Detecting broad phonemic class boundaries from greek speech in noise environments

Authors:
Iosif Mporas;Panagiotis Zervas;Nikos Fakotakis
Affiliations:
Wire Communications Laboratory, Electrical and Computer Engineering Department, University of Patras, Patras, Greece;Wire Communications Laboratory, Electrical and Computer Engineering Department, University of Patras, Patras, Greece;Wire Communications Laboratory, Electrical and Computer Engineering Department, University of Patras, Patras, Greece
Venue:
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
Year:
2006

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Abstract

In this work, we present the performance evaluation of an implicit approach for the automatic segmentation of continuous speech signals into broad phonemic classes as encountered in Greek language Our framework was evaluated with clear speech and speech with white, pink, bubble, car and machine gun additive noise Our framework's results were very promising since an accuracy of 76.1% was achieved for the case of clear speech (for distances less than 25 msec to the actual segmentation point), without presenting over-segmentation on the speech signal An average reduction of 4% in the total accuracy of our segmentation framework was observed in the case of wideband distortion additive noise environment.