Overview of Speech MCP for Goose MCP
Speech MCP is a cutting-edge extension for Goose MCP, designed to revolutionize voice interaction through modern audio visualization. This powerful tool provides users with a seamless way to communicate using voice, rather than traditional text interfaces. By leveraging the faster-whisper implementation of OpenAI’s Whisper model, Speech MCP offers real-time audio processing for speech recognition, ensuring swift and accurate transcriptions.
Use Cases
- Enhanced Communication: Ideal for users who prefer speaking over typing, Speech MCP facilitates natural and fluid conversations with AI agents.
- Accessibility: Provides an inclusive interface for users with disabilities, making digital interactions more accessible through voice.
- Multi-Language Support: With optional dependencies, Speech MCP can support multiple languages, broadening its usability across diverse linguistic backgrounds.
- Content Creation: Perfect for content creators looking to produce high-quality audio narrations for stories, dialogues, and podcasts.
- Business Integration: Seamlessly integrates with enterprise systems via the UBOS platform, enhancing business operations with AI-driven voice interactions.
Key Features
- Modern PyQt-Based UI: Features a sleek interface with dynamic audio visualization and a dark theme for easy navigation.
- Real-Time Speech Recognition: Utilizes faster-whisper for quick and accurate speech-to-text conversion.
- High-Quality Text-to-Speech: Offers over 54 voice options, providing flexibility and personalization for audio outputs.
- Multi-Speaker and Single-Voice Narration: Supports complex audio file generation with multiple voices for storytelling and simple text-to-speech conversions.
- Robust Error Handling: Ensures smooth operation with graceful recovery from common failure modes, providing helpful voice suggestions.
- Audio/Video Transcription: Capable of transcribing speech from various media formats, with options for timestamps and speaker detection.
- Voice Persistence and Continuous Conversation: Remembers user preferences and facilitates ongoing dialogues without manual intervention.
- Seamless Integration with UBOS: As a full-stack AI agent development platform, UBOS enables businesses to connect Speech MCP with enterprise data, enhancing productivity and workflow.
Installation and Prerequisites
To install Speech MCP, users must first ensure PortAudio is installed on their system, as it is crucial for audio capture. Detailed installation instructions are provided for various operating systems, including macOS, Linux, and Windows.
For a quick install, users can utilize the one-click installation link if Goose is already installed. Alternatively, Goose CLI or manual setup options are available, catering to different user preferences and technical expertise levels.
Technical Details
Speech MCP employs faster-whisper for efficient speech-to-text processing, ensuring local audio processing without relying on external services. The text-to-speech capabilities are powered by Kokoro TTS, offering high-quality neural voices with multiple language support.
Conclusion
Speech MCP stands out as a transformative tool for voice interaction, offering a comprehensive suite of features that cater to diverse user needs. Its integration with Goose MCP and the UBOS platform makes it an invaluable asset for businesses seeking to enhance their AI-driven communication capabilities. By providing a robust, user-friendly interface with extensive customization options, Speech MCP is poised to redefine how users interact with AI systems.
Speech Interface
Project Details
- Kvadratni/speech-mcp
- Last Updated: 4/17/2025
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