ACCELERATION IN STATE-OF-THE-ART ASR APPLIED TO A VIETNAMESE TRANSCRIPTION SYSTEM

Nhut Minh Pham, Vũ Hải Quân
Author affiliations

Authors

  • Nhut Minh Pham HCMC University of Science
  • Vũ Hải Quân HCMC University of Science

DOI:

https://doi.org/10.15625/1813-9663/34/4/13181

Keywords:

Vietnamese automatic speech recognition, transcription system

Abstract

This paper presents the adoption of state-of-the-art ASR techniques into Vietnamese. To better assess these techniques, speech corpora in the research community are assembled, and expanded, making a unified evaluation material under the name VN-Corpus. On this corpus, three ASR systems are built using the conventional HMM-GMM recipe, SGMM, and DNN respectively. Experimental results crown DNN with the overall WER of 12.1%. In the best case, DNN even cut down to 9.7% error rate.

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References

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Published

30-01-2019

How to Cite

[1]
N. M. Pham and V. H. Quân, “ACCELERATION IN STATE-OF-THE-ART ASR APPLIED TO A VIETNAMESE TRANSCRIPTION SYSTEM”, JCC, vol. 34, no. 4, p. 365–372, Jan. 2019.

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Section

Computer Science