A case-based music recommendation system for cochlear implant users
| dc.contributor.advisor | Gucluturk, Yagmur | |
| dc.contributor.advisor | Borne, van den , Eva | |
| dc.contributor.author | Tanuri Vargas, Andre | |
| dc.date.issued | 2021-05-01 | |
| dc.description.abstract | Cochlear implant users face many di culties in their music listening experience, such that music perception and music appreciation remain a challenge. Rhythm is the musical element that is better perceived by CI users when compared to pitch, melody, and timbre. The presence of lyrics and percussive sounds have a positive in uence on the CI users' music appreciation. Music recommendation systems can give appropriate song suggestions to a user. However, the available music recommendation systems are based on timbre and melodic content. In this paper, I propose a case-based music recommendation system that considers music perception and music appreciation from a CI user perceptive. | |
| dc.identifier.uri | https://theses.ubn.ru.nl/handle/123456789/15768 | |
| dc.language.iso | en | |
| dc.thesis.faculty | Faculteit der Sociale Wetenschappen | |
| dc.thesis.specialisation | specialisations::Faculteit der Sociale Wetenschappen::Artificial Intelligence::Bachelor Artificial Intelligence | |
| dc.thesis.studyprogramme | studyprogrammes::Faculteit der Sociale Wetenschappen::Artificial Intelligence | |
| dc.thesis.type | Bachelor | |
| dc.title | A case-based music recommendation system for cochlear implant users |
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