#Audio-generation
Showing 27 of 27 repositories tagged #audio-generation, ranked by stars
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
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.
YuE: Open Full-song Music Generation Foundation Model, something similar to Suno.ai but open
A framework for efficient model inference with omni-modality models
A single Gradio + React WebUI with extensions for ACE-Step, OmniVoice, Kimi Audio, Piper TTS, GPT-SoVITS, CosyVoice, XTTSv2, DIA, Kokoro, OpenVoice, ParlerTTS, Stable Audio, MMS, StyleTTS2, MAGNet, AudioGen, MusicGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, and Bark!
Audio generation using diffusion models, in PyTorch.
A timeline of the latest AI models for audio generation, starting in 2023!
Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch
Official CLI for muapi.ai — generate images, videos & audio from the terminal. MCP server, 14 AI models, npm + pip installable.
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.
The hub for audio AI research: papers, open models, benchmarks & datasets across audio LLMs, speech recognition, TTS, music & audio generation.
Audio Development Tools (ADT) is a project for advancing sound, speech, and music technologies, featuring components for machine learning, sound synthesis, speech and music generation, signal processing, game audio, digital audio workstations (DAWs), and more.
Genblaze is an open source Python SDK for orchestrating generative AI media pipelines across video, audio, and image providers with built in provenance for every output.
Self-hosted AI voice agent
MCWW: Additional non-node based UI for ComfyUI focused on inference. Stable UI states; presets; and advanced queue. Based on Gradio
Easy fine-tuning for Qwen3-TTS: Fast voice cloning and high-quality multilingual speech synthesis.
n8n community nodes for MuAPI — generate images, videos & audio with 60+ AI models (FLUX, Midjourney V7, Veo 3, Suno, Kling, Runway) in your n8n workflows
[Interspeech 2025] DualCodec: A Low-Frame-Rate, Semantically-Enhanced Neural Audio Codec
RunAPI MCP server for model discovery, pricing lookup, media task creation, and balance checks.
Ultimate AI Media Generation Tools Master List
[NeurIPS 2024] Code, Dataset, Samples for the VATT paper “ Tell What You Hear From What You See - Video to Audio Generation Through Text”
[Interspeech 2024] LiteFocus is a tool designed to accelerate diffusion-based TTA model, now implemented with the base model AudioLDM2.
FastSAG: Towards Fast Non-Autoregressive Singing Accompaniment Generation
Voice Cloning, Voice Call, and Text-to-Speech platform. Perfect for content creators, developers, and storytellers 😉
ComfyUI custom nodes for Suno — generate, remix, extend, and shape AI music inside ComfyUI via the muapi.ai API.
The official github repo for MixEval-X, the first any-to-any, real-world benchmark.