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| Language Identification between Mandarin and English with State Duration Information |
| SUN Jian, WANG ZuoYing |
| 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.
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Received: 12 May 2005
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2006, Vol. 19 
