archinetai / audio-diffusion-pytorch
Audio generation using diffusion models, in PyTorch.
☆2,035Updated last year
Alternatives and similar repositories for audio-diffusion-pytorch:
Users that are interested in audio-diffusion-pytorch are comparing it to the libraries listed below
- Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch☆2,528Updated 3 months ago
- Contrastive Language-Audio Pretraining☆1,613Updated 5 months ago
- Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.☆756Updated 7 months ago
- A timeline of the latest AI models for audio generation, starting in 2023!☆1,899Updated last year
- AudioLDM: Generate speech, sound effects, music and beyond, with text.☆2,624Updated 4 months ago
- Audio Dataset for training CLAP and other models☆674Updated last year
- Official PyTorch implementation of BigVGAN (ICLR 2023)☆1,004Updated 7 months ago
- Implementation of MusicLM, a text to music model published by Google Research, with a few modifications.☆542Updated last year
- Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch☆3,245Updated last year
- Tools to train a generative model on arbitrary audio samples☆1,095Updated 11 months ago
- Learning audio concepts from natural language supervision☆547Updated 7 months ago
- Fast Infinite Waveform Music Generation☆674Updated 2 years ago
- A family of diffusion models for text-to-audio generation.☆1,161Updated 3 months ago
- State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.☆3,663Updated last year
- State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.☆1,394Updated 9 months ago
- Official implementation of "Separate Anything You Describe"☆1,725Updated 4 months ago
- DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.☆823Updated last year
- Implementation of Natural Speech 2, Zero-shot Speech and Singing Synthesizer, in Pytorch☆1,318Updated last year
- Implementation of Meta-Voicebox : The first generative AI model for speech to generalize across tasks with state-of-the-art performance.☆580Updated last year
- This toolbox aims to unify audio generation model evaluation for easier comparison.☆335Updated 6 months ago
- Stable diffusion for real-time music generation☆3,653Updated 9 months ago
- Generative models for conditional audio generation☆3,028Updated last month
- ☆392Updated 3 months ago
- Collection of audio-focused loss functions in PyTorch