Presentation 2012-06-14
Feature Analyses of Japanese Language Spoken by Chinese and A Method for Its Automatic Recognition
Xin LI, Kaoru ARAKAWA,
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Abstract(in English) A method to improve the recognition rate of Japanese language spoken by Chinese people is proposed. When automatic speech recognition is applied to Japanese language spoken by Chinese people, the recognition rate is low compared with that by Japanese. Feature analyses show that the duration of vowels is longer in Chinese speech than in Japanese, which causes degradation in recognition rate. In this paper, a method to improve the recognition rate is proposed by shortening the length of vowels on the time axis as preprocessing. The high performance of the new speech recognition system is verified for actual Chinese speeches.
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Keyword(in English) Speech Recognition / Chinese Speech / Japanese Language / Vowel / Feature Analyses
Paper # SIS2012-7
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Committee SIS
Conference Date 2012/6/7(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Feature Analyses of Japanese Language Spoken by Chinese and A Method for Its Automatic Recognition
Sub Title (in English)
Keyword(1) Speech Recognition
Keyword(2) Chinese Speech
Keyword(3) Japanese Language
Keyword(4) Vowel
Keyword(5) Feature Analyses
1st Author's Name Xin LI
1st Author's Affiliation Department of Computer Science, Meiji University()
2nd Author's Name Kaoru ARAKAWA
2nd Author's Affiliation Department of Computer Science, Meiji University
Date 2012-06-14
Paper # SIS2012-7
Volume (vol) vol.112
Number (no) 78
Page pp.pp.-
#Pages 5
Date of Issue