Journal
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
Volume 10, Issue -, Pages 137-143Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.bspc.2013.12.004
Keywords
Voice quality; Voice diagnosis; Glottal inverse filtering; Glottal excitation; Harmonic and noise components
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This paper presents an algorithm, in the context of speech analysis and pathologic/dysphonic voices evaluation, which splits the signal of the glottal excitation into harmonic and noise components. The algorithm uses a harmonic and noise splitter and a glottal inverse filtering. The combination of these two functionalities leads to an improved estimation of the glottal excitation and its components. The results demonstrate this improvement of estimates of the glottal excitation in comparison to a known inverse filtering method (IAIF). These results comprise performance tests with synthetic voices and application to natural voices that show the waveforms of harmonic and noise components of the glottal excitation. This enhances the glottal information retrieval such as waveform patterns with physiological meaning. (C) 2013 Elsevier Ltd. All rights reserved.
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