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An ERP study on the influence of lyric to song's emotional state
Li, Cheng1; Li, Jia Wen2,3,4; Pun, Sio Hang2,3,4; Chen, Fei1
2021-05-04
Conference Name10th International IEEE-EMBS Conference on Neural Engineering (NER)
Source PublicationInternational IEEE/EMBS Conference on Neural Engineering, NER
Volume2021-May
Pages933-936
Conference DateMAY 04-06, 2021
Conference PlacePrague, ELECTR NETWORK
Abstract

Songs can express emotions and contain both lyrics and music. Early behavioral studies have shown that songs are influenced by the presence of lyrics for emotional processing. This work further examined the event-related potential (ERP) N400 responses of participants to elucidate whether lyrical and non-lyrical songs have different influences to different emotional states (happiness and sadness in this work). The song stimuli were processed and subjectively annotated with four conditions (i.e., lyrical and non-lyrical songs, and happy and sad emotional states), and the processed stimuli were presented to normal-hearing listeners in ERP experiments according to an affective priming paradigm. The song stimuli served as the prime stimuli and the affective-semantic words as the target stimuli. The experimental results showed that the non-lyrical songs evoked a larger amplitude than lyrical songs for happy emotion, and the lyrical songs evoked a larger amplitude than the non-lyrical songs for sad emotion. Results in this work suggest that the presence of the lyrics has a differential effect in happy and sad songs, and provide evidence that music and lyrics separately influence the diverse emotional processing.

DOI10.1109/NER49283.2021.9441421
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science ; Engineering ; Neurosciences & Neurology
WOS SubjectComputer Science, Theory & Methods ; Engineering, Biomedical ; Neurosciences
WOS IDWOS:000681358200182
Scopus ID2-s2.0-85107493653
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Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorChen, Fei
Affiliation1.Southern University of Science and Technology, Department of Electrical and Electronic Engineering, Shenzhen, China
2.Department of Electrical and Computer Engineering, University of Macau, Macao
3.Institute of Microelectronics, University of Macau, Macao
4.State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macao
Recommended Citation
GB/T 7714
Li, Cheng,Li, Jia Wen,Pun, Sio Hang,et al. An ERP study on the influence of lyric to song's emotional state[C], 2021, 933-936.
APA Li, Cheng., Li, Jia Wen., Pun, Sio Hang., & Chen, Fei (2021). An ERP study on the influence of lyric to song's emotional state. International IEEE/EMBS Conference on Neural Engineering, NER, 2021-May, 933-936.
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