Predicting Perceived Emotions in Music: the Impact of Genre

Felipe Souza Tanios, TIAGO FERNANDES TAVARES
2017 XXV Congresso de Iniciação Científica da Unicamp   unpublished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
more » ... t were poor for Bossa-Nova. Therefore we speculate that Bossa-Nova conveys emotion differently than the other tested genres.
doi:10.19146/pibic-2017-77932 fatcat:kholx275rbgzhbvyftfpci3m5a