Vietnamese recognition using tonal phoneme based on multi space distribution

Nguyen Van Huy; Luong Chi Mai; Vu Tat Thang; Do Quoc Truong

doi:10.15625/1813-9663/30/1/3553

Vietnamese recognition using tonal phoneme based on multi space distribution

Nguyen Van Huy, Luong Chi Mai, Vu Tat Thang, Do Quoc Truong

Author affiliations

Authors

Nguyen Van Huy Electronic faculty, Thai Nguyen University of Technology, VietNam
Luong Chi Mai Institute of Information Technology, Vietnam Academy of Sience and Technology, Vietnam
Vu Tat Thang Institute of Information Technology, Vietnam Academy of Sience and Technology, Vietnam
Do Quoc Truong Graduate School of Information Science, Nara Institute of Science and Technology, Japan

DOI:

https://doi.org/10.15625/1813-9663/30/1/3553

Keywords:

Multi Space Distribution, tone recognition, Vietnamese recognition, pitch feature

Abstract

This paper presents an approach of Multi Space Distribution Hidden Markov Model (MSD-HMM) for Vietnamese recognition. An MSD-HMM prototype with four independent streams is proposed for modeling the Vietnamese phonemes which embedded tonal information corresponding to its syllable. These phonemes are built by adding tonal symbol to each phoneme syllables based on the International Phonetic Alphabet (IPA). This approach improves 2.49% accuracy compared to the baseline system. A process of tonal feature extraction that is suitable for modeling by MSD-HMM is also described. The result shows that the performance of MSD-HMM and tonal phoneme is better than the baseline system, and the tonal phoneme and tonal feature are important components for Vietnamese recognition.

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Published

13-05-2014

How to Cite

[1]

N. V. Huy, L. C. Mai, V. T. Thang, and D. Q. Truong, “Vietnamese recognition using tonal phoneme based on multi space distribution”, JCC, vol. 30, no. 1, pp. 28–38, May 2014.

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Issue

Vol. 30 No. 1 (2014)

Section

Computer Science

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