🤖 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

Daily tracking of awesome audio papers, including music generation, zero-shot tts, asr, audio generation

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

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.

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

StereoSampleGAN: A computationally inexpensive approach high fidelity stereo audio sample generation.

ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation

Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation

Various AI Online Tools. AI is taking over https://www.fastcompany.com/

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.

Stable Diffusion WebUI and KohyaSS, ComfyUI, InvokeAI, Fooocus, and more Generative AI on Docker

The AI Podcast Studio: generate podcasts scripts and their audio version with a team of AI workers in a Podcast Studio 🎙️📜

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

🔥 Omni large models and datasets for understanding and generating multi-modalities.

The official github repo for MixEval-X, the first any-to-any, real-world benchmark.

Experiments in neural networks for audio generation.

The official repo for Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation

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

The service is used to query text-to-audio AI models from the Hugging Face inference API.

FastSAG: Towards Fast Non-Autoregressive Singing Accompaniment Generation