3 accepted papers
Music is a universally-enjoyed art form, but listeners often respond to it in tremendously different ways. The same song can bring one person great joy and another deep sorrow. This paper focuses on modeling human music experience at the group level. In this scenario, human annotations serve an impo…
Music has a powerful influence on a listener's emotions. In this paper, we represent lyrics and chords in a shared vector space using a phrase-aligned chord-and-lyrics corpus. We show that models that use these shared representations predict a listener's emotion while hearing musical passages better…
A new approach for targeted graph sampling is proposed in which graph sampling and classification occur together, and content-based homophily is exploited to achieve improved classification performance. The application of network discovery of relevant content is considered using an approach that may…