For voiced speech, the most significant excitation takes place around the instant of glottal closure. Glottal closure instants (GCI) information is useful for accurate speech analysis. In particular accurate spectrum analysis is performed by considering the speech in the intervals of glottal closure. In this paper we propose an approach for detection of GCI by exploring Bessel feature, and the use of AM-FM signal. Using appropriate range of Bessel coefficients, the narrow band, band limited signal is obtained for the given signal. The band limited signal is considered as AM-FM signal. The signal is band limited for 0.300 Hz to remove effect of formants. Amplitude envelope (AE) function of the AM-FM signal model has been estimated by the discrete energy separation algorithm (DESA). The performance of the method is demonstrated using CMU-Arctic database. The corresponding electro-glottograph (EGG) signals are used as a reference for the validation of the detected GCI locations.
Cite as: Prakash, C., N., D., Gangashetty, S.V. (2011) Exploring bessel features for detection of glottal closure instants. Proc. Interspeech 2011, 1985-1988, doi: 10.21437/Interspeech.2011-522
@inproceedings{prakash11_interspeech,
author={Chetana Prakash and Dhananjaya N. and Suryakanth V. Gangashetty},
title={{Exploring bessel features for detection of glottal closure instants}},
year=2011,
booktitle={Proc. Interspeech 2011},
pages={1985--1988},
doi={10.21437/Interspeech.2011-522}
}