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논문 기본 정보

자료유형
학술저널
저자정보
Hemanta Kumar Palo (Siksha ‘O’ Anusandhan University) Mihir Narayana Mohanty (Siksha ‘O’ Anusandhan University)
저널정보
한국산학기술학회 SmartCR Smart Computing Review 제5권 제3호
발행연도
2015.6
수록면
151 - 158 (8page)

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초록· 키워드

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Researchers have put enormous effort in the field of emotional speech detection by characterizing and classifying human emotions. Speech emotions are overlapping, and the taxonomy of emotions is not well defined. The presence of overlapping and emotions with similar features in speech has made developing a detection system intriguing and complex. Confusing and conflicting results reported in literature have made this domain more challenging. Very little has been attempted so far by speech engineers in distinguishing similar emotions. One such issue has been addressed here. The aim of this work is threefold. Initially, speech emotions of a similar nature such as anger and disgust were characterized using the common prosodic features. Secondly, the classification of these emotions was made using a multilayer perceptron network, along with the extracted features. Finally, these emotions were compared against neutral emotions for the characterization and classification, and the final outcome was summarized. We were able to put a boundary between these two similar natured speech emotions, though the difference is insignificant.

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Abstract
INTRODUCTION
MATERIALS AND METHODS
RESULTS AND DISCUSSION
CONCLUSION
References

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