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
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