Automatic Assessment of Pronunciation Quality of Children within Assisted Speech Therapy

Authors

  • O. A. Schipor “Stefan cel Mare” University of Suceava
  • S. G. Pentiuc “Stefan cel Mare” University of Suceava
  • M. D. Schipor “Stefan cel Mare” University of Suceava

DOI:

https://doi.org/10.5755/j01.eee.122.6.1813

Abstract

In this paper we present our results in automatic evaluation of pronunciation quality of children with dyslalia (mispronunciation of specific phonemes). Our aim is to offer real-time, quality feedback so that to reduce the gap between human assisted and artificial speech therapy. We present both theoretical and practical related issues such as: acquisition of data, human scoring, Hidden Markov Models training and classification, and the performances of our system. The obtained results encourage us to continue the development of Logomon – the first computer based speech therapy system for Romanian language. Ill. 1, bibl. 17, tabl. 2 (in English; abstracts in English and Lithuanian).

DOI: http://dx.doi.org/10.5755/j01.eee.122.6.1813

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Published

2012-06-07

How to Cite

Schipor, O. A., Pentiuc, S. G., & Schipor, M. D. (2012). Automatic Assessment of Pronunciation Quality of Children within Assisted Speech Therapy. Elektronika Ir Elektrotechnika, 122(6), 15-18. https://doi.org/10.5755/j01.eee.122.6.1813

Issue

Vol. 122 No. 6 (2012)

Section

SYSTEM ENGINEERING, COMPUTER TECHNOLOGY

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