Convert text to speech locally on-device using sherpa-onnx.
npx skills add https://github.com/Luzzer/Kraken --skill sherpa-onnx-tts-luzzer
Please help me install this Agent Skill. Skill: sherpa-onnx-tts Source: https://github.com/Luzzer/Kraken/tree/main/skills/sherpa-onnx-tts Command: npx skills add https://github.com/Luzzer/Kraken --skill sherpa-onnx-tts-luzzer
Local text-to-speech via sherpa-onnx (offline, no cloud) to enable private, on-device voice synthesis.
Run the sherpa-onnx-tts wrapper with a text input to generate an audio file.
High-intent search queries and answers about installing and using this skill.
Offline text-to-speech locally is achieved by using sherpa-onnx to convert text to speech on-device. This avoids cloud processing and requires setting the SHERPA_ONNX_RUNTIME_DIR and SHERPA_ONNX_MODEL_DIR environment variables.
Yes, sherpa-onnx TTS works on macOS, Linux, and Windows. The cross-platform wrapper script manages the runtime and models to provide private, offline voice synthesis across these operating systems.
To run on-device TTS with sherpa-onnx, you need to set the SHERPA_ONNX_RUNTIME_DIR and SHERPA_ONNX_MODEL_DIR environment variables. The wrapper script uses these variables to locate the required runtime and models.
Yes, you can use offline TTS for embedded systems and on-device assistants. Local text-to-speech with sherpa-onnx provides private, cloud-free voice synthesis suitable for these applications.
The wrapper script manages the sherpa-onnx runtime and models by using the defined environment variables to locate the directories. It executes the local text-to-speech conversion process without needing cloud APIs.
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