DocumentCode
295752
Title
A three-hierarchy neural network structure and its application to the speaker-independent speech recognition of Chinese words
Author
Liqing, Zhou ; Zemin, Liu
Author_Institution
Dept. of Radio Eng., Beijing Univ. of Posts & Telecommun., China
Volume
3
fYear
1995
fDate
Nov/Dec 1995
Firstpage
1278
Abstract
A three-hierarchical structure of neural networks is proposed in this paper. The structure is applied to the speaker-independent speech recognition for Chinese digits 0-9. The experimental result shows that the system gave good performance on persons under test from different provinces speaking the same Chinese words in a normal environment
Keywords
feature extraction; feedforward neural nets; learning (artificial intelligence); speech recognition; Chinese words; endpoint alignment; hierarchical structure; speaker-independent speech recognition; speech parameter extraction; three-hierarchy neural network; Data mining; Data processing; Frequency; Linear predictive coding; Natural languages; Neural networks; Speech analysis; Speech processing; Speech recognition; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-2768-3
Type
conf
DOI
10.1109/ICNN.1995.487340
Filename
487340
Link To Document