DocumentCode :
699770
Title :
Voice source parameters estimation by fitting the glottal formant and the inverse filtering open phase
Author :
Drugman, Thomas ; Dubuisson, Thomas ; D´Alessandro, Nicolas ; Moinet, Alexis ; Dutoit, Thierry
Author_Institution :
Electr. Dept., Fac. Polytech. de Mons, Mons, Belgium
fYear :
2008
fDate :
25-29 Aug. 2008
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents two approaches to the problem of extracting the parameters of the LF source model directly from the speech waveform. The first approach relies on the glottal formant estimated from the anticausal contribution of speech. Indeed the ZZT technique has recently shown its ability to deconvolve speech into its causal and anticausal components. The second method is based on the glottal open phase obtained by inverse filtering. The notion of unanalyzable frames and the way to detect and correct them are also presented. Once source parameters are extracted, the coefficients of the ARX speech production model are estimated by spectral division. Decomposition on both synthetic and natural speech, as well as an analysis-synthesis test confirm the accuracy of methods exposed.
Keywords :
Z transforms; deconvolution; filtering theory; parameter estimation; speech processing; ARX speech production model; LF source model; ZZT technique; analysis-synthesis test; anticausal components; causal components; glottal formant fitting; glottal open phase inverse filtering; natural speech; source parameter extraction; spectral division; speech deconvolution; speech waveform; synthetic speech; voice source parameter estimation; zeros of the Z-transform; Estimation; Europe; Hidden Markov models; Mathematical model; Measurement uncertainty; Signal processing; Speech;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2008 16th European
Conference_Location :
Lausanne
ISSN :
2219-5491
Type :
conf
Filename :
7080302
Link To Document :
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