Objective Evaluation System of English Phonemes
نویسندگان
چکیده
Nowadays it is quite difficult for the traditional teaching methods and resources to meet the widespread and urgent needs of spoken English learning. Computer-assisted Language Learning (CALL) technology can greatly improve the efficiency of language self-learning, providing timely, accurate and objective assessment and feedback which can help learners to find the difference between their own pronunciations and the standard pronunciations, and then correct their own pronunciations. This paper presents an objective evaluation system about English phoneme pronunciation. This system can give an objective evaluation and feedback about student's pronunciation by analyzing the waveform and calculating the Mel Mel-Frequency Cepstrum Coefficients (MFCC) Euclidean distance between student's pronunciation and standard pronunciation using the Dynamic Time Warping (DTW) algorithm, to help students learn English phonemes with no teacher involved.
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