Multi-Class Spectral Clustering with Overlaps for Speaker Diarization
Multi-Class Spectral Clustering with Overlaps for Speaker Diarization
This paper describes a method for overlap-aware speaker diarization. Given an overlap detector and a speaker embedding extractor, our method performs spectral clustering of segments informed by the output of the overlap detector. This is achieved by transforming the discrete clustering problem into a convex optimization problem which is solved …