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http://dx.doi.org/10.6109/jkiice.2019.23.11.1397

A Study on Improving Speech Recognition Rate (H/W, S/W) of Speech Impairment by Neurological Injury  

Lee, Hyung-keun (Department of Computer Engineering, Kwangwon University)
Kim, Soon-hub (Department of Computer Engineering, Kwangwon University)
Yang, Ki-Woong (Department of Computer Engineering, Kwangwon University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.11, 2019 , pp. 1397-1406 More about this Journal
Abstract
In everyday mobile phone calls between the disabled and non-disabled people due to neurological impairment, the communication accuracy is often hindered by combining the accuracy of pronunciation due to the neurological impairment and the pronunciation features of the disabled. In order to improve this problem, the limiting method is MEMS (micro electro mechanical systems), which includes an induction line that artificially corrects difficult vocalization according to the oral characteristics of the language impaired by improving the word of out of vocabulary. mechanical System) Microphone device improvement. S/W improvement is decision tree with invert function, and improved matrix-vector rnn method is proposed considering continuous word characteristics. Considering the characteristics of H/W and S/W, a similar dictionary was created, contributing to the improvement of speech intelligibility for smooth communication.
Keywords
MEMS microphone; Word selection; speech recognition rate improvement; sound control;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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