Multidimensional features of emotional speech
نویسندگان
چکیده
The purpose of this study is to investigate the features of emotional speech by means of multidimensional scaling procedure(MDS) based on visual-perceived similarity of vocal parameters. We extracted three vocal parameters (pitch, intensity and spectrogram) from speeches expressed emotions. Three researchers grouped together the cards of parameters in view of visual similarity. According to the result of MDS of spectrogram, we found two dimensions, plesureness(positive-negative) and activation(high activationlow activation), which are similar in structure to auditory perception in vocal emotions. Finally, we concluded that features of spectrogram related to pleasureness.
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