Title :
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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660038
