Estimation of glottal closure instances from speech signals by weighted nonlinear prediction

Authors:
Karl Schnell
Affiliations:
Institute of Applied Physics, Goethe-University Frankfurt, Frankfurt am Main, Germany
Venue:
NOLISP'07 Proceedings of the 2007 international conference on Advances in nonlinear speech processing
Year:
2007

Citing 1
Cited 1

Speech nonlinearities, modulations, and energy operators

ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference

Evaluation of glottal closure instant detection in a range of voice qualities

Speech Communication

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Abstract

In this contribution, a method based on nonlinear prediction of speech signals is proposed for detecting the locations of the instances of glottal closures (GCI). For that purpose, feature signals are obtained from the nonlinear prediction of speech using a sliding window technique. The resulting feature signals show maxima caused by the glottal closures which can be utilized for the GCI detection. To assess the procedure, a speech database with corresponding EGG signals is analyzed providing GCIs as reference.