Using tone information for Vietnamese continuous speech recognition

Author

Hong Quang Nguyen ; Nocera, P. ; Castelli, Eric ; Van Loan Trinh

Author_Institution

Lab. Inf. d´Avignon LIA, UAPV, Avignon

fYear

2008

fDate

13-17 July 2008

Firstpage

103

Lastpage

106

Abstract

This paper presents our study on the use of tone information in a large vocabulary for a Vietnamese continuous speech recognition system. Firstly, a new module of tone recognition using Hidden Markov model is presented. Then, a new methodology for integrating this module into the Speeral system is given. The experiments were implemented on VNSpeechCorpus. The results showed that the direct use of tone score in the Speeral system would increase the performance of the system, e.g., 28.6% relative reduction in word error rate.

Keywords

hidden Markov models; natural language processing; speech recognition; Speeral system; VNSpeechCorpus; Vietnamese continuous speech recognition; hidden Markov model; tone recognition; word error rate; Dictionaries; Error analysis; Frequency; Hidden Markov models; Indium phosphide; Natural languages; Power system modeling; Speech recognition; Statistical analysis; Vocabulary; Vietnamese speech; energy normalization; pitch contour; pitch normalization of tone; tone recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Research, Innovation and Vision for the Future, 2008. RIVF 2008. IEEE International Conference on

Conference_Location

Ho Chi Minh City

Print_ISBN

978-1-4244-2379-8

Electronic_ISBN

978-1-4244-2380-4

Type

conf

DOI

10.1109/RIVF.2008.4586340

Filename

4586340