Automatic classification of regular vs. irregular phonation types

Authors:
Tamás Bőhm;Zoltán Both;Géza Németh
Affiliations:
Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary;Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary;Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary
Venue:
NOLISP'09 Proceedings of the 2009 international conference on Advances in Nonlinear Speech Processing
Year:
2009

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Abstract

Irregular phonation (also called creaky voice, glottalization and laryngealization) may have various communicative functions in speech. Thus the automatic classification of phonation type into regular and irregular can have a number of applications in speech technology. In this paper, we propose such a classifier that extracts six acoustic cues from vowels and then labels them as regular or irregular by means of a support vector machine. We integrated cues from earlier phonation type classifiers and improved their performance in five out of the six cases. The classifier with the improved cue set produced a 98.85% hit rate and a 3.47% false alarm rate on a subset of the TIMIT corpus.