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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Foundational model for human-like, expressive TTS
| Date | Stars |
|---|---|
| 2026-07-24 | 4202 |
| 2026-07-25 | 4202 |
| 2026-07-28 | 4202 |
| 2026-07-30 | 4202 |
| 2026-07-31 | 4203 |
| 2026-08-06 | 4203 |
Today
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This week
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Momentum
0.0
growth rate 0.02%/day
# MetaVoice-1B [](https://ttsdemo.themetavoice.xyz/) <a target="_blank" style="display: inline-block; vertical-align: middle" href="https://colab.research.google.com/github/metavoiceio/metavoice-src/blob/main/colab_demo.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/> </a> [](https://discord.gg/tbTbkGEgJM) [](https://twitter.com/metavoiceio) MetaVoice-1B is a 1.2B parameter base model trained on 100K hours of speech for TTS (text-to-speech). It has been built with the following priorities: * **Emotional speech rhythm and tone** in English. * **Zero-shot cloning for American & British voices**, with 30s reference audio. * Support for (cross-lingual) **voice cloning with finetuning**. * We have had success with as little as 1 minute training data for Indian speakers. * Synthesis of **arbitrary length text** We’re releasing MetaVoice-1B under the Apache 2.0 license, *it can be used without restrictions*. ## Quickstart - tl;dr Web UI ```bash docker-compose up -d ui && docker-compose ps && docker-compose logs -f ``` Server ```bash # navigate to <URL>/docs for API definitions docker-compose up -d server && docker-compose ps && docker-compose logs -f ``` ## Installation **Pre-requisites:** - GPU VRAM >=12GB - Python >=3.10,<3.12 - pipx ([installation instructions](https://pipx.pypa.io/stable/installation/)) **Environment setup** ```bash # install ffmpeg wget https://johnvansickle.com/ffmpeg/builds/ffmpeg-git-amd64-static.tar.xz wget https://johnvansickle.com/ffmpeg/builds/ffmpeg-git-amd64-static.tar.xz.md5 md5sum -c ffmpeg-git-amd64-static.tar.xz.md5 tar xvf ffmpeg-git-amd64-static.tar.xz sudo mv ffmpeg-git-*-static/ffprobe ffmpeg-git-*-static/ffmpeg /usr/local/bin/ rm -rf ffmpeg-git-* # install rust if not installed (ensure you've restarted your terminal after installation) curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh ``` ### Project dependencies installation 1. [Using poetry](#using-poetry-recommended) 2. [Using pip/conda](#using-pipconda) #### Using poetry (recommended) ```bash # install poetry if not installed (ensure you've restarted your terminal after installation) pipx install poetry # disable any conda envs that might interfere with poetry's venv conda deactivate # if running from Linux, keyring backend can hang on `poetry install`. This prevents that. export PYTHON_KEYRING_BACKEND=keyring.backends.fail.Keyring # pip's dependency resolver will complain, this is temporary expected behaviour # full inference & finetuning functionality will still be available poetry install && poetry run pip install torch==2.2.1 torchaudio==2.2.1 ``` #### Using pip/conda NOTE 1: When raising issues, we'll ask you to try with poetry first. NOTE 2: All commands in this README use `poetry` by default, so you can just remove any `poetry run`. ```bash pip install -r requirements.txt pip install torch==2.2.1 torchaudio==2.2.1 pip install -e . ``` ## Usage 1. Download it and use it anywhere (including locally) with our [reference implementation](/fam/llm/fast_inference.py) ```bash # You can use `--quantisation_mode int4` or `--quantisation_mode int8` for experimental faster inference. This will degrade the quality of the audio. # Note: int8 is slower than bf16/fp16 for undebugged reasons. If you want fast, try int4 which is roughly 2x faster than bf16/fp16. poetry run python -i fam/llm/fast_inference.py # Run e.g. of API usage within the interactive python session tts.synthesise(text="This is a demo of text to speech by MetaVoice-1B, an open-source foundational audio model.", spk_ref_path="assets/bria.mp3") ``` > Note: The script takes 30-90s to startu
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20
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Vatsal Aggarwal
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Lucas Hänke de Cansino · Germany
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Ikko Eltociear Ashimine · Japan
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Hongbo
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:8ba13ddb89564a10, topic:text-to-speech, topic:tts, topic:speech-synthesis
matched fp:8ba13ddb89564a10, topic:deep-learning, topic:pytorch