Instructions to use echo-dust/piper-voices with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Piper
How to use echo-dust/piper-voices with Piper:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Piper voices โ mirror for the Reader PWA
A pinned subset of diffusionstudio/piper-voices
(itself a mirror of rhasspy/piper-voices),
kept under this account so the app that loads it controls versioning. Files are unchanged;
the directory layout is the upstream one, so @mintplex-labs/piper-tts-web resolves paths
the same way. voices.json is the upstream file filtered to the voices present here.
| voice | files | size |
|---|---|---|
en_US-amy-medium |
en/en_US/amy/medium/ |
63 MB |
en_US-hfc_female-medium |
en/en_US/hfc_female/medium/ |
63 MB |
en_US-ryan-high |
en/en_US/ryan/high/ |
121 MB |
en_GB-alan-medium |
en/en_GB/alan/medium/ |
63 MB |
Each voice directory carries its upstream MODEL_CARD with the training dataset and its
licence; those terms apply per voice. Piper itself is MIT
(rhasspy/piper).
Mirrored 2026-09-20.
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