DocumentCode
3282102
Title
On the use of neural networks and fuzzy logic in speech recognition
Author
Amano, Akio ; Aritsuka, Toshiyuki ; Hataoka, Nobuo ; Ichikawa, Akira
Author_Institution
Hitachi Ltd., Tokyo, Japan
fYear
1989
fDate
0-0 1989
Firstpage
301
Abstract
A rule-based phoneme recognition method is proposed. This method uses neural networks for acoustic feature detection and fuzzy logic for the decision procedure. Rules for phoneme recognition are prepared for each pair of phonemes (pair-discrimination rules). Recognition experiments were performed using Japanese city names uttered by two male speakers. About 80% of the errors occurring in conventional template matching, which the discrimination rules were designed to recover, were in fact recovered (an improvement in recognition rate of 4.0 to 8.0%). This confirms the effectiveness of the proposed method.<>
Keywords
fuzzy logic; neural nets; speech recognition; Japanese city names; acoustic feature detection; decision procedure; fuzzy logic; male speakers; neural networks; pair-discrimination rules; recognition rate; rule-based phoneme recognition; speech recognition; template matching; Fuzzy logic; Neural networks; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location
Washington, DC, USA
Type
conf
DOI
10.1109/IJCNN.1989.118595
Filename
118595
Link To Document