A Mandarin speech dictation system based on neural network and language processing model

Author

Huang, Chaug-Ching ; Wang, Jhing-Fa ; Lee, Jau-Ylen

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

Volume

40

Issue

3

fYear

1994

fDate

8/1/1994 12:00:00 AM

Firstpage

437

Lastpage

445

Abstract

A user friendly Mandarin speech dictation system based on a neural network and language model is proposed. The proposed network is composed of a dynamic programming model and a Bayesian neural network which can treat the problem of time axis distortion and spectral pattern variation respectively. Besides, a statistical language model with hierarchical syntactical analysis is proposed to map the syllables into Chinese characters. The overall recognition rate of the system can achieve about 88.2%

Keywords

Bayes methods; dictation; dynamic programming; linguistics; natural languages; neural nets; speech recognition; statistical analysis; Bayesian neural network; Chinese character; Mandarin speech dictation system; dynamic programming model; language processing model; recognition rate; spectral pattern variation; statistical language model; syntactical analysis; time axis distortion; Backpropagation; Bayesian methods; Dynamic programming; Educational institutions; Man machine systems; Natural languages; Neural networks; Pattern recognition; Speech processing; Speech recognition;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/30.320825

Filename

320825