeet

WaveGlow

https://github.com/NVIDIA/waveglow

PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition

https://github.com/qiuqiangkong/audioset_tagging_cnn