Multimodal Fusion for Speaker Diarization

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9412423 months ago

Combine visual features (face detection, lip movement analysis) with audio features to improve speaker diarization accuracy in video files. Use OpenCV for face detection and lip movement tracking, then fuse visual cues with audio-based speaker embeddings. Essential when processing video files with multiple visible speakers or when audio-only diarization needs visual validation.

Quick Install

npxskills add benchflow-ai/skillsbench--skill "Multimodal Fusion for Speaker Diarization"

Instructions

No instructions available

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