A model-based tone labeling method for Min-Nan/Taiwanese speech

Author

Kuo, Wei-Chih ; Wang, Yih-Ru ; Chen, Sin-Horng

Author_Institution

Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

Volume

1

fYear

2004

fDate

17-21 May 2004

Abstract

A model-based tone labeling method for Min-Nan/Taiwanese speech is proposed. It takes the mean and shape of syllable pitch contours as two modeling units and considers some major affecting factors that control their variations. By using the EM algorithm to estimate all parameters of the pitch mean and shape models from a speech database, we can decide the best tone sequences pronounced in all utterances of the database. Experimental results show that it outperforms the VQ classification method which suffers from the interference resulting from neighboring syllables and from the global prosodic phrase patterns.

Keywords

natural languages; optimisation; parameter estimation; speech processing; EM algorithm; Min-Nan/Taiwanese speech; VQ classification; automatic speech recognition; global prosodic phrase patterns; parameter estimation; pitch mean; pitch shape; speech database; syllable pitch contours; text-to-speech; tone labeling method; tone sequences; Automatic speech recognition; Decoding; Error correction; Interference; Labeling; Natural languages; Parameter estimation; Shape control; Spatial databases; Speech synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8484-9

Type

conf

DOI

10.1109/ICASSP.2004.1326033

Filename

1326033