Speech Interface (Faster Whisper)
Summary
This MCP server implementation provides voice interaction capabilities for AI assistants, enabling speech-to-text and text-to-speech functionality. It uses faster-whisper for improved speech recognition performance and integrates with PyAudio for audio processing. The server offers a simplified API for starting conversations and replying to user input, making it suitable for applications requiring natural language voice interfaces with AI models.
Available Actions(3)
narrate_conversation
Generate audio files with multiple voices for stories and dialogues. Parameters: script (string: path to JSON or Markdown script), output_path (string: path to save the output audio), script_format (string: 'json' or 'markdown')
narrate
Convert text directly to speech. Parameters: text (string: the text to convert), output_path (string: path to save the output audio). Alternatively, use text_file_path (string: path to a file containing text).
transcribe
Transcribe speech from various audio and video formats. Parameters: file_path (string: path to the audio/video file), include_timestamps (optional boolean), detect_speakers (optional boolean).
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