DocumentCode
3062892
Title
The application of fuzzy mathematics to adaptive speech recognition
Author
Shouyong, Wang ; Zhongyuan, Xu
Author_Institution
Radar Acad., Beijing, China
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
497
Lastpage
500
Abstract
This paper discusses speaker-independent isolated word recognition using fuzzy set theory. In the case of a small training sample set, a second-level fuzzy clustering method (clustering algorithm based on a fuzzy equivalent relation combined with the fuzzy ISODATA algorithm) is presented for obtaining initial reference templates. In the course of recognition, the self-updating algorithm of the reference templates and weighted vector is used
Keywords
fuzzy set theory; speech recognition; adaptive speech recognition; clustering analysis; fuzzy ISODATA algorithm; fuzzy mathematics; fuzzy set theory; second-level fuzzy clustering method; self-updating algorithm; small training sample set; speaker-independent isolated word recognition; Clustering algorithms; Clustering methods; Fuzzy set theory; Fuzzy sets; Mathematics; Radar theory; Speech recognition; Symmetric matrices; Vectors; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2920-7
Type
conf
DOI
10.1109/ICPR.1992.202033
Filename
202033
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