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Found a total of 2 results related to

MCP Speaker Diarization
The MCP Speaker Diarization and Recognition System is a complete solution integrating GPU-accelerated speaker separation, speech recognition, emotion detection, and a web interface. It combines the speaker separation of pyannote.audio with the faster-whisper transcription technology, supporting persistent speaker recognition (one-time registration, permanent recognition), dual-detector emotion analysis (combining general AI and personalized voiceprints), real-time stream processing, REST API, and MCP server, and is designed for AI intelligent agent integration and hobby projects.
Python
8.8K
2 points
D
Dy Xhs MCP Server
The Douyin and Xiaohongshu Content Extraction MCP Server supports extracting video, image, and text content from Douyin and Xiaohongshu sharing links, providing functions such as watermark-free video acquisition, AI speech recognition, and text extraction.
Python
6.6K
2 points