Voice Disorder Classification Based on Multitaper Mel Frequency Cepstral Coefficients Features
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-22
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The Mel Frequency Cepstral Coefficients (MFCCs) are widely used in order to extract essential information from a voice signal and became a popular feature extractor used in audio processing.
However, MFCC features are usually calculated from a single window (taper) characterized by large variance.
This study shows investigations on reducing variance for the classification of two different voice qualities (normal voice and disordered voice) using multitaper MFCC features.
We also compare their performance by newly proposed windowing techniques and conventional single-taper technique.
The results demonstrate that adapted weighted Thomson multitaper method could distinguish between normal voice and disordered voice better than the results done by the conventional single-taper (Hamming window) technique and two newly proposed windowing methods.
The multitaper MFCC features may be helpful in identifying voices at risk for a real pathology that has to be proven later.
American Psychological Association (APA)
Eskidere, Ömer& Gürhanlı, Ahmet. 2015. Voice Disorder Classification Based on Multitaper Mel Frequency Cepstral Coefficients Features. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1058047
Modern Language Association (MLA)
Eskidere, Ömer& Gürhanlı, Ahmet. Voice Disorder Classification Based on Multitaper Mel Frequency Cepstral Coefficients Features. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1058047
American Medical Association (AMA)
Eskidere, Ömer& Gürhanlı, Ahmet. Voice Disorder Classification Based on Multitaper Mel Frequency Cepstral Coefficients Features. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1058047
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1058047