DocumentCode :
2961645
Title :
Optimized group delay based estimation of glottal closure instants
Author :
Turajlic, E. ; Bozanovic, O.
Author_Institution :
Dept. of Comput. Sci., Sarajevo Sch. of Sci. & Technol., Sarajevo, Bosnia-Herzegovina
fYear :
2012
fDate :
25-27 Oct. 2012
Firstpage :
1
Lastpage :
6
Abstract :
Sophisticated voice source estimation techniques, such as closed-phase pitch synchronous inverse filtering method, relay on accurate estimates of glottal closure instants (GCIs). In this paper, a group delay approach to GCI estimation is presented. Specifically, the average group delay and the energy weighted group delay measures are discussed in detail. We propose an improvement to the implementation of the group delay measures, whereby translation invariant thresholding is used to remove aspiration noise and other disturbances from the LPC residue instead of the standard 2nd order Butterworth low-pass filter. The performances of the two group delay measures with and without the proposed improvement are evaluated for a range of fixed and pitch-synchronous group delay window lengths. The results show that the optimal GCI estimation performance is achieved with the energy weighted group delay measure, translation invariant thresholding of LPC and the window length equaling exactly one pitch period.
Keywords :
low-pass filters; speech processing; 2nd order Butterworth low-pass filter; LPC residue; aspiration noise; closed-phase pitch synchronous inverse filtering method; energy weighted group delay measures; glottal closure instants; group delay measures; optimal GCI estimation performance; optimized group delay based estimation; sophisticated voice source estimation techniques; speech processing applications; window length equaling; Accuracy; Acoustic measurements; Delay; Energy measurement; Estimation; Noise; Weight measurement; speech analysis; speech processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications (BIHTEL), 2012 IX International Symposium on
Conference_Location :
Sarajevo
Print_ISBN :
978-1-4673-4875-1
Electronic_ISBN :
978-1-4673-4874-4
Type :
conf
DOI :
10.1109/BIHTEL.2012.6412080
Filename :
6412080
Link To Document :
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