English learning system of oral phonation based on phoneme and smart phone platform

Design a software system on smart phone platform. The purpose of this system is providing a reasonable method to evaluate the English accent of non-native speakers, based on the phoneme recognition and fluency assessment, taking advantage of Hidden Markov Model (HMM). Meanwhile, this paper would use...

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Bibliographic Details
Published in2015 7th International Conference on Modelling, Identification and Control (ICMIC) pp. 1 - 8
Main Authors Sun Yutong, Li Xuan
Format Conference Proceeding
LanguageEnglish
Published University of Al Qayrawan, Tunisia 01.12.2015
Subjects
Clustering algorithms
Conferences
Grammar
Hidden Markov models
HMM
Neural net Algorithm
Phoneme Recognition
Speech
Sphinx
Training
Online AccessGet full text
DOI10.1109/ICMIC.2015.7409377

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Summary:Design a software system on smart phone platform. The purpose of this system is providing a reasonable method to evaluate the English accent of non-native speakers, based on the phoneme recognition and fluency assessment, taking advantage of Hidden Markov Model (HMM). Meanwhile, this paper would use the neural net algorithm to combine the objective scoring and experts' scoring to increase the accuracy of the system. Moreover, by using this system, factors which are more important in oral English evaluation can be found.
DOI:10.1109/ICMIC.2015.7409377