publication . Article . 2020

Analysis of acoustic voice parameters for larynx pathology detection

Open Access
  • Published: 01 Mar 2020 Journal: Informatics, volume 17, pages 78-86 (issn: 1816-0301, eissn: 2617-6963, Copyright policy)
  • Publisher: United Institute of Informatics Problems of the National Academy of Sciences of Belarus
Abstract
<jats:p>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 various diseases of the larynx (nodules of the vocal folds, laryngeal paralysis, or functional dysphonia). The resul...
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free text keywords: acoustic voice parameters, voice pathology detection, Cepstrum, Speech recognition, Voice analysis, Cepstral analysis, Larynx, medicine.anatomical_structure, medicine, Computer science, Logistic regression, Vocal folds, Laryngeal paralysis, medicine.disease, Classifier (linguistics), lcsh:Electronic computers. Computer science, lcsh:QA75.5-76.95
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