Analysis of acoustic voice parameters for larynx pathology detection

Analysis of acoustic voice parameters for larynx pathology detection

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) wa...

Full description

Bibliographic Details
Main Authors: M. I. Vashkevich, A. A. Burak, N. S. Kanoika, V. S. Daldova
Format: Article
Language:Russian
Published: The United Institute of Informatics Problems of the National Academy of Sciences of Belarus 2020-03-01
Series:Informatika
Subjects:
voice analysis
acoustic voice parameters
cepstral analysis
voice pathology detection
logistic regression
Online Access:https://inf.grid.by/jour/article/view/893

Similar Items

Similar Items