6533b823fe1ef96bd127e229

RESEARCH PRODUCT

Are the Emotions Expressed in Music Genre-specific? An Audio-based Evaluation of Datasets Spanning Classical, Film, Pop and Mixed Genres

Tuomas Eerola

subject

Moderately goodVisual Arts and Performing ArtsMultimediabusiness.industryMusicalcomputer.software_genreEmpirical researchPopular musicta6131Generalizability theoryArtificial intelligenceValence (psychology)PsychologybusinesscomputerMusicNatural language processing

description

Abstract Empirical studies of emotions in music have described therole of individual musical features in recognizing particular emotions. However, no attempts have been made as yet to establish if there is a link between particular emotions and a specific genre. Here this is investigated byanalysing nine separate datasets that represent categories ranging from classical (three sets), and film music (two), to popular music (two), and mixed genre (two). Atotal of 39 musical features were extracted from the audio. Models were then constructed from theseto explain self-reports of valence and arousal, by using multiple andRandom Forest regression. The models were fully validated across the datasets, suggesting low generalizability between the genres for valence (16% variance was accounted for) and moderately good generalizability between the genres for arousal (43%). In contrast, the generalizability within genres was considerably higher (43% and 62% respectively), which suggests that emotions, especially thos...

https://doi.org/10.1080/09298215.2011.602195