Abstract
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.
