Confidence Scored Speech Segmentation With Temporal Boundaries

via “speaker-change-point-detection-with-confidence-scores”

automatic-speech-recognition model by undefined. 1,02,42,383 downloads.

Unique: Computes change point confidence by analyzing embedding similarity across frame boundaries and speaker assignment stability, rather than using simple threshold-based detection. Integrates with the diarization pipeline to provide confidence-weighted change points.

vs others: Provides confidence-scored change points compared to binary detection in simpler systems, enabling downstream filtering and ranking. More accurate than energy-based or spectral-based change point detection.