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VALL-E X

github.com

WebSelf-hosted
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Spec score 7.4 #184 of 233 in Text-to-speech tools

Spec sheet

Purpose
VALL-E X is an open source implementation of a multilingual, zero-shot text-to-speech model.Read 13 Oct 2026 · github.com
Product
VALL-E X is an open-source implementation of Microsoft’s zero-shot text-to-speech model, released for research or application use.Read 12 Oct 2026 · github.com
Platforms
web,self_hostedRead 20 Sep 2026 · github.com
Support
The README directs users with questions to open a GitHub issue or join the project Discord.Read 13 Oct 2026 · github.com
License
The repository uses the MIT License, which permits use, copying, modification, distribution, sublicensing, and sale subject to its terms.Read 13 Oct 2026 · github.com
Accent control
The README describes controlling accents, including speaking Chinese with an English accent or vice versa.Read 12 Oct 2026 · github.com
Audio environment
The model attempts to preserve the prompt’s acoustic environment, including ambient noise and music.Read 12 Oct 2026 · github.com
Commercial use
YesRead 20 Sep 2026 · github.com
Cross-language speech
It can synthesize speech in another language using a monolingual speaker prompt; the reproduced model does not include the speech-to-speech translation module, but the demo page says this can be achieved with Google Translate API.Read 13 Oct 2026 · plachtaa.github.io
Cross-lingual synthesis
It can generate personalized speech in another supported language from a monolingual speaker prompt.Read 12 Oct 2026 · github.com
Emotion and environment
The model can preserve emotion and acoustic characteristics from a supplied audio prompt.Read 13 Oct 2026 · github.com
Emotion control
Speech synthesis can retain the emotion of the acoustic prompt.Read 12 Oct 2026 · github.com
Export formats
WAVRead 20 Sep 2026 · github.com
Generation limit
The README recommends keeping the combined audio prompt and generated audio under 22 seconds for acceptable performance.Read 13 Oct 2026 · github.com
Hardware
The README says 6 GB of GPU VRAM is enough to run VALL-E X without offloading.Read 13 Oct 2026 · github.com
Intended use
The README says the trained model is released publicly for research or application usage.Read 13 Oct 2026 · github.com
Interfaces and demos
The project provides a Python graphical interface and links to online demos on Hugging Face and Google Colab.Read 12 Oct 2026 · github.com
Languages
3Read 20 Sep 2026 · github.com
Languages
The implementation supports English, Chinese, and Japanese speech synthesis.Read 13 Oct 2026 · github.com
Length limitation
For acceptable performance, the combined prompt and generated audio should be less than 22 seconds.Read 12 Oct 2026 · github.com
License and maintenance
The project is MIT-licensed, and GitHub marks the repository as archived and read-only since November 21, 2025.Read 12 Oct 2026 · github.com
Model limitation
The reproduced model does not include the speech-to-speech translation module; its demo page says that functionality can be achieved using Google Translate API.Read 12 Oct 2026 · plachtaa.github.io
Project status
GitHub marks the repository as archived and read-only since November 21, 2025.Read 13 Oct 2026 · github.com
Requirements
The installation instructions specify Python 3.10, PyTorch 2.0 or later, and CUDA 11.7–12.0; the project says it also runs on CPU.Read 13 Oct 2026 · github.com
Runtime requirements
Installation instructions specify Python 3.10, PyTorch 2.0+, and CUDA 11.7–12.0; the README says it also works on CPU.Read 12 Oct 2026 · github.com
Voice cloning
Voice cloning uses a 3–10 second speech sample and its transcript, which can be generated with Whisper if omitted.Read 13 Oct 2026 · github.com
Ways to use
The project provides a local graphical interface and Python usage, plus online demos through Hugging Face and Google Colab.Read 13 Oct 2026 · github.com

Where Specifiction places it

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