BIP! Finder - Analysis of acoustic voice parameters for larynx pathology detection

2020 • Analysis of acoustic voice parameters for larynx pathology detection

Authors: M. I. Vashkevich, A. A. Burak, N. S. Kanoika, V. S. Daldova

Venue: Informatics

Type: Article

Abstract: The comparative study of two types of voice signal representation for larynx pathology detection is presented. Parameters obtained in clinical system lingWaves compared to parameters obtained by mel-frequency cepstral analysis. The classifier based on the probabilistic model (logistic regression) was designed to determine the suitability of given parameters for the larynx pathology detection problem. To train the classifier, the base of voice samples of 60 persons was recorded, 30 of which constitute the control group, and the other 30 had vari... (read more)

Topics: Speech recognition

DOI: 10.37661/1816-0301-2020-17-1-78-86

BIP! social metrics: 0 3
External links: Crossref , OpenAIRE

References (3) Citations (0) BibTex PDF

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