Please use this identifier to cite or link to this item: http://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/3501
Title: Music Identification Using Brain Responses to Initial Snippets
Authors: Pandey, P.
Sharma, G.
Miyapuram, K.P.
Subramanian, R.
Lomas, D.
Keywords: music perception
Neural signatures
repetitive musical patterns
song identification
Issue Date: 20-Jun-2022
Abstract: 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.
URI: http://localhost:8080/xmlui/handle/123456789/3501
Appears in Collections:Year-2022

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