Speech Analysis MCP Server

What is Speech Analysis MCP Server?

The Speech Analysis MCP Server is a voice analysis server that utilizes the Model Context Protocol (MCP) architecture to automatically analyze spoken English content. It supports features such as speech-to-text conversion, grammar error analysis, vocabulary suggestions, logical suggestions, and sentence comparison.

How to use Speech Analysis MCP Server?

To use the Speech Analysis MCP Server, clone the repository from GitHub, set up a Python virtual environment, install the required dependencies, and start the server. You can then send POST requests to trigger the analysis tools.

Key features of Speech Analysis MCP Server?

• Speech-to-text conversion using OpenAI Whisper model
• Grammar error analysis
• Vocabulary suggestions for better word choices
• Logical suggestions for content structure and logic feedback
• Sentence comparison to highlight discrepancies with the original text

Use cases of Speech Analysis MCP Server?

1. Analyzing spoken English for language learning
2. Providing feedback on grammar and vocabulary usage in spoken presentations
3. Assisting in speech therapy by identifying areas for improvement

FAQ from Speech Analysis MCP Server?

• What audio formats are supported?

The server supports .mp3 and .wav audio formats.

• How do I trigger the analysis?

You can trigger the analysis by sending POST requests to the server using the main.py script.

• Is there a demo available?

Yes, you can find sample audio files in the user_audio/ directory for testing.