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Predicting Perceived Emotions in Music: the Impact of Genre
2017
XXV Congresso de Iniciação Científica da Unicamp
unpublished
In this work, we assessed the impact of using genre information in the automatic classification of perceived emotion in music. In this process, we developed a dataset in which tracks were mapped according to their genre and their perceived emotion. Our results show that using a specific classifier for each genre yields better results than using a single classifier, with no genre information, for Indie-Rock, Jazz, Heavy-Metal, and Classical music. However, classification result were poor for
doi:10.19146/pibic-2017-77932
fatcat:kholx275rbgzhbvyftfpci3m5a