Automatic Assessment of Pronunciation Quality of Children within Assisted Speech Therapy
Ovidiu-Andrei Schipor, Štefan Gheorghe Pentiuc, M. D. Schipor · Elektronika ir Elektrotechnika · 2012
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