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switching to high quality piper tts and added label translations

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Matthias Hinrichs
2026-01-29 23:48:19 +01:00
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Metadata-Version: 2.4
Name: piper-tts
Version: 1.3.0
Summary: Fast and local neural text-to-speech engine
Home-page: http://github.com/OHF-voice/piper1-gpl
Author: The Home Assistant Authors
Author-email: hello@home-assistant.io
License: GPL-3.0-or-later
Keywords: home,assistant,tts,text-to-speech
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Text Processing :: Linguistic
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: COPYING
Requires-Dist: onnxruntime<2,>=1
Provides-Extra: train
Requires-Dist: torch<3,>=2; extra == "train"
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Provides-Extra: http
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# Piper 1 (GPL)
A fast and local neural text-to-speech engine that embeds [espeak-ng][] for phonemization.
Install with:
``` sh
pip install piper
```
* 🎧 [Samples][samples]
* 💡 [Demo][demo]
* 🗣️ [Voices][voices]
* 🖥️ [Command-line interface][cli]
* 🌐 [Web server][api-http]
* 🐍 [Python API][api-python]
* 🏋️ [Training new voices][training]
* 🛠️ [Building manually][building]
---
People/projects using Piper:
* [Home Assistant](https://github.com/home-assistant/addons/blob/master/piper/README.md)
* [NVDA - NonVisual Desktop Access](https://www.nvaccess.org/post/in-process-8th-may-2023/#voices)
* [Image Captioning for the Visually Impaired and Blind: A Recipe for Low-Resource Languages](https://www.techrxiv.org/articles/preprint/Image_Captioning_for_the_Visually_Impaired_and_Blind_A_Recipe_for_Low-Resource_Languages/22133894)
* [Video tutorial by Thorsten Müller](https://youtu.be/rjq5eZoWWSo)
* [Open Voice Operating System](https://github.com/OpenVoiceOS/ovos-tts-plugin-piper)
* [JetsonGPT](https://github.com/shahizat/jetsonGPT)
* [LocalAI](https://github.com/go-skynet/LocalAI)
* [Lernstick EDU / EXAM: reading clipboard content aloud with language detection](https://lernstick.ch/)
* [Natural Speech - A plugin for Runelite, an OSRS Client](https://github.com/phyce/rl-natural-speech)
* [mintPiper](https://github.com/evuraan/mintPiper)
* [Vim-Piper](https://github.com/wolandark/vim-piper)
* [POTaTOS](https://www.youtube.com/watch?v=Dz95q6XYjwY)
[![A library from the Open Home Foundation](https://www.openhomefoundation.org/badges/ohf-library.png)](https://www.openhomefoundation.org/)
<!-- Links -->
[piper]: https://github.com/rhasspy/piper
[espeak-ng]: https://github.com/espeak-ng/espeak-ng
[cli]: https://github.com/OHF-Voice/piper1-gpl/blob/main/docs/CLI.md
[api-http]: https://github.com/OHF-Voice/piper1-gpl/blob/main/docs/APT_HTTP.md
[api-python]: https://github.com/OHF-Voice/piper1-gpl/blob/main/docs/API_PYTHON.md
[training]: https://github.com/OHF-Voice/piper1-gpl/blob/main/docs/TRAINING.md
[building]: https://github.com/OHF-Voice/piper1-gpl/blob/main/docs/BUILDING.md
[voices]: https://github.com/OHF-Voice/piper1-gpl/blob/main/docs/VOICES.md
[samples]: https://rhasspy.github.io/piper-samples
[demo]: https://rhasspy.github.io/piper-samples/demo.html