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MUSIC IDENTIFICATION USING BRAIN RESPONSES TO INITIAL SNIPPETS
- Citation Author(s):
- Submitted by:
- Pankaj Pandey
- Last updated:
- 5 May 2022 - 12:17am
- Document Type:
- Presentation Slides
- Document Year:
- 2022
- Event:
- Presenters:
- Pankaj Pandey
- Paper Code:
- 9011
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Naturalistic music typically contains repetitive musical patterns that are present throughout the song. These patterns form a signature, enabling effortless song recognition. We investigate whether neural responses corresponding to these repetitive patterns also serve as a signature, enabling recognition of later song segments on learning initial segments. We examine EEG encoding of naturalistic musical patterns employing the NMED-T and MUSIN-G datasets. Experiments reveal that (a) training machine learning classifiers on the initial 20s song segment enables accurate prediction of the song from the remaining segments; (b) β and γ band power spectra achieve optimal song classification, and (c) listener-specific EEG responses are observed for the same stimulus, characterizing individual differences in music perception.