Audio Model Evaluation With Domain Specific Metrics And Benchmarking

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.