🤖 The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

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 audio, music, and speech generation research and development.

AudioLDM: Generate speech, sound effects, music and beyond, with text.

TTS Generation Web UI (Bark, MusicGen + AudioGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, MAGNet, StyleTTS2, MMS, Stable Audio, Mars5, F5-TTS, ParlerTTS)

Text-to-Audio/Music Generation

Audio generation using diffusion models, in PyTorch.

Official PyTorch implementation of BigVGAN (ICLR 2023)

Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch

A family of diffusion models for text-to-audio generation.

A timeline of the latest AI models for audio generation, starting in 2023!

Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)

AI Audio Datasets (AI-ADS) 🎵, including Speech, Music, and Sound Effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio applications.

Official pytorch implementation of the paper: "Catch-A-Waveform: Learning to Generate Audio from a Single Short Example" (NeurIPS 2021)

FunCodec is a research-oriented toolkit for audio quantization and downstream applications, such as text-to-speech synthesis, music generation et.al.

A collection of useful audio datasets and transforms for PyTorch.

Trainer for audio-diffusion-pytorch

[CVPR'23] MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation

This is a list of sound, audio and music development tools which contains machine learning, audio generation, audio signal processing, sound synthesis, spatial audio, music information retrieval, music generation, speech recognition, speech synthesis, singing voice synthesis and more.

Pytorch implementation of BigVSAN