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ZENODO
Software . 2025
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
ZENODO
Software . 2025
License: https://opensource.org/licenses/MIT
Data sources: Datacite
Claim

Music Emotion Recognition

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 21 Aug 2025Publisher:Zenodo
Authors: Winnard, Christopher James;
Code repository: https://github.com/Chris-Winnard/Music-Emotion-Recognition/tree/v1.1.0

doi: 10.5281/zenodo.16921765

Music Emotion Recognition

Abstract

If you use these materials, please cite using the metadata from this file. Funding is provided by UKRI and EPSRC through the "UKRI Centre for Doctoral Training in Artificial Intelligence and Music", under grant EP/S022694/1. Thanks to Luke Greetham for formatting suggestions and double-checking the p-test calculations.

Code used for the analysis described in "Music Emotion Recognition With cEEGrid", studying MER with a range of models, feature extraction, and data splitting techniques. Set up for the DEAP and DAAMEE datasets.

Related Organizations
Keywords

Affect decoding, Deep learning, EEG, DEAP dataset, Emotion decoding

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average