Presentation 2005/5/19
A Study on Feature Values relating to Emotion
Katsuya NAOI, Tetsuya MATSUMOTO, Yoshinori TAKEUCHI, Hiroaki KUDO, Noboru OHNISHI,
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Abstract(in English) This paper investigates feature values relating to emotion in speech. In conventional studies on recognition of speech emotion, a pitch and energy have been used as feature values. There is, however, problem that these features depend on the length of attended words. Then we aim for finding features of speech emotion which don't depend on words. We propose a new feature value of peaks in frequency domain. We conducted two experiments: two-emotion discrimination and four-emotion discrimination by using four emotions of anger, joy, sadness and normal. From the result of two-emotion discrimination, it is said that the proposed feature does not discriminate between normal and sadness, but does joy and sadness. In the experiment of four emotions, the average discrimination rate is 58%, and the rate for joy is 77%. Although the learning was done without considering the length of speech, there is no change in the discrimination rate. This result shows that the proposed feature doesn't depend on spoken words.
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Keyword(in English) signal / emotion recognition / frequency domain / Teager Energy Operator
Paper # HIP2005-7
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Committee HIP
Conference Date 2005/5/19(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Feature Values relating to Emotion
Sub Title (in English)
Keyword(1) signal
Keyword(2) emotion recognition
Keyword(3) frequency domain
Keyword(4) Teager Energy Operator
1st Author's Name Katsuya NAOI
1st Author's Affiliation Graduate school of Information Science, Nagoya University()
2nd Author's Name Tetsuya MATSUMOTO
2nd Author's Affiliation Graduate school of Information Science, Nagoya University
3rd Author's Name Yoshinori TAKEUCHI
3rd Author's Affiliation Information Security Promotion Agency, Nagoya University; BMC Research Center, RIKEN
4th Author's Name Hiroaki KUDO
4th Author's Affiliation Graduate school of Information Science, Nagoya University
5th Author's Name Noboru OHNISHI
5th Author's Affiliation Graduate school of Information Science, Nagoya University
Date 2005/5/19
Paper # HIP2005-7
Volume (vol) vol.105
Number (no) 99
Page pp.pp.-
#Pages 6
Date of Issue