Local speech synthesis
Local text-to-speech via sherpa-onnx (offline, no cloud needed).
What this skill does
# sherpa-onnx-tts Local TTS using the sherpa-onnx offline CLI. ## Install 1. Download the runtime for your OS (extracts into `~/.openclaw/tools/sherpa-onnx-tts/runtime`) 2. Download a voice model (extracts into `~/.openclaw/tools/sherpa-onnx-tts/models`) Update `~/.openclaw/openclaw.json`: ```json5 { skills: { entries: { "sherpa-onnx-tts": { env: { SHERPA_ONNX_RUNTIME_DIR: "~/.openclaw/tools/sherpa-onnx-tts/runtime", SHERPA_ONNX_MODEL_DIR: "~/.openclaw/tools/sherpa-onnx-tts/models/vits-piper-en_US-lessac-high", }, }, }, }, } ``` The wrapper lives in this skill folder. Run it directly, or add the wrapper to PATH: ```bash export PATH="{baseDir}/bin:$PATH" ``` ## Usage ```bash {baseDir}/bin/sherpa-onnx-tts -o ./tts.wav "Hello from local TTS." ``` Notes: - Pick a different model from the sherpa-onnx `tts-models` release if you want another voice. - If the model dir has multiple `.onnx` files, set `SHERPA_ONNX_MODEL_FILE` or pass `--model-file`. - You can also pass `--tokens-file` or `--data-dir` to override the defaults. - Windows: run `node {baseDir}\\bin\\sherpa-onnx-tts -o tts.wav "Hello from local TTS."`
- Clarifies goals, inputs, and success criteria
- Preserves evidence and marks uncertain boundaries
- Produces structured, editable results