ササキ　リョウヘイ   佐々木　亮平    所属   コンピュータサイエンス学部 コンピュータサイエンス学科    職種   助教
言語種別	英語
発行・発表の年月	2020/11
形態種別	国際会議論文
査読	査読あり
標題	Creation and Analysis of Emotional Speech Database for Multiple Emotions Recognition
執筆形態	共著
掲載誌名	International Committee for the Coordination and Standardization of Speech Databases and Assessment
掲載区分	国外
出版社・発行元	IEEE
著者・共著者	R. Sato, R. Sasaki, N. Suga, and T. Furukawa
概要	Speech emotion recognition (SER) is one of the latest challenge in human-computer interaction. In conventional SER classification methods, a single emotion label is outputted per one utterance as the estimation result. This is because conventional speech emotional databases which are used to train SER models have a single emotion label for one utterance. However, it is often the case that multiple emotions are expressed simultaneously with different intensities in human speech. In order to realize more natural SER than ever, existence of multiple emotions in one utterance should be taken into account. Therefore, we created an emotional speech database which contains multiple emotions and their intensities labels. The creation experiment was conducted by extracting speech utterance parts where emotions appear from existing video works. In addition, we evaluated the created database by performing statistical analysis on the database. As a result, 2,025 samples were obtained, of which 1,525 samples contained multiple emotions.