Query: title:(Predicting the emotions expressed in music), Author: Madsen

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title:(Predicting the emotions expressed in music) Author: Madsen

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title:(Predicting AND the AND emotions AND expressed AND in AND music)

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1 PhD Thesis

Predicting the emotions expressed in music

Madsen, Jens

Technical University of Denmark — 2016

fundamental reason. (Mis)matching peoples mood with the emotions expressed in music was found to be an essential underlying mechanism, people use to regulate their emotions. This formed the basis and overall goal of the thesis, to investigate how to create a predictive model of emotions expressed in music

Year: 2016

Language: English

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2 Conference paper

Predictive Modeling of Expressed Emotions in Music Using Pairwise Comparisons 10.1007/978-3-642-41248-6_14

Madsen, Jens; Jensen, Bjørn Sand; Larsen, Jan

From Sounds To Music and Emotions — 2013, pp. 253-277

We introduce a two-alternative forced-choice (2AFC) experimental paradigm to quantify expressed emotions in music using the arousal and valence (AV) dimensions. A wide range of well-known audio features are investigated for predicting the expressed emotions in music using learning curves

Year: 2013

Language: English

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3 Conference paper

Towards Predicting Expressed Emotion in Music from Pairwise Comparisons

Madsen, Jens; Jensen, Bjørn Sand; Larsen, Jan; Nielsen, Jens Brehm

Proceedings of the 9th Sound and Music Computing Conference — 2012, pp. 350-357

We introduce five regression models for the modeling of expressed emotion in music using data obtained in a two alternative forced choice listening experiment. The predictive performance of the proposed models is compared using learning curves, showing that all models converge to produce a similar

Year: 2012

Language: English

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4 Journal article

Predictive Modeling of Expressed Emotions in Music Using Pairwise Comparisons 10.1007/978-3-642-41248-6_14

Madsen, Jens; Jensen, Bjørn Sand; Larsen, Jan

Lecture Notes in Computer Science — 2013, Volume 7900, pp. 253-277