• May 27, 2016 News!The submission for Special Issue is officially open now!   [Click]
  • May 03, 2016 News!Vol.6, No.6 has been indexed by EI (Inspec).   [Click]
  • Mar 17, 2017 News!Vol.9, No.2 has been published with online version. 13 peer reviewed articles from 4 specific areas are published in this issue.   [Click]
General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2015 Vol.7(4): 264-267 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2015.V7.968

Toward a Pronunciation Scoring Method Based on Multi-Feature Fusion

Jie Yang
Abstract—Pronunciation scoring tries to evaluate on voice segmentation objectively with related recognition technologies. The voice to be evaluated (VBE) was compared with standard voice (SV) to arrive at a score in accordance with similarity. The system firstly extracted feature parameters from VBE and SV. Two parameters of linear predictive cepstral coefficients (LPCC) and Mel-frequency cepstral coefficients (MFCC) were selected. The distance between SV vector and VBE vector was computed with dynamic time warping (DTW) algorithm. According to scoring formula, the obtained distance was translated into score, which can be regarded as evaluation on VBE. Experiment shows that expert scoring and system scoring have a high correlation by combining LPCC and MFCC.

Index Terms—Pronunciation scoring, feature parameter, dynamic time warping.

Jie Yang is with the Shanghai Second Polytechnic University, China (e-mail: jeanyang1218@hotmail.com).

[PDF]

Cite:Jie Yang, "Toward a Pronunciation Scoring Method Based on Multi-Feature Fusion," International Journal of Computer Theory and Engineering vol. 7, no. 4, pp. 264-267, 2015.

Copyright © 2008-2015. International Journal of Computer Theory and Engineering. All rights reserved.
E-mail: ijcte@vip.163.com