NDLI: A fast-match approach for robust, faster than real-time speaker diarization

Content Provider	IEEE Xplore Digital Library
Author	Yan Huang Vinyals, O. Friedland, G. Muller, C. Mirghafori, N. Wooters, C.
Copyright Year	2007
Description	Author affiliation: Int. Comput. Sci. Inst., Berkeley (Yan Huang; Vinyals, O.; Friedland, G.; Muller, C.; Mirghafori, N.; Wooters, C.)
Abstract	During the past few years, speaker diarization has achieved satisfying accuracy in terms of speaker Diarization Error Rate (DER). The most successful approaches, based on agglomerative clustering, however, exhibit an inherent computational complexity which makes real-time processing, especially in combination with further processing steps, almost impossible. In this article we present a framework to speed up agglomerative clustering speaker diarization. The basic idea is to adopt a computationally cheap method to reduce the hypothesis space of the more expensive and accurate model selection via Bayesian Information Criterion (BIC). Two strategies based on the pitch-correlogram and the unscented-trans-form based approximation of KL-divergence are used independently as a fast-match approach to select the most likely clusters to merge. We performed the experiments using the existing ICSI speaker diarization system. The new system using KL-divergence fast-match strategy only performs 14% of total BIC comparisons needed in the baseline system, speeds up the system by 41% without affecting the speaker Diarization Error Rate (DER). The result is a robust and faster than real-time speaker diarization system.
Starting Page	693
Ending Page	698
File Size	351909
Page Count	6
File Format	PDF
ISBN	9781424417452
DOI	10.1109/ASRU.2007.4430196
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-09
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Merging Error analysis Bayesian methods Real time systems Runtime Computer science Density estimation robust algorithm Iterative methods Automatic speech recognition KL-divergence Speaker diarization fast-match pitch-correlogram BIC
Content Type	Text
Resource Type	Article

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