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On the Use of Dot Scoring for Speaker Diarization
[chapter]
2011
Lecture Notes in Computer Science
In this paper, an alternative dot scoring based agglomerative hierarchical clustering approach for speaker diarization is presented. Dot-scoring is a simple and fast technique used in speaker verication that makes use of a linearized procedure to score test segments against target models. In our speaker diarization approach speech segments are represented by MAP-adapted GMM zero and rst order statistics, dot scoring is applied to compute a similarity measure between segments (or clusters) and
doi:10.1007/978-3-642-21257-4_76
fatcat:mwm3ecwfn5am5oscqqaftpfvxu