Automatic scoring on english passage reading quality

Authors:
Junbo Zhang;Fuping Pan;Yongyong Yan
Affiliations:
The Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China;The Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China;The Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China
Venue:
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part II
Year:
2012

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Abstract

In this paper, the computer automatic scoring for English discourse oral reading was studied. We analyzed the oral reading voices with speech recognition technology, and extracted a series of features in terms of pronunciation and fluency, and then mapped these features to scores. In the testing of English discourse oral reading for 4000 middle school students, the average scoring difference between machine and human teacher was 0.66, while the scoring difference in human teachers was 0.57. The experience result shows that this system can be used in practice.