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The Impact of Audio Features on Music Genre Classification and Recommendations

dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorGauthier, David
dc.contributor.authorSijbesma, David
dc.date.accessioned2024-10-16T23:04:42Z
dc.date.available2024-10-16T23:04:42Z
dc.date.issued2024
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/47974
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectThe Impact of Audio Features on Music Genre Classification and Recommendations
dc.titleThe Impact of Audio Features on Music Genre Classification and Recommendations
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsMusic Genre Classification, Audio Features, Music Recommendation, Machine Learning, Mel-Frequency Cepstral Coefficients (MFCCs), Ensemble Learning, Content-Based Recommendation System, Cosine Similarity
dc.subject.courseuuApplied Data Science
dc.thesis.id40298


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