Porcaro, Lorenzo (Date of defense: 2022-12-16)
This thesis focuses on assessing the impact that music recommendation diversity may have on listeners. In the music domain, diversity is one of the values that recommender systems should preserve, ...
Yesiler, M. Furkan (Date of defense: 2022-01-12)
This dissertation aims at developing audio-based musical version identification (VI) systems for industry-scale corpora. To employ such systems in industrial use cases, they must demonstrate high ...
Slizovskaia, Olga (Date of defense: 2020-10-21)
In music perception, the information we receive from a visual system and audio system is often complementary. Moreover, visual perception plays an important role in the overall experience of being exposed ...