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Self-Organizing Maps For Identifying Impaired SpeechGRIGORE, O. , VELICAN, V.
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speech processing, impaired speech evaluation, self-organizing maps
speech(14), link(9), grigore(9), processing(7), system(6), therapy(5), schipor(5), language(4), impaired(4)
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About this article
Date of Publication: 2011-08-31
Volume 11, Issue 3, Year 2011, On page(s): 41 - 48
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.03007
Web of Science Accession Number: 000296186700007
SCOPUS ID: 80055081886
This paper presents a method of identifying heavily impaired pronunciations of 'r' consonant in Romanian language using Kohonen neural networks. The study focused on words that contain 'r' as the first letter and used signals recorded mainly from children, as mispronunciations occur most of the time at young age persons. Parameters of the alternating component of each speech sample's envelope are used as feature vectors in the classification stage.
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 O. Grigore, V. Velican, "Simple Method of Identifying Impaired Speech", in Proceedings of the International Conference on Multimedia and Signal Processing 2011, to be published
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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