DocumentCode
136004
Title
Recognition of pathological voices
Author
Salma, Chekili ; Asma, Belhaj ; Aicha, Bouzid ; Noureddine, Ellouze
Author_Institution
Lab. de Signal, Images et Technol. de l´Inf., Univ. Tunis el Manar, Tunis, Tunisia
fYear
2014
fDate
11-14 Feb. 2014
Firstpage
1
Lastpage
6
Abstract
In this paper, we are interested in recognizing normal and pathological voices using the classification method SVM. In This classification we add to the feature vector composed of MFCC coefficients, delta, delta second, Energy, fundamental frequency, a new parameter called the open quotient. The open quotient is defined as the ratio of the open phase by the mean pitch period. This parameter is calculated using the multiscale product method (MPM). SVM classification is then applied on the Kay Pentax database.
Keywords
feature extraction; speech recognition; support vector machines; Kay Pentax database; SVM; feature vector; mean pitch period; multiscale product method; open phase; open quotient; pathological voices recognition; Databases; Mel frequency cepstral coefficient; Pathology; MFCC; Open quotient; SVM; pathological voices;
fLanguage
English
Publisher
ieee
Conference_Titel
Multi-Conference on Systems, Signals & Devices (SSD), 2014 11th International
Conference_Location
Barcelona
Type
conf
DOI
10.1109/SSD.2014.6808900
Filename
6808900
Link To Document