A multi-lingual speech recognition system using a neural network approach

Author

Chen, Chih-Yung ; Chih-Yung Chen ; Hwai-Tsu Chan ; Hsu, Fang-Ru ; Yang, Huang-Lin ; Lee, Youn-Gwo

Author_Institution

Dept. of Electr. Eng., Nat. Chung-Cheng Univ., Chia-Yi, Taiwan

Volume

3

fYear

1996

fDate

3-6 Jun 1996

Firstpage

1576

Abstract

A learning vector quantization method based on the dynamic time warping scheme is proposed for the speech recognition. The optimized speech database and adequate time-alignment vector matching can be achieved. The recognition accuracy for different users is improved by adapting the speech database using the learning vector quantization method. An user-friendly software system of the proposed method is implemented to demonstrate the recognition of 200 voice commands. Various languages and dialects can be realized in our system with a high recognition accuracy. The evaluation board of speech recognition using an 8051 microprocessor has been designed for the industrial applications. A pipelined programmable micro-architecture of the speech recognition processor is developed for the high-performance and high-speed recognition system

Keywords

learning (artificial intelligence); microcomputer applications; neural chips; pipeline processing; speech recognition; vector quantisation; 8051 microprocessor; dynamic time warping; learning vector quantization; multilingual speech recognition; neural network; pipelined programmable microarchitecture; time-alignment vector matching; voice commands; Application software; Artificial neural networks; Computer industry; Databases; Laboratories; Microprocessors; Neural networks; Software systems; Speech recognition; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1996., IEEE International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-7803-3210-5

Type

conf

DOI

10.1109/ICNN.1996.549135

Filename

549135