Cubic SVM Classifier Based Feature Extraction and Emotion Detection from Speech Signals
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Cites background from "Cubic SVM Classifier Based Feature ..."
...In multidimensional space, a hyperplane, which separates the classes into the best possible way [25], was found....
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Cites methods from "Cubic SVM Classifier Based Feature ..."
...By using the hyperplane, we able to separate the multidimensional space classes in the best possible way [32]....
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References
1,862 citations
"Cubic SVM Classifier Based Feature ..." refers background in this paper
...The four basic classes of emotions analyzed in this paper are given as anger, happiness, sadness and neutral [7]....
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215 citations
"Cubic SVM Classifier Based Feature ..." refers background in this paper
...SVM finds a hyperplane in multidimensional space which divides the classes into best possible way [19]....
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206 citations
"Cubic SVM Classifier Based Feature ..." refers background in this paper
...The standard pitch value for females varies from 165Hz to 255Hz while in the case of male voice it varies from 80 to 180 Hz [3]....
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"Cubic SVM Classifier Based Feature ..." refers background in this paper
...Mel-frequency Cepstrum Coefficients (MFCC): MFCC gives high accuracy in the classification because this system considers human perception sensitivity regarding frequency for the recognition [15]....
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