Sound quality indicating system using EEG and GMDH-type neural network

Kiminobu Nishimura, Yasue Mitsukura

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

In this paper, we propose a sound quality evaluation system using electroencephalogram (EEG) and group method of data handling (GMDH) type neural network. Recently, EEG is used in various applications, and we focus on sound quality evaluation using EEG. We prepared EEG samples to train a GMDH-type neural network to recognise 3 typical types of sound which was used to create the training data. The results showed that using GMDH-type neural network improved recognition rate compared to the other method. Additionally, we repeated simulations by using different parameter of GMDH-type neural network, and the open test results showed the recognition rate variations in different parameter values.

本文言語English
ホスト出版物のタイトル2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
DOI
出版ステータスPublished - 2013 12月 1
イベント2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013 - Kaohsiung, Taiwan, Province of China
継続期間: 2013 10月 292013 11月 1

出版物シリーズ

名前2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013

Other

Other2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
国/地域Taiwan, Province of China
CityKaohsiung
Period13/10/2913/11/1

ASJC Scopus subject areas

  • 情報システム
  • 信号処理

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