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Llicklair/ttspro-voces
ttspro-voces is a text-to-speech model from Llicklair. Use it when you need text read aloud. It is set up for piper. The card lists the license as mit.
Base voices for ttspro, a Spanish text-to-speech with voice cloning that runs entirely in the browser with ONNX Runtime Web. Each pack is a Piper voice (MIT) ported onto ttspro's modules and exported within ONNX Runti…
Downloads · 30 days
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.onnx713 MB · 100%
From the Hugging Face model README
Base voices for ttspro, a Spanish text-to-speech with voice cloning that runs entirely in the browser with ONNX Runtime Web. Each pack is a Piper voice (MIT) ported onto ttspro's modules and exported within ONNX Runtime Web's WebGPU operator set, with its own contract (symbol table, graph signature) and its base-voice vector for the tone-colour converter.
Files: indice.json lists the packs; <clave>.json is meta + contract + vector;
<clave>.tts.onnx (fp32) and <clave>.tts.fp16.onnx are the graphs.
Use: open the ttspro page with ?voces=https://huggingface.co/Llicklair/ttspro-voces/resolve/main/, or
TTS.cargar({ vocesBase: "https://huggingface.co/Llicklair/ttspro-voces/resolve/main/" }) in the library.
Built by uv run python -m ttspro.export.paquete --todas es.
| Pack | fp32 / fp16 | ms per sentence (CPU) |
|---|---|---|
| es_AR-daniela-high | 114.0 / 57.6 MB | 210 |
| es_ES-carlfm-x_low | 20.7 / 11.0 MB | 33 |
| es_ES-davefx-medium | 63.3 / 32.3 MB | 43 |
| es_ES-mls_10246-low | 63.2 / 32.2 MB | 129 |
| es_ES-mls_9972-low | 63.2 / 32.2 MB | 62 |
| es_MX-ald-medium | 63.3 / 32.3 MB | 63 |
| es_MX-ald-x_low | 20.8 / 11.0 MB | 66 |
| es_MX-claude-high | 63.3 / 32.3 MB | 60 |