Extending the task of diarization to speaker attribution
Houman Ghaemmaghami, David B. Dean, Robbie Vogt, Sridha Sridharan · 2011
In this paper we extend the concept of speaker annotation within a single-recording, or speaker diarization, to a collection wide approach we call speaker attribution.Accordingly, speaker attribution is the task of clustering expectantly homogenous intersession clusters obtained using diarization according to common cross-recording identities.The result of attribution is a collection of spoken audio across multiple recordings attributed to speaker identities.In this paper, an attribution system is proposed using mean-only MAP adaptation of a combined-gender UBM to model clusters from a perfect diarization system, as well as a JFA-based system with session variability compensation.The normalized cross-likelihood ratio is calculated for each pair of clusters to construct an attribution matrix and the complete linkage algorithm is employed to conduct clustering of the inter-session clusters.A matched cluster purity and coverage of 87.1% was obtained on the NIST 2008 SRE corpus.