Popular GitHub Repositories for Rhythm Conversion

?? - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Easily train a good VC model with voice data <= 10 mins!

SoftVC VITS Singing Voice Conversion

End-to-End Speech Processing Toolkit

Amphion (/?m?fa??n/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2E, F5-TTS, CosyVoice), with Whisper audio processing, RVC voice changer, YouTube download, UVR5 vocal isolation, and multilingual translation.

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Core Engine of Singing Voice Conversion & Singing Voice Clone

zero-shot voice conversion & singing voice conversion, with real-time support

Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.

A simple, high-quality voice conversion tool focused on ease of use and performance.

Real-time end-to-end singing voice conversion system based on DDSP (Differentiable Digital Signal Processing)

? A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Audio processing by using pytorch 1D convolution network

?A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.