Generate speech audio locally from text using Sherpa-ONNX runtime.
npx skills add https://github.com/cogpy/clawcog --skill sherpa-onnx-tts-cogpy
Please help me install this Agent Skill. Skill: sherpa-onnx-tts Source: https://github.com/cogpy/clawcog/tree/main/skills/sherpa-onnx-tts Command: npx skills add https://github.com/cogpy/clawcog --skill sherpa-onnx-tts-cogpy
This Skill provides a completely offline text-to-speech (TTS) solution, eliminating the need for cloud services and ensuring privacy and speed.
Use the sherpa-onnx-tts skill to convert the text "This is a test of local text to speech" into an audio file named output.wav.
High-intent search queries and answers about installing and using this skill.
You can generate speech audio offline by running text-to-speech synthesis locally on your device. This skill uses the Sherpa-ONNX runtime to convert text inputs into audio files without requiring an internet connection.
Yes, local text-to-speech is supported across macOS, Linux, and Windows. The skill works cross-platform as long as the Sherpa-ONNX runtime is properly configured on your operating system.
No, an internet connection is not required for offline text-to-speech synthesis. All audio generation happens directly on your device using pre-downloaded voice models, ensuring privacy and preventing data from being sent to external servers.
To set up the Sherpa-ONNX runtime for audio generation, you must configure the runtime and model directories. This setup is completed by providing the necessary paths via environment variables or command-line flags before synthesis.
The best way to convert meeting notes into audio files without cloud services is using a local TTS solution. This skill processes your text inputs entirely offline to create audio files for listening on the go.
Yes, pre-downloaded voice models are required for local TTS. The skill relies on these models alongside the Sherpa-ONNX runtime to perform offline audio generation directly on your hardware.
chebizarroGenerate speech audio from text using sherpa-onnx with local voice models.
buda-aiExtract and enhance audio from video files for MP3/WAV/AAC output.
steipeteTranscribe local audio files to text or subtitles using the Whisper CLI.
TikTzukiConvert text to speech and transcribe audio via cloud APIs.
