NDLI: A Fuzzy Pronunciation Evaluation Model for English Learning

Content Provider	IEEE Xplore Digital Library
Author	Peng-Fei Su Qing-Cai Chen Xiao-Long Wang
Copyright Year	2006
Description	Author affiliation: Shenzhen Graduate Sch., Harbin Inst. of Technol., Shenzhen (Peng-Fei Su; Qing-Cai Chen; Xiao-Long Wang)
Abstract	The evaluation of pronunciation for spoken English is one of the key problems for computer aided spoken language learning. While the most of researchers focus on the improvement of speech recognition to build a reliable evaluation system, there still needs a model that fuses the reliabilities of existing speech processing systems and the learner personalities into the evaluation system. In this paper, the Sugeno integral techniques are introduced to solve this problem. At first, the English phonemes that are hard to be distinguished (HDP) from Chinese language learner are collected and are grouped into different HDP sets. Then, the system reliabilities for distinguishing the phonemes within a HDP set are computed based on the standard speech corpus and are integrated with the phoneme recognition results under the Sugeno integral framework. The fuzzy measures are given for each subset of speech segments that contains at least 10 occurrences of phonemes within a same HDP set. Finally, the linguistic evaluation results are given by the Sugeno integral model based on system reliability and fuzzy measures. The experiment taken on Sphinx-4 shows that, under the 84.7% average recognition rate of the system, our pronunciation evaluation model get reliable and stable results for 3 test corpora
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	2598
Ending Page	2604
File Size	322640
Page Count	7
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258856
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Natural languages Speech recognition Reliability Feedback Speech processing Fuzzy sets Automatic speech recognition Speech analysis Laboratories Fuses Sphinx-4 Pronunciation evaluation Sugeno Integral Hard to be distinguished phonemes
Content Type	Text
Resource Type	Article

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