Presentation 1997/1/24
Discriminating Emotions intended in Speech
Toshiyuki Shirasawa, Tsuyoshi Yamamura, Toshimitsu Tanaka, Noboru Ohnishi,
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Abstract(in English) In this paper, we discriminated speaker's emotions in speech by multivariate analysis. We extracted prosody components, such as temporal structure, amplitude structure and pitch stricture, from 224 speech samples, representing suitably speaker's emotions. As features representing emotion, we adopted statistics and temporal patterns of prosody components, for which pitch exists, and temporal structures independent of word's length. We calculated Mahalanobis' distance of the principal components of these features and conducted discrimination of emotions independent of words and speakers. As a result 204 speech samples (92.0%) are classified into emotion to which they should belong. Furthermore, we could almost correctly discriminate such emotion as "Anger" and "Joy", which couldn't be distinguished by conventional researches.
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Keyword(in English) Kansei information / emotion / speech / multivariate analysis / human interface
Paper # HIP96-38
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Committee HIP
Conference Date 1997/1/24(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Discriminating Emotions intended in Speech
Sub Title (in English)
Keyword(1) Kansei information
Keyword(2) emotion
Keyword(3) speech
Keyword(4) multivariate analysis
Keyword(5) human interface
1st Author's Name Toshiyuki Shirasawa
1st Author's Affiliation Graduate School of Engineering Nagoya University()
2nd Author's Name Tsuyoshi Yamamura
2nd Author's Affiliation Graduate School of Engineering Nagoya University
3rd Author's Name Toshimitsu Tanaka
3rd Author's Affiliation Computation Center Nagoya University
4th Author's Name Noboru Ohnishi
4th Author's Affiliation Graduate School of Engineering Nagoya University:RIKEN BMC Research Center
Date 1997/1/24
Paper # HIP96-38
Volume (vol) vol.96
Number (no) 499
Page pp.pp.-
#Pages 6
Date of Issue