Neural Encoding of Songs is Modulated by Their Enjoyment

Gulshan Sharma; Pankaj Pandey; Ramanathan Subramanian; Krishna Prasad Miyapuram; Abhinav Dhall

doi:10.1145/3536221.3556598

Neural Encoding of Songs is Modulated by Their Enjoyment

Gulshan Sharma, Pankaj Pandey, Ramanathan Subramanian, Krishna Prasad Miyapuram, Abhinav Dhall

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	ICMI 2022 - Proceedings of the 2022 International Conference on Multimodal Interaction
Publisher	Association for Computing Machinery, Inc
Pages	414-419
Number of pages	6
ISBN (Electronic)	9781450393904
DOIs	https://doi.org/10.1145/3536221.3556598
Publication status	Published - 7 Nov 2022
Event	24th ACM International Conference on Multimodal Interaction, ICMI 2022 - Bangalore, India Duration: 7 Nov 2022 → 11 Nov 2022 https://icmi.acm.org/2022/

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	24th ACM International Conference on Multimodal Interaction, ICMI 2022
Abbreviated title	ICMI 2022
Country/Territory	India
City	Bangalore
Period	7/11/22 → 11/11/22
Internet address	https://icmi.acm.org/2022/

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10.1145/3536221.3556598

Cite this

Sharma, G., Pandey, P., Subramanian, R., Miyapuram, K. P., & Dhall, A. (2022). Neural Encoding of Songs is Modulated by Their Enjoyment. In ICMI 2022 - Proceedings of the 2022 International Conference on Multimodal Interaction (pp. 414-419). (ACM International Conference Proceeding Series). Association for Computing Machinery, Inc. https://doi.org/10.1145/3536221.3556598

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title = "Neural Encoding of Songs is Modulated by Their Enjoyment",

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.",

keywords = "CNNs, EEG, Music Entrainment, Song Enjoyment, Stimulus Identification, User Identification",

author = "Gulshan Sharma and Pankaj Pandey and Ramanathan Subramanian and Miyapuram, {Krishna Prasad} and Abhinav Dhall",

note = "Funding Information: We thank Science and Engineering Research Board (SERB) and Play-Power Labs for supporting the Prime Minister{\textquoteright}s Research Fellowship (PMRF) awarded to Pankaj Pandey and FICCI for facilitating this PMRF. Publisher Copyright: {\textcopyright} 2022 ACM.; 24th ACM International Conference on Multimodal Interaction, ICMI 2022, ICMI 2022 ; Conference date: 07-11-2022 Through 11-11-2022",

year = "2022",

month = nov,

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doi = "10.1145/3536221.3556598",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery, Inc",

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Sharma, G, Pandey, P, Subramanian, R, Miyapuram, KP & Dhall, A 2022, Neural Encoding of Songs is Modulated by Their Enjoyment. in ICMI 2022 - Proceedings of the 2022 International Conference on Multimodal Interaction. ACM International Conference Proceeding Series, Association for Computing Machinery, Inc, pp. 414-419, 24th ACM International Conference on Multimodal Interaction, ICMI 2022, Bangalore, India, 7/11/22. https://doi.org/10.1145/3536221.3556598

Neural Encoding of Songs is Modulated by Their Enjoyment. / Sharma, Gulshan; Pandey, Pankaj; Subramanian, Ramanathan et al.
ICMI 2022 - Proceedings of the 2022 International Conference on Multimodal Interaction. Association for Computing Machinery, Inc, 2022. p. 414-419 (ACM International Conference Proceeding Series).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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T1 - Neural Encoding of Songs is Modulated by Their Enjoyment

AU - Sharma, Gulshan

AU - Pandey, Pankaj

AU - Subramanian, Ramanathan

AU - Miyapuram, Krishna Prasad

AU - Dhall, Abhinav

N1 - Funding Information: We thank Science and Engineering Research Board (SERB) and Play-Power Labs for supporting the Prime Minister’s Research Fellowship (PMRF) awarded to Pankaj Pandey and FICCI for facilitating this PMRF. Publisher Copyright: © 2022 ACM.

PY - 2022/11/7

Y1 - 2022/11/7

N2 - 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.

AB - 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.

KW - CNNs

KW - EEG

KW - Music Entrainment

KW - Song Enjoyment

KW - Stimulus Identification

KW - User Identification

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SP - 414

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BT - ICMI 2022 - Proceedings of the 2022 International Conference on Multimodal Interaction

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Y2 - 7 November 2022 through 11 November 2022

ER -

Neural Encoding of Songs is Modulated by Their Enjoyment

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