Transcribes audio files to text and synthesizes expressive speech in multiple languages.
npx skills add https://github.com/cnbison/lbc-skills --skill voice-cnbison
Please help me install this Agent Skill. Skill: voice Source: https://github.com/cnbison/lbc-skills/tree/main/skills/mofa-fm/.octos/platform-skills/voice Command: npx skills add https://github.com/cnbison/lbc-skills --skill voice-cnbison
Converts spoken language into text and synthesizes speech from text with emotional tone, enabling natural voice interactions on Apple Silicon devices.
Transcribe an audio file named 'sample_audio.wav' into text and synthesize it with a cheerful voice.
High-intent search queries and answers about installing and using this skill.
Speech recognition transcribes audio files into text by processing spoken language through local models. It supports multiple languages including Chinese, English, Japanese, and Korean for accurate transcription.
Yes, voice cloning and model management allow downloading and managing different voice models for customized performance. You can synthesize speech from text using preset voices and emotion prompts.
Yes, you need an ominix-api server and local models to operate speech recognition and voice synthesis. The Skill runs real-time speech-to-text and text-to-speech processing directly on device.
Text-to-speech supports multiple languages including Chinese, English, Japanese, and Korean for interactive voice applications. It generates speech audio from text with preset voices and emotion prompts.
Combine speech recognition to transcribe user speech with text-to-speech to respond with emotion-aware speech synthesis in a specific language. This creates a natural voice assistant for interactive applications.
octos-orgTranscribe audio to text and synthesize speech on-device with local models.
adiytharpansaConvert written text into expressive speech using ElevenLabs text-to-speech.
tony2015116Synthesize and clone voices with MiniMax Voice API and FFmpeg.
Desko77Transcribe audio and video files using local and cloud speech recognition.
