Multi Speaker Diarization And Speaker Identification

via “speaker-count-estimation-and-model-selection”

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

Unique: Uses embedding-space clustering quality metrics (silhouette analysis) to infer speaker count rather than relying on external classifiers. Integrates with the diarization pipeline to enable automatic parameter tuning.

vs others: Provides speaker count estimation as a built-in capability rather than requiring separate tools or manual inspection. More accurate than energy-based or spectral-based speaker count estimation methods.