Discovering Emotion in a Cocktail Party: How Emotional Learning Shapes Neural Dynamics in Speech-on-Speech Masking.
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| Title: | Discovering Emotion in a Cocktail Party: How Emotional Learning Shapes Neural Dynamics in Speech-on-Speech Masking. |
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| Authors: | Lu, Lingxi1,2,3 lingxilu@blcu.edu.cn, Bao, Xiaohan4,5, Zheng, Li6, Luo, Lu7 |
| Source: | Journal of Speech, Language & Hearing Research. May2026, Vol. 69 Issue 5, p1944-1954. 11p. |
| Subject Terms: | *Emotions, *Listening, *Experimental design, *Learning strategies, *Speech perception, *Comparative studies, Brain physiology, Masking (Psychology), Noise, Prompts (Psychology), Research funding, Electroencephalography, Anger, Multivariate analysis, Signal processing, Descriptive statistics, Statistics, Acoustic stimulation, Human voice, Reaction time, Data analysis software, Facial expression, Brain mapping |
| Abstract: | Purpose: Under a noisy environment such as a cocktail party, emotional signals play a crucial role in helping listeners unmask target speech. However, it remains unclear how emotional features carried in a speaker's vocal timbre shape neural processing over time. This study aimed to characterize the temporal neural dynamics of learned emotion with a speaker's voice in complex listening conditions. Method: We employed an emotional learning paradigm in a speech-on-speech context, pairing two different target speakers with either angry or neutral facial expressions. Electroencephalogram data were recorded from healthy participants, and multivariate pattern analysis combined with representational similarity analysis was used to track the temporal unfolding of learned emotion linked to the target speaker's voice. Results: We observed early neural signatures of emotional processing between 150 and 180 ms after stimulus onset, occurring nearly simultaneously with the decoding of speaker identity. Importantly, brain-behavior analysis revealed that subjective emotional valence ratings could be decoded from neural signals as early as 94 ms. These findings suggest that vocal emotion can be processed rapidly and in a way relatively independent to the process of low-level acoustic cues. Conclusion: Our study provides evidence that acquired emotional associations with a speaker's voice can shape early-stage neural dynamics during speech processing under challenging listening conditions. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 193696197 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Discovering Emotion in a Cocktail Party: How Emotional Learning Shapes Neural Dynamics in Speech-on-Speech Masking. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lu%2C+Lingxi%22">Lu, Lingxi</searchLink><relatesTo>1,2,3</relatesTo><i> lingxilu@blcu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Bao%2C+Xiaohan%22">Bao, Xiaohan</searchLink><relatesTo>4,5</relatesTo><br /><searchLink fieldCode="AR" term="%22Zheng%2C+Li%22">Zheng, Li</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22Luo%2C+Lu%22">Luo, Lu</searchLink><relatesTo>7</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Speech%2C+Language+%26+Hearing+Research%22">Journal of Speech, Language & Hearing Research</searchLink>. May2026, Vol. 69 Issue 5, p1944-1954. 11p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Emotions%22">Emotions</searchLink><br />*<searchLink fieldCode="DE" term="%22Listening%22">Listening</searchLink><br />*<searchLink fieldCode="DE" term="%22Experimental+design%22">Experimental design</searchLink><br />*<searchLink fieldCode="DE" term="%22Learning+strategies%22">Learning strategies</searchLink><br />*<searchLink fieldCode="DE" term="%22Speech+perception%22">Speech perception</searchLink><br />*<searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+physiology%22">Brain physiology</searchLink><br /><searchLink fieldCode="DE" term="%22Masking+%28Psychology%29%22">Masking (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Noise%22">Noise</searchLink><br /><searchLink fieldCode="DE" term="%22Prompts+%28Psychology%29%22">Prompts (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Electroencephalography%22">Electroencephalography</searchLink><br /><searchLink fieldCode="DE" term="%22Anger%22">Anger</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Acoustic+stimulation%22">Acoustic stimulation</searchLink><br /><searchLink fieldCode="DE" term="%22Human+voice%22">Human voice</searchLink><br /><searchLink fieldCode="DE" term="%22Reaction+time%22">Reaction time</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Facial+expression%22">Facial expression</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+mapping%22">Brain mapping</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: Under a noisy environment such as a cocktail party, emotional signals play a crucial role in helping listeners unmask target speech. However, it remains unclear how emotional features carried in a speaker's vocal timbre shape neural processing over time. This study aimed to characterize the temporal neural dynamics of learned emotion with a speaker's voice in complex listening conditions. Method: We employed an emotional learning paradigm in a speech-on-speech context, pairing two different target speakers with either angry or neutral facial expressions. Electroencephalogram data were recorded from healthy participants, and multivariate pattern analysis combined with representational similarity analysis was used to track the temporal unfolding of learned emotion linked to the target speaker's voice. Results: We observed early neural signatures of emotional processing between 150 and 180 ms after stimulus onset, occurring nearly simultaneously with the decoding of speaker identity. Importantly, brain-behavior analysis revealed that subjective emotional valence ratings could be decoded from neural signals as early as 94 ms. These findings suggest that vocal emotion can be processed rapidly and in a way relatively independent to the process of low-level acoustic cues. Conclusion: Our study provides evidence that acquired emotional associations with a speaker's voice can shape early-stage neural dynamics during speech processing under challenging listening conditions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1044/2026_JSLHR-25-00844 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1944 Subjects: – SubjectFull: Emotions Type: general – SubjectFull: Listening Type: general – SubjectFull: Experimental design Type: general – SubjectFull: Learning strategies Type: general – SubjectFull: Speech perception Type: general – SubjectFull: Comparative studies Type: general – SubjectFull: Brain physiology Type: general – SubjectFull: Masking (Psychology) Type: general – SubjectFull: Noise Type: general – SubjectFull: Prompts (Psychology) Type: general – SubjectFull: Research funding Type: general – SubjectFull: Electroencephalography Type: general – SubjectFull: Anger Type: general – SubjectFull: Multivariate analysis Type: general – SubjectFull: Signal processing Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Statistics Type: general – SubjectFull: Acoustic stimulation Type: general – SubjectFull: Human voice Type: general – SubjectFull: Reaction time Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Facial expression Type: general – SubjectFull: Brain mapping Type: general Titles: – TitleFull: Discovering Emotion in a Cocktail Party: How Emotional Learning Shapes Neural Dynamics in Speech-on-Speech Masking. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lu, Lingxi – PersonEntity: Name: NameFull: Bao, Xiaohan – PersonEntity: Name: NameFull: Zheng, Li – PersonEntity: Name: NameFull: Luo, Lu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10924388 Numbering: – Type: volume Value: 69 – Type: issue Value: 5 Titles: – TitleFull: Journal of Speech, Language & Hearing Research Type: main |
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