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Emotion expression is an essential function for dai ly life that can be severely affected some psycholo gical disorders. In this paper we identified seven emotio nal states anger,surprise,sadness ,happiness,fear,d isgust and neutral.The definition of parameters is a cruci al step in the development of a system for emotion analysis.The 15 explored features are energy intens ity,pitch,standard deviation,jitter,shimmer,autocorrelation,noise to h armonic ration,harmonic to noise ration,energy entr opy block,short term energy,zero crossing rate,spectral roll-off,spectral centroid and spectral flux,and f ormants In this work database used is SAVEE(Surrey audio vi sual expressed emotion).Results by using different learning methods and estimation is done by using a confidence interval for identified parameters are compared and explained.The overall experimental res ults reveals that Model 2 and Model 3 give better results than Model 1 using learning methods and es timation shows that most emotions are correctly estimated by using energy intensity and pitch.
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DETECTION THEORY CHAPTER 5
1.
Classification Experiments for
One-Dimensional Stimulus Sets CHAPTER 5, Detection Theory: A User’s Guide
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Two-response classification
- Auditory detection
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Two-response classification
- Auditory detection
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Two-response classification
- Trading relations in speech identification
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N x M
exp : N-1 ROCs, each with M-1 points
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