DocumentCode :
3530047
Title :
Glottal closure instant detection using Lines of Maximum Amplitudes (LOMA) of thewavelet transform
Author :
Sturmel, Nicolas ; d´Alessandro, C. ; Rigaud, Francois
Author_Institution :
LIMSI/CNRS, Orsay
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
4517
Lastpage :
4520
Abstract :
The Lines Of Maximum Amplitude (LOMA) of the wavelet transform are used for glottal closure instant detection. Following Kadambe & al. (1992), the wavelet transform modulus maxima can be used for singularity detection. The LOMA method extends this idea. All the lines chaining maxima of a wavelet transform across scales are built. Then a back-tracking procedure allows for selection of the optimal line for each pitch period, the top of which indicates the GCI. The LOMA method is then evaluated by comparing its results to the DYPSA (Naylor & al.) algorithm, with the option of using inverse filtering as preprocessing. The LOMA method compares favorably to DYPSA, particularly on accuracy. One of the advantage of the LOMA method is its ability to deal with variations in the glottal source parameters.
Keywords :
signal detection; speech processing; wavelet transforms; Glottal closure instant detection; back-tracking procedure; lines-of-maximum amplitude; pitch period; singularity detection; speech processing; wavelet transform modulus maxima; Delay; Filtering algorithms; Frequency synthesizers; Linear predictive coding; Nonlinear filters; Robustness; Speech analysis; Speech processing; Speech synthesis; Wavelet transforms; EGG; GCI; Pitch Marks; Wavelet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2009.4960634
Filename :
4960634
Link To Document :
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