🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Robust Speech Recognition via Large-Scale Weak Supervision

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

TensorFlow code and pre-trained models for BERT

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

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

GUI for a Vocal Remover that uses Deep Neural Networks.

SOTA Open Source TTS

Faster Whisper transcription with CTranslate2

Python Implementation of Reinforcement Learning: An Introduction

ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

A PyTorch-based Speech Toolkit

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

End-to-End Speech Processing Toolkit

Amphion (/æmˈfaɪən/) 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 audi…

A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.

CodeGeeX2: A More Powerful Multilingual Code Generation Model

EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine

Chinese version of GPT2 training code, using BERT tokenizer.

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

Production First and Production Ready End-to-End Speech Recognition Toolkit

😝 TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

pytorch tutorial for beginners

LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.

An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.

Evolutionary algorithm toolbox and framework with high performance for Python

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

faster_whisper GUI with PySide6