Automatic Assessment of Pronunciation Quality of Children within Assisted Speech Therapy
DOI:
https://doi.org/10.5755/j01.eee.122.6.1813Abstract
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).Downloads
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
Section
SYSTEM ENGINEERING, COMPUTER TECHNOLOGY
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