|課程，学籍番号，氏名 |課程：情報工学課程， 学籍番号：083447,氏名：LIYANA SAFRA BINTI ZAABAR | |工学分野名：情報処理工学分野 |指導教員名：青野雅樹 | |題 目 和 マレー語と日本語における音声からの感情認識 | |（英 Emotion Recognition across Malay and Japanese Spoken Languages） | |Abstract | |In this study, we report our research on emotion recognition in Malay and Japanese spoken languages. The goal of this study is to attempt to find | |out which features of speech signal could be useful for emotion recognition in both languages. We consider four different types of features for | |speech signal: pitch, formant, intensity, and LTAS (Long Term Average Spectrum), where LTAS is given by the logarithmic power spectral density as a | |function of frequency. | |Based on the above features, we conducted experiments using recorded voices with six different emotions (i.e. joy, sadness, fear, anger, disgust, | |and surprise) from both Malay and Japanese languages, and asked sixteen subjects to estimate which emotions they might feel after listening to each | |recorded voice. Then we compared the results with those obtained by computer estimates. We have found interesting similarities and discrepancies | |between the comparison of computer and human estimates of emotions, as well as different kind of similarities and discrepancies between Malay and | |Japanese languages....
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