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Conference object . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Feature-Based Modelling of Perceived Emotion in Film Music

Authors: Crocker, Ruby; Fazekas, George;

Feature-Based Modelling of Perceived Emotion in Film Music

Abstract

This study investigates how musical features in film scores relate to perceived emotional expression over time. Film music differs from general music, as it is designed to manipulate narrative, tension, and audience perception, providing context-specific emotional cues beyond melody or harmony. The study is based on the FME-24 dataset, a collection of 300 professionally composed film score excerpts (2002–2024) covering both contemporary and traditional practices, through which perceptual, rhythmic, and tonal features were analysed. Participants marked moments of perceived emotional change, described the emotion, and placed it in a valence–arousal space. The preliminary results showed that emotions were clearly perceived but often difficult to verbalize. Analysis showed weak but significant correlations for certain features (e.g. ZCR and arousal), while chord types influenced arousal more strongly. Rhythmic and tonal features showed varied relationships with both dimensions. Arousal was generally perceived more consistently than valence. Isolating audio enables more precise mapping between musical features and perceived emotion, establishing a baseline for future audiovisual comparisons. Variability in participant reports highlights the subjectivity of film music perception and supports further feature-based modelling of emotional dynamics in cinematic scoring.

Keywords

Music Information Retrieval, Music Emotion Recognition, Film Composition

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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
Average
Average