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KMID : 0917520080150020089
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Journal of Speech Sciences
2008 Volume.15 No. 2 p.89 ~ p.97
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Screening of Voice Disorder using Source Parameter Model and Artificial Neural Network
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Pavel Chytil
Misha Pavel
Jo Cheol-Woo
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Abstract
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There is a number of clinical conditions that affect directly or indirectly the physical properties of the vocal folds and thereby the pressure waveforms of elicited sounds. If the relationships between the clinical conditions and the voice quality are sufficiently reliable, it should be possible to detect these diseases or disorders. The focus of this paper is to determine the set of features and their values that would characterize the speaker’s state of vocal folds. To the extent that these features can capture the anatomical, physiological, and neurological aspects of the speaker they can be potentially used to mediate an unobtrusive approach to diagnosis. We will show a new approach to this problem supported with results obtained from two disordered voice corpora.
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KEYWORD
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pathological voice, neural network, disorder, pattern recognition
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