What you hear is what you get: Post-genre, feature-based music recommendation system

dc.rights.license	CC-BY-NC-ND
dc.contributor.advisor	Gauthier, David
dc.contributor.author	Skalski, Szymon
dc.date.accessioned	2024-02-15T14:57:04Z
dc.date.available	2024-02-15T14:57:04Z
dc.date.issued	2024
dc.identifier.uri	https://studenttheses.uu.nl/handle/20.500.12932/45997
dc.description.sponsorship	Utrecht University
dc.language.iso	EN
dc.subject	This thesis proposed a post-genre recommendation system focused only on the sonic characteristics of songs to create music recommendations. The study utilized a selection of spectral and temporal features extracted from audio files, employing the GTZAN dataset. The relevance of the features was assessed, to determine which ones provided the most accurate representation of audio content. This study prioritized the audio content as a key factor in the creation of music recommendations.
dc.title	What you hear is what you get: Post-genre, feature-based music recommendation system
dc.type.content	Master Thesis
dc.rights.accessrights	Open Access
dc.subject.keywords	audio features; music recommendation system;
dc.subject.courseuu	Applied Data Science
dc.thesis.id	21629