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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 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 '22
Subtitle of host publication	Proceedings of the 2022 International Conference on Multimodal Interaction
Place of Publication	New York, NY
Publisher	Association for Computing Machinery
Pages	414-419
Number of pages	6
ISBN (Electronic)	9781450393904
DOIs	https://doi.org/10.1145/3536221.3556598
Publication status	Published - 7 Nov 2022
Externally published	Yes
Event	24th ACM International Conference on Multimodal Interaction - Bangalore, India Duration: 7 Nov 2022 → 11 Nov 2022 Conference number: 24th

Publication series

Name	Proceedings of the International Conference on Multimodal Interaction
Publisher	Association for Computing Machinery
Volume	2022

Conference

Conference	24th ACM International Conference on Multimodal Interaction
Abbreviated title	ICMI 2022
Country/Territory	India
City	Bangalore
Period	7/11/22 → 11/11/22

Keywords

CNNs
EEG
Music Entrainment
Song Enjoyment
Stimulus Identification
User Identification

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10.1145/3536221.3556598Licence: In Copyright

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 '22: Proceedings of the 2022 International Conference on Multimodal Interaction (pp. 414-419). (Proceedings of the International Conference on Multimodal Interaction; Vol. 2022). Association for Computing Machinery. 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",

year = "2022",

month = nov,

day = "7",

doi = "10.1145/3536221.3556598",

language = "English",

series = "Proceedings of the International Conference on Multimodal Interaction",

publisher = "Association for Computing Machinery",

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note = "24th ACM International Conference on Multimodal Interaction, ICMI 2022 ; Conference date: 07-11-2022 Through 11-11-2022",

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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 '22: Proceedings of the 2022 International Conference on Multimodal Interaction. Proceedings of the International Conference on Multimodal Interaction, vol. 2022, Association for Computing Machinery, New York, NY, pp. 414-419, 24th ACM International Conference on Multimodal Interaction, 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 '22: Proceedings of the 2022 International Conference on Multimodal Interaction. New York, NY: Association for Computing Machinery, 2022. p. 414-419 (Proceedings of the International Conference on Multimodal Interaction; Vol. 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Neural Encoding of Songs is Modulated by Their Enjoyment

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AU - Pandey, Pankaj

AU - Subramanian, Ramanathan

AU - Miyapuram, Krishna Prasad

AU - Dhall, Abhinav

N1 - Conference code: 24th

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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DO - 10.1145/3536221.3556598

M3 - Conference contribution

AN - SCOPUS:85142795115

T3 - Proceedings of the International Conference on Multimodal Interaction

SP - 414

EP - 419

BT - ICMI '22

PB - Association for Computing Machinery

CY - New York, NY

T2 - 24th ACM International Conference on Multimodal Interaction

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ER -

Sharma G, Pandey P, Subramanian R, Miyapuram KP, Dhall A. Neural Encoding of Songs is Modulated by Their Enjoyment. In ICMI '22: Proceedings of the 2022 International Conference on Multimodal Interaction. New York, NY: Association for Computing Machinery. 2022. p. 414-419. (Proceedings of the International Conference on Multimodal Interaction). doi: 10.1145/3536221.3556598

Neural Encoding of Songs is Modulated by Their Enjoyment

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