Efficiency Improvement in Dynamic Time Warping Algorithms for Isolated Word Recognition
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概要
- 論文の詳細を見る
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.
- 一般社団法人電子情報通信学会の論文
- 2013-06-06
著者
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Miyanaga Yoshikazu
Graduate School Of Engineering Hokkaido University
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MIYANAGA Yoshikazu
Graduate School of Information Science and Technology
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SUN Xihao
Graduate School of Information Science and Technology
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- Efficiency Improvement in Dynamic Time Warping Algorithms for Isolated Word Recognition