Improvement of Emotion Recognition from Voice by Separating of Obstruents

Previous researchers in the area of emotion recognition have classified emotion from the whole voice. They did not consider that emotion features vary according to the phoneme. Hence, in the present work, we study the characteristics of phonemes in emotion features. Based on the results, we define t...

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Bibliographic Details
Main Authors: Eun Ho Kim, Kyung Hak Hyun, Yoon Keun Kwak
Format: Conference Proceeding
Language:English
Subjects:
Cepstrum
Emotion recognition
Feature extraction
Frequency
Human robot interaction
Intelligent robots
Linear predictive coding
Mechanical engineering
Speech analysis
Speech recognition
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Summary:Previous researchers in the area of emotion recognition have classified emotion from the whole voice. They did not consider that emotion features vary according to the phoneme. Hence, in the present work, we study the characteristics of phonemes in emotion features. Based on the results, we define the obstruents effect, which is a negative effect resulting from increased feature values. We then recognize emotion from the voice by separating obstruents rather than from the whole voice. By separating obstruents, we could improve the emotion recognition rate by about 4.3%
ISSN:1944-9445
1944-9437
DOI:10.1109/ROMAN.2006.314449