Title :
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
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;
Conference_Titel :
Neural Networks, 1996., IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3210-5
DOI :
10.1109/ICNN.1996.549135
