Voice activity detection under the highly fluctuant recording conditions of call centres

Authors:
Ivan Mica;Hicham Atassi;Jiri Prinosil;Petr Novak
Affiliations:
Brno University of Technology, Faculty of Electrical Engineering and Communication, Brno, Czech Republic;Brno University of Technology, Faculty of Electrical Engineering and Communication, Brno, Czech Republic;Brno University of Technology, Faculty of Electrical Engineering and Communication, Brno, Czech Republic;Retia, a.s., Pardubice, Czech Republic
Venue:
ECS'10/ECCTD'10/ECCOM'10/ECCS'10 Proceedings of the European conference of systems, and European conference of circuits technology and devices, and European conference of communications, and European conference on Computer science
Year:
2010

Citing 2
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Abstract

One of the practical issues of the voice activity detection (VAD) algorithms, that are commonly installed in today's call centres, lies in the tremendous variability of call recording conditions. Particularly, the intermittent occurence of noise-only or silent speech recordings among normal volume recordings of standard talks is very displeasing and often significantly decreases the overal true detection rates. We describe an enhancement of statistical VAD algorithm, which makes it more robust to most of such deviations, while not exalting its overal complexity.