Presentation 2013-06-14
Efficiency Improvement in Dynamic Time Warping Algorithms for Isolated Word Recognition
Xihao SUN, Yoshikazu MIYANAGA,
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Abstract(in English) Dynamic time warping (DTW) is a popular automatic speech recognition (ASR) method based on template matching. DTW algorithm compares the parameters of an unknown word with the parameters of one reference template. But the recognition rate is limited. To increase the number of reference templates for the same word will improve the recognition rate, but it will lead to spend a lot of computing time and memory resource. In this paper we proposed a method to reduce the number of reference templates, thus reduces the computing time and memory resource and also keep the high recognition rate.
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Keyword(in English) DTW / computing time / memory resource
Paper # SIS2013-13
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Committee SIS
Conference Date 2013/6/6(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Efficiency Improvement in Dynamic Time Warping Algorithms for Isolated Word Recognition
Sub Title (in English)
Keyword(1) DTW
Keyword(2) computing time
Keyword(3) memory resource
1st Author's Name Xihao SUN
1st Author's Affiliation Graduate School of Information Science and Technology()
2nd Author's Name Yoshikazu MIYANAGA
2nd Author's Affiliation Graduate School of Information Science and Technology
Date 2013-06-14
Paper # SIS2013-13
Volume (vol) vol.113
Number (no) 78
Page pp.pp.-
#Pages 4
Date of Issue