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Journal of Signal Processing
Vol. 17 (2013) No. 4 Special Issue on Papers Awarded the Student Paper Award at NCSP'13 p. 151-154

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http://doi.org/10.2299/jsp.17.151


In this paper, we propose a sound-quality-evaluation system using an electroencephalogram (EEG) and a group method of data handling (GMDH) type neural network. EEGs are used in various applications, and we focus on sound quality evaluation. We prepared EEG samples to train a GMDH-type neural network to recognize 3 typical types of sound that were used to create the training data. The results showed that using the GMDH-type neural network improved the recognition rate compared with other methods.

Copyright © 2013 Research Institute of Signal Processing, Japan

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