Automatic voice activity detection in different speech applications

Authors:
Marko Tuononen;Rosa Gonzalez Hautamäki;Pasi Fränti
Affiliations:
University of Joensuu;University of Joensuu, Joensuu, Finland;University of Joensuu
Venue:
Proceedings of the 1st international conference on Forensic applications and techniques in telecommunications, information, and multimedia and workshop
Year:
2008

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Abstract

This paper presents performance evaluation of voice activity detectors (VAD) by long-term spectral divergence and simple energy-based scheme. Evaluation is made in the terms of false accept (FA) and false reject (FR) errors using four different types of materials, recorded under different transfer channels, scenarios and conditions. Performance of VADs is considered for forensics, speaker recognition and interactive speech dialogue applications. Performance is still far from perfect, but despite the numerous classification errors of the methods tested, especially with noisy data, the methods can be still useful.