Frame-Based Acoustic Cues of Vocal Dysperiodicity in Connected Speech

Author

Kacha, A. ; Grenez, F. ; Schoentgen, J.

Author_Institution

Dept. of Waves & Signals, Univ. Libre de Bruxelles, Brussels

Volume

1

fYear

2006

fDate

14-19 May 2006

Abstract

Acoustic analysis of connected speech is carried out by means of a generalized variogram to extract vocal dysperiocities. A segmental signal-to-dysperiodicity ratio (SDRSEG) is used to predict the perceived degree of hoarseness. The corpora comprise four French sentences as well as vowels [a] produced by 22 male and female normophonic and dysphonic speakers. It is shown that the average SDRSEG correlates better with perceptual scores of hoarseness than the global signal-to-dysperiodicity ratio (SDR). The perceptual scores are based on comparative judgments by six listeners of pairs of speech samples. In addition, multiple linear regression analysis of four statistical descriptors of SDRSEG is performed to gauge whether higher-order statistics are valid predictors of perceived hoarseness

Keywords

acoustics; higher order statistics; regression analysis; speech processing; connected speech; dysphonic speakers; frame-based acoustic cues; higher-order statistics; multiple linear regression analysis; normophonic speakers; segmental signal-to-dysperiodicity ratio; statistical descriptors; vocal dysperiodicity; Acoustic noise; Acoustic waves; Additive noise; Linear regression; Loudspeakers; Noise level; Performance analysis; Predictive models; Signal analysis; Speech analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660038

Filename

1660038