The speech evaluation method of English phoneme mobile learning system

Author

Xiao Jing ; Luo Yong

Author_Institution

Foreign Languages Dept., Jilin Univ., Zhuhai, China

fYear

2014

fDate

29-30 Sept. 2014

Firstpage

546

Lastpage

550

Abstract

An Android based English phoneme mobile learning platform is built in accordance with the characteristics of English speech. The speech evaluation method of feature comparison is created by using Melfrequency Cepstrum Coefficients and adopting dynamic time warping. An empirical study was made to test the effectiveness of the system on phoneme learning. 32 participants received phoneme training in the form of teacher´s instruction and autonomous training through the software. The pre and post test showed their pronunciation improved significantly, Kendall´s W shows that the system possesses high accuracy of grading for the phoneme and words pronunciation. Majority of the participants thought it was useful and convenient.

Keywords

Android (operating system); computer based training; mobile computing; speech processing; Android based English phoneme mobile learning platform; English speech; autonomous training; dynamic time warping; feature comparison; grading accuracy; melfrequency cepstrum coefficients; phoneme training; speech evaluation method; teacher instruction; words pronunciation; Feature extraction; Mobile communication; Smart phones; Speech; Speech processing; Standards; Training; Android; DTW; English phonetic evaluation; MFCC; Mobile learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on

Conference_Location

Ottawa, ON

Type

conf

DOI

10.1109/WARTIA.2014.6976318

Filename

6976318