Spectral perturbation parameters for voice pathology detection

Author

Gomez, P. ; Diaz, Francesc ; Lazaro, C. ; Murphy, Kristen ; Martinez, Ricardo ; Rodellar, V. ; Alvarez, Alfredo

Author_Institution

Univ. Politecnica de Madrid, Spain

Volume

1

fYear

2005

fDate

14-15 July 2005

Firstpage

299

Abstract

In recent years special emphasis has been placed upon the early detection of voice pathologies by using the signal processing of voice to evaluate certain time and spectrum domain parameters which may infer the presence of pathology. The present work is aimed at establishing the suitability of these voice spectral parameters in determining a clear distinction between pathologic and normophonic voice, and to further classify the specific patient´s pathology. Principal component analysis will be used in parameter pruning. Results for normal and pathological cases will be presented and discussed.

Keywords

principal component analysis; signal processing; speech; speech processing; speech synthesis; normophonic voice; pathologic voice; principal component analysis; signal processing; spectral perturbation parameters; voice pathology detection; Apertures; Costs; Inspection; Jitter; Pathology; Power system harmonics; Principal component analysis; Professional activities; Signal processing; Speech processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Circuits and Systems, 2005. ISSCS 2005. International Symposium on

Print_ISBN

0-7803-9029-6

Type

conf

DOI

10.1109/ISSCS.2005.1509913

Filename

1509913