A simple tone classifier for Cantonese recognition

Author

Cheng, Y.H. ; Ching, P.C.

Author_Institution

Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong

fYear

1991

fDate

16-17 Jun 1991

Firstpage

18

Abstract

This paper presents a method for tone classification of discrete Cantonese utterance. An in-depth study on the characteristics, properties and variations of different isolated words with the same tone and spoken by various speakers has been carried out. Based on this study, several feature parameters that are pertinent to tone identification were defined. Although some of these parameters are dependent on the intrinsic pitch of the speaker, speaker dependence of the feature set is effectively removed by using a novel intrinsic pitch estimation procedure. A neural net was trained to perform tone classification by utilizing the feature set derived. An average speaker-independent recognition accuracy of around 84% was obtained

Keywords

neural nets; speech recognition; Cantonese recognition; discrete Cantonese utterance; intrinsic pitch estimation; isolated words; neural net; speaker dependence; speaker-independent recognition accuracy; tone classification; tone identification; Feature extraction; Frequency; Loudspeakers; Neural networks; Speech recognition; Tongue;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on

Conference_Location

Shenzhen

Type

conf

DOI

10.1109/CICCAS.1991.184269

Filename

184269