DocumentCode
3416963
Title
Adaptive template method for speech recognition
Author
Liu, Yadong ; Lee, Yee-Chun ; Chen, Hsing-Hen ; Sun, Guo-Zheng
Author_Institution
Dept. of Phys., Maryland Univ., College Park, MD, USA
fYear
1992
fDate
31 Aug-2 Sep 1992
Firstpage
103
Lastpage
110
Abstract
An adaptive template method for pattern recognition is proposed. The template adaptation algorithm is derived based on minimizing the classification error of the classifier. The authors have applied this method to a multispeaker English E-set recognition experiment and achieved a 90.38% average recognition rate with only one template for each letter. This indicates that the derived templates are able to capture the speaker-invariant features of speech signals
Keywords
speech recognition; classification error; multispeaker English E-set recognition; speaker-invariant features; speech recognition; speech signals; template adaptation algorithm; Adaptive systems; Clustering algorithms; Educational institutions; Pattern recognition; Physics; Spatial databases; Speech analysis; Speech recognition; Sun; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Signal Processing [1992] II., Proceedings of the 1992 IEEE-SP Workshop
Conference_Location
Helsingoer
Print_ISBN
0-7803-0557-4
Type
conf
DOI
10.1109/NNSP.1992.253703
Filename
253703
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