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- W2057236162 abstract "The following paper examines a possibility of applying phone-pronunciation variability descriptors in emotion classification. The proposed group of descriptors comprises a set of statistical parameters of Poincare maps, which are derived for evolution of formant-frequencies and energy of voiced-speech segments. Poincare maps are represented by means of four different parameters that summarize various aspects of plot's scatter. It has been shown that incorporation of the proposed features into a set of commonly-used emotional-speech descriptors, results in a substantial, ten-percent increase in emotion classification performance — recognition rates are at the order of 80% for six-category, speaker independent experiments." @default.
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- W2057236162 date "2009-07-01" @default.
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- W2057236162 title "Application of voiced-speech variability descriptors to emotion recognition" @default.
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- W2057236162 doi "https://doi.org/10.1109/cisda.2009.5356537" @default.
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