archinetai / audio-ai-timeline
A timeline of the latest AI models for audio generation, starting in 2023!
☆1,879Updated 8 months ago
Related projects: ⓘ
- Audio generation using diffusion models, in PyTorch.☆1,919Updated last year
- AudioLDM: Generate speech, sound effects, music and beyond, with text.☆2,382Updated 3 months ago
- Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch☆2,375Updated 7 months ago
- Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch☆3,122Updated last year
- Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.☆701Updated 2 months ago
- Contrastive Language-Audio Pretraining☆1,335Updated 2 months ago
- Tools to train a generative model on arbitrary audio samples☆1,076Updated 4 months ago
- Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch☆1,168Updated this week
- Community list of startups working with AI in audio and music technology☆1,528Updated last month
- Implementation of MusicLM, a text to music model published by Google Research, with a few modifications.☆511Updated last year
- State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.☆3,413Updated 8 months ago
- Fast Infinite Waveform Music Generation☆660Updated last year
- Official implementation of "Separate Anything You Describe"☆1,560Updated 5 months ago
- A family of diffusion models for text-to-audio generation.☆983Updated 2 months ago
- Stable diffusion for real-time music generation☆3,364Updated last month
- Audio Dataset for training CLAP and other models☆615Updated 7 months ago
- Text-to-Audio/Music Generation☆2,233Updated 3 weeks ago
- Official PyTorch implementation of BigVGAN (ICLR 2023)☆841Updated 2 weeks ago
- Convert any music library into a music production sample-library with ML☆1,489Updated last month
- State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.☆1,123Updated 2 months ago
- Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder☆1,285Updated last month
- ☆380Updated 3 months ago
- Stable diffusion for real-time music generation (web app)☆2,593Updated last month
- Implementation of Meta-Voicebox : The first generative AI model for speech to generalize across tasks with state-of-the-art performance.☆551Updated last year
- MIDI / symbolic music tokenizers for Deep Learning models 🎶☆652Updated this week
- A straightforward collection of Music Generation research resources.☆572Updated 11 months ago
- a list of demo websites for automatic music generation research☆602Updated this week
- List of academic resources on Multimodal ML for Music☆280Updated last year
- Implementation of Natural Speech 2, Zero-shot Speech and Singing Synthesizer, in Pytorch☆1,263Updated 11 months ago
- PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html☆1,992Updated 10 months ago