DocumentCode
1874581
Title
Change evaluation of Bayesian detector for dysfluent speech assessment
Author
Lustyk, Tomá ; Bergl, Petr ; Cmejla, R. ; VokYál, Jan
Author_Institution
Fac. of Electr. Eng., Czech Tech. Univ. in Prague, Prague, Czech Republic
fYear
2011
fDate
7-8 Sept. 2011
Firstpage
1
Lastpage
4
Abstract
This paper is focused on a parameter which could be used for automatic and objective assessment of dysfluent speech. The measurement is based on the analysis of read audio recordings of stutterers. The designed parameter analyzes the signal in the spectral domain, which correlates with the subjective assessment of two phoniatrics experts with a coefficient of -0.789. A Bayesian change-point detector (BACD) has been used for spectral analysis. This parameter could become a part of an automatic and objective assessment system.
Keywords
audio recording; belief networks; correlation methods; speaker recognition; spectral analysis; speech processing; Bayesian change point detector; automatic assessment; dysfluent speech assessment; objective assessment; parameter analysis; phoniatrics expert; read audio recording; spectral analysis; spectral domain; Bayesian methods; Correlation; Databases; Detectors; Educational institutions; Hidden Markov models; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Electronics (AE), 2011 International Conference on
Conference_Location
Pilsen
ISSN
1803-7232
Print_ISBN
978-1-4577-0315-7
Electronic_ISBN
1803-7232
Type
conf
Filename
6049072
Link To Document