Abstract
In this paper we present our work about Computer Based Speech Therapy systems optimization. We focus especially on using a fuzzy expert system in order to determine specific parameters of personalized therapy, i.e. the number, length and content of training sessions. The efficiency of this new approach was tested during an experiment performed with our CBST, named LOGOMON.
Keywords
Cite this article
@article{cai-18119,
author = {Ovidiu-Andrei Schipor and Stefan-Gheorghe Pentiuc and Maria-Doina Schipor},
title = {Improving Computer Based Speech Therapy Using a Fuzzy Expert System},
journal = {Computing and Informatics},
volume = {29},
number = {2},
pages = {303--318},
year = {2010},
issn = {1335-9150},
url = {https://cai.type.sk/content/2010/2/improving-computer-based-speech-therapy-using-a-fuzzy-expert-system/}
}
TY - JOUR AU - Ovidiu-Andrei Schipor AU - Stefan-Gheorghe Pentiuc AU - Maria-Doina Schipor TI - Improving Computer Based Speech Therapy Using a Fuzzy Expert System JO - Computing and Informatics VL - 29 IS - 2 SP - 303 EP - 318 PY - 2010 SN - 1335-9150 UR - https://cai.type.sk/content/2010/2/improving-computer-based-speech-therapy-using-a-fuzzy-expert-system/ KW - Computer based speech therapy KW - fuzzy expert system KW - personalized therapy KW - exercises for dyslalia ER -
Schipor, O., Pentiuc, S., & Schipor, M. (2010). Improving Computer Based Speech Therapy Using a Fuzzy Expert System. Computing and Informatics, 29(2), 303–318. https://cai.type.sk/content/2010/2/improving-computer-based-speech-therapy-using-a-fuzzy-expert-system/