AUTOMATIC IDENTIFICATION OF VIETNAMESE DIALECTS

Pham Ngoc Hung; Trinh Van Loan; Nguyen Hong Quang

doi:10.15625/1813-9663/32/1/7905

Author affiliations

Authors

Pham Ngoc Hung Faculty of Information Technology, Hungyen University of Technology and Education, Hungyen, Vietnam
Trinh Van Loan School of Information and Communication Technology, Hanoi University of Science and Technology
Nguyen Hong Quang School of Information and Communication Technology, Hanoi University of Science and Technology

DOI:

https://doi.org/10.15625/1813-9663/32/1/7905

Keywords:

Fundamental frequency, MFCC, GMM, Vietnamese dialects, identification

Abstract

The dialect identification was studied for many languages over the world nevertheless the research on signal processing for Vietnamese dialects is still limited and there were not many published works. There are many different dialects for Vietnamese. The influence of dialectal features on speech recognition systems is important. If the information about dialects is known during speech recognition process, the performance of recognition systems will be better because the corpus of these systems is normally organized according to different dialects. This paper will present the combination of MFCC coefficients and fundamental frequency features of Vietnamese for dialectal identification based on GMM. The experiment result for the dialect corpus of Vietnamese shows that the performance of dialectal identification is increased from 59% for the case using only MFCC coefficients to 71% for the case using MFCC coefficients and the information of fundamental frequency.

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