模式识别与人工智能
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  2006, Vol. 19 Issue (5): 567-571    DOI:
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Language Identification between Mandarin and English with State Duration Information
SUN Jian, WANG ZuoYing
Department of Electronic Engineering, Tsinghua Unversity, Beijing 100084

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Abstract  Different languages have different pronunciation rates, so the state duration reflects the pronunciation rate of a language. The phone recognition system and LVCSR (Large Vocabulary Continuous Speech Recognition) system are developed by using DDBHMM (Duration Distribution Based Hidden Markov Model). Both systems are used to identify Mandarin and English. The results prove that DDBHMM describes the state duration accurately and improves the performance of language identification.
Key wordsLanguage Identification      Duration Distribution Based Hidden Markov Model (DDBHMM)      Gauss Mixture Model      Continuous Phone Recognition      Large Vocabulary Continuous Speech Recognition (LVCSR)     
Received: 12 May 2005     
ZTFLH: TP391  
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SUN Jian
WANG ZuoYing
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SUN Jian,WANG ZuoYing. Language Identification between Mandarin and English with State Duration Information[J]. , 2006, 19(5): 567-571.
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http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2006/V19/I5/567
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