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Please use this identifier to cite or link to this item: http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/13517

Title: A novel approach in continuous speech recognition for vietnamese, an isolating tonal language
Authors: Nguyen H.Q.
Nocera P.
Castelli E.
Van Loan T.
Keywords: Polysyllabic words
Speech recognition
Statistic language model
Tone recognition
Vietnamese speech
Issue Date: 2008
Publisher: INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association
Citation: Volume , Issue , Page 1149-1152
Abstract: This paper proposes a new approach for the integration of the Vietnamese language characteristics into a Large Vocabulary Continuous Speech Recognition System (LVCSR) which was built for some European languages. Firstly, a new module of tone recognition using Hidden Markov model was constructed. Secondly, several methods were applied to transform a text corpus of monosyllabic words into text corpus of polysyllabic words and a statistical language model of polysyllabic words was built by using the new text corpus. Finally, all the knowledge has been included in the LVCSR system so that this system can be adapted for Vietnamese. Experiments are made on the VNSPEECHCORPUS. The results show that the accuracy of Vietnamese recognition system was increased, 46% of relative reduction of the word error rate is obtained by using Vietnamese language characteristics. Copyright © 2008 ISCA.
URI: http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/13517
ISSN: 
Appears in Collections:New - Articles of Universities of Vietnam from Scopus

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