Capability
Speaker Diarization And Identification
20 artifacts provide this capability.
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speaker-diarization-3.1Model54/100
via “speaker-diarization-evaluation-and-metrics-computation”
automatic-speech-recognition model by undefined. 1,02,42,383 downloads.
Unique: Implements standard NIST diarization evaluation metrics with support for multiple evaluation modes (frame-level, segment-level, speaker-weighted). Handles speaker ID mapping via Hungarian algorithm to resolve label permutation ambiguity.
vs others: Provides comprehensive evaluation with standard metrics (DER, JER) comparable to official NIST evaluation tools, with easier Python integration. More detailed error analysis than simple accuracy metrics.