From phonology and acoustic properties to automatic recognition of Cantonese

Author

Ching, P.C. ; Lee, Tan ; Zee, Eric

Author_Institution

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

fYear

1994

fDate

13-16 Apr 1994

Firstpage

127

Abstract

Cantonese is a common Chinese dialect used by tens of millions of people residing in Southern China and in Hong Kong. It is a monosyllabic and tonal language and is very different from the Chinese official language, Putonghua or Mandarin. We describe the recent development in designing efficient algorithms based on artificial neural networks for tone classification and syllable recognition of Cantonese. The basic phonological structure together with those acoustic-phonetic features that are essential for Cantonese syllable recognition are also discussed

Keywords

acoustic signal processing; natural languages; neural nets; speech analysis and processing; speech recognition; Cantonese; Chinese dialect; Hong Kong; Southern China; acoustic properties; acoustic-phonetic features; algorithms; artificial neural networks; automatic recognition; monosyllabic language; phonological structure; phonology; syllable recognition; tonal language; tone classification; Acoustical engineering; Algorithm design and analysis; Artificial neural networks; Automatic speech recognition; Dynamic programming; Loudspeakers; Natural languages; Speech recognition; Virtual colonoscopy; Vocabulary;

fLanguage

English

Publisher

ieee

Conference_Titel

Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on

Print_ISBN

0-7803-1865-X

Type

conf

DOI

10.1109/SIPNN.1994.344949

Filename

344949