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sherpa-onnx-tts
Local offline text-to-speech using Sherpa ONNX with Piper voices
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Local offline text-to-speech using Sherpa ONNX with Piper voices
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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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.