• 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