Speaker Diarization
Real-time speaker diarization with automatic enrollment, transcription, and speaker tracking for multi-party conversations
About
Real-time speaker diarization and recognition system combining pyannote.audio for speaker segmentation, faster-whisper for transcription, and scikit-learn for speaker matching using cosine similarity on voice embeddings. Features live recording capabilities, automatic speaker enrollment from audio segments, retroactive speaker identification that updates past segments, and GPU acceleration with CUDA support. Exposes tools for identifying unknown speakers, managing speaker profiles, searching conversation history by speaker, and accessing real-time transcripts with speaker labels.
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