Presentation 2000/12/14
An investigation on discrimination among emotion expressions contained in speech
Nobuaki Kadotani, Hirotomo Aso, Motoyuki Suzuki, Shozo Makino,
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Abstract(in English) This paper describes the discrimination among emotion expressions contained in speech. At first, we investigated an influence of these emotion expressions (anger, pleasure and sadness) on performance of continuous speech recognition system using 1040 sentences uttered by 13 speakers. We found that those three emotions gave 10% to 20% down on the performance. Next, we investigated effective parameters for discrimination among emotions. Based on canonical discriminant analysis, the following parameter are effective for all speakers : maximum fundamental frequency, maximum power and variation range of fundamental frequency. Discriminant rates for all speakers decrease in order of anger (61.4%), pleasure (53.1%) and sadness (45.8%). On the other hand, we also found that contribution rate of these parameters is different dependent on speaker characteristics.
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Keyword(in English) fundamental frequency / emotion discrimination / discriminant analysis
Paper # NLC2000-34,SP2000-82
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Committee NLC
Conference Date 2000/12/14(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An investigation on discrimination among emotion expressions contained in speech
Sub Title (in English)
Keyword(1) fundamental frequency
Keyword(2) emotion discrimination
Keyword(3) discriminant analysis
1st Author's Name Nobuaki Kadotani
1st Author's Affiliation Graduate School of Engineering, Tohoku University()
2nd Author's Name Hirotomo Aso
2nd Author's Affiliation Graduate School of Engineering, Tohoku University
3rd Author's Name Motoyuki Suzuki
3rd Author's Affiliation Computer Center, Tohoku University
4th Author's Name Shozo Makino
4th Author's Affiliation Computer Center, Tohoku University
Date 2000/12/14
Paper # NLC2000-34,SP2000-82
Volume (vol) vol.100
Number (no) 520
Page pp.pp.-
#Pages 6
Date of Issue