DocumentCode
177749
Title
Vowel-reduction feedback system for non-native learners of English
Author
Jeesoo Bang ; Kyusong Lee ; Seonghan Ryu ; Lee, Gwo Giun
Author_Institution
Dept. of Comput. Sci. & Eng., Pohang Univ. of Sci. & Technol., Pohang, South Korea
fYear
2014
fDate
4-9 May 2014
Firstpage
935
Lastpage
939
Abstract
In spoken English, vowels in non-stressed syllables are often reduced to a brief neutral vowel (e.g, e or ι). Non-native speakers of English may not use this `vowel reduction´ correctly, so their utterances may sound unnatural. We propose an automatic system to provide feedback about vowel-reduction to non-native speakers of English. The system has three parts: it predicts vowel reduction, detects vowel reduction in speech, compares the prediction to the detected sound to generate a score then uses this score to provide corrective feedback to the speaker. The system had good accuracy and provided positive learning results for the user. The proposed system can be used as a part of a computer-assisted language learning system.
Keywords
feedback; learning (artificial intelligence); speech processing; CALL system; computer-assisted language learning system; nonnative english learner; nonnative english speaker; nonstressed syllable; speech detection; vowel reduction prediction; vowel-reduction feedback system; Accuracy; Acoustics; Analytical models; Conferences; Predictive models; Speech; Stress; CALL; CAPT; language assessment; vowel non-reduction; vowel-reduction training;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location
Florence
Type
conf
DOI
10.1109/ICASSP.2014.6853734
Filename
6853734
Link To Document