بنقرة واحدة
sherpa-onnx-tts
Local offline text-to-speech using Sherpa ONNX with Piper voices
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Local offline text-to-speech using Sherpa ONNX with Piper voices
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
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| name | sherpa-onnx-tts |
| description | Local offline text-to-speech using Sherpa ONNX with Piper voices |
| emoji | 🗣 |
| version | 1.0.0 |
| requires | {"bins":["sherpa-onnx-offline-tts"]} |
| invocation | {"userInvocable":true} |
Convert text to speech audio entirely offline using the Sherpa ONNX runtime with Piper voice models. No cloud API or internet connection required.
Runs the sherpa-onnx-offline-tts binary, which loads a Piper ONNX voice model and synthesizes speech from input text. Output is a WAV audio file.
--vits-model=<path> -- path to the ONNX voice model file--vits-tokens=<path> -- path to the tokens file for the model--vits-data-dir=<path> -- path to the espeak-ng-data directory (for Piper models)--output-filename=<path> -- output WAV file path--speed=<float> -- speech speed multiplier (default 1.0; higher is faster)--sid=<int> -- speaker ID for multi-speaker modelssherpa-onnx-offline-tts \
--vits-model=./models/en_US-amy-medium.onnx \
--vits-tokens=./models/tokens.txt \
--vits-data-dir=./models/espeak-ng-data \
--output-filename=output.wav \
--speed=1.0 \
"Hello, this is a test of local text to speech."
Piper provides dozens of voices across many languages. Popular English voices include:
en_US-amy-medium (female, US English)en_US-joe-medium (male, US English)en_GB-alan-medium (male, British English)Voice models can be downloaded from https://github.com/k2-fsa/sherpa-onnx/releases/tag/tts-models
sherpa-onnx-offline-tts is on your PATH.