Emotional speech classification with prosodic prameters by using neural networks

H. Sato, Y. Mitsukura, M. Fukumi, N. Akamatsu

研究成果: Conference contribution

9 被引用数 (Scopus)

抄録

Interestingly, in order to achieve a new Human Interface such that digital computers can deal with the KASEI information, the study of the KANSEI information processing recently has been approached. In this paper, we propose a new classification method of emotional speech by analyzing feature parameters obtained from the emotional speech and by learning them using neural networks, which is regarded as a KANSEI information processing. In the present research, KANSEI information is usually human emotion. The emotion is classified broadly into four patterns such as neutral, anger, sad and joy. The pitch as one of feature parameters governs voice modulation, and can be sensitive to change of emotion. The pitch is extracted from each emotional speech by the cepstrum method. Input values of neural networks (NNs) are then emotional pitch patterns, which are time-varying. It is shown that NNs can achieve classification of emotion by learning each emotional pitch pattern by means of computer simulations.

本文言語English
ホスト出版物のタイトルANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference
出版社Institute of Electrical and Electronics Engineers Inc.
ページ395-398
ページ数4
ISBN(電子版)1740520610, 9781740520614
DOI
出版ステータスPublished - 2001 1 1
外部発表はい
イベント7th Australian and New Zealand Intelligent Information Systems Conference, ANZIIS 2001 - Perth, Australia
継続期間: 2001 11 182001 11 21

出版物シリーズ

名前ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference

Other

Other7th Australian and New Zealand Intelligent Information Systems Conference, ANZIIS 2001
国/地域Australia
CityPerth
Period01/11/1801/11/21

ASJC Scopus subject areas

  • 情報システム
  • 人工知能

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