Acoustic features of anger utterances during natural dialog
نویسندگان
چکیده
This report focuses on an automatic estimation of speakers’ anger emotion degree. Two kinds of pseudo-dialogs were held to collect spontaneous anger utterances during the natural Japanese dialog. In order to quantify the anger degree of utterances, a six-scale subjective evaluation was conducted to grade every utterance according to an anger emotion degree by twelve evaluators. With this data set, acoustic features of each utterance were examined to clarify what is the clue to estimate degree of anger utterances. To examine the possibility of automatic emotion estimation, we conducted experiment to estimate the degree of anger emotion automatically by multiple regression analysis using the acoustic parameters.
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