Neural Encoding of Songs is Modulated by Their Enjoyment
August 13, 2022 Β· Declared Dead Β· π International Conference on Multimodal Interaction
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Authors
Gulshan Sharma, Pankaj Pandey, Ramanathan Subramanian, Krishna. P. Miyapuram, Abhinav Dhall
arXiv ID
2208.06679
Category
cs.HC: Human-Computer Interaction
Citations
5
Venue
International Conference on Multimodal Interaction
Last Checked
4 months ago
Abstract
We examine user and song identification from neural (EEG) signals. Owing to perceptual subjectivity in human-media interaction, music identification from brain signals is a challenging task. We demonstrate that subjective differences in music perception aid user identification, but hinder song identification. In an attempt to address intrinsic complexities in music identification, we provide empirical evidence on the role of enjoyment in song recognition. Our findings reveal that considering song enjoyment as an additional factor can improve EEG-based song recognition.
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