Parameter extraction of a quantitative intonation model with wavelet analysis and evolutionary optimization

Author

Kruschke, Hans ; Koch, Andreas

Author_Institution

Lab. of Acoust. & Speech Commun., Dresden Univ. of Technol., Germany

Volume

1

fYear

2003

fDate

6-10 April 2003

Abstract

State-of-the-art speech technology requires computation of large amounts of data. This is only possible with reliable algorithms for automatic data analysis. The paper deals with the automatic extraction of the parameters of a quantitative intonation model developed by H. Fujisaki and his coworkers (Joint Conf. of SNLP and Oriental COCOSDA, 2002). For detection of the accent and phrase commands of this model, a frequency analysis based on wavelet transforms is proposed. Furthermore, an evolutionary strategy is used to optimize the model parameters of the obtained first-order approximation. First results show that the quality of the extracted parameters is comparable to reference data.

Keywords

data analysis; natural languages; optimisation; parameter estimation; speech processing; speech synthesis; wavelet transforms; accent commands; automatic data analysis; evolutionary optimization; frequency analysis; parameter extraction; phrase commands; quantitative intonation model; speech synthesis; speech technology; wavelet analysis; wavelet transform; Acoustics; Data analysis; Data mining; Frequency; Laboratories; Oral communication; Parameter extraction; Speech analysis; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1198833

Filename

1198833