Journal ArticleDOI
A comparison of the discrete and dimensional models of emotion in music
Tuomas Eerola,Jonna K. Vuoskoski +1 more
TLDR
In this paper, the authors compare perceived emotions in music using two different theoretical frameworks: the discrete emotion model, and the dimensional model of affect, and propose a new, improved set of stimuli for the study of music-mediated emotions.Abstract:
The primary aim of the present study was to systematically compare perceived emotions in music using two different theoretical frameworks: the discrete emotion model, and the dimensional model of affect. A secondary aim was to introduce a new, improved set of stimuli for the study of music-mediated emotions. A large pilot study established a set of 110 film music excerpts, half were moderately and highly representative examples of five discrete emotions (anger, fear, sadness, happiness and tenderness), and the other half moderate and high examples of the six extremes of three bipolar dimensions (valence, energy arousal and tension arousal). These excerpts were rated in a listening experiment by 116 non-musicians. All target emotions of highly representative examples in both conceptual sets were discriminated by self-ratings. Linear mapping techniques between the discrete and dimensional models revealed a high correspondence along two central dimensions that can be labelled as valence and arousal, and the three dimensions could be reduced to two without significantly reducing the goodness of fit. The major difference between the discrete and categorical models concerned the poorer resolution of the discrete model in characterizing emotionally ambiguous examples. The study offers systematically structured and rich stimulus material for exploring emotional processing.read more
Citations
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The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English
TL;DR: The RAVDESS is a validated multimodal database of emotional speech and song consisting of 24 professional actors, vocalizing lexically-matched statements in a neutral North American accent, which shows high levels of emotional validity and test-retest intrarater reliability.
Journal ArticleDOI
A Review of Music and Emotion Studies: Approaches, Emotion Models, and Stimuli
Tuomas Eerola,Jonna K. Vuoskoski +1 more
TL;DR: A review of 251 studies describes the focus of prevalent research approaches, methods, and models of emotion, and documents the types of musical stimuli used over the past twenty years as discussed by the authors.
Journal ArticleDOI
Who enjoys listening to sad music and why
TL;DR: This article investigated what kinds of subjective emotional experiences are induced in listeners by sad music, and whether the tendency to enjoy sad music is associated with particular personality traits, finding that aesthetic appreciation and empathetic engagement play a role in the enjoyment of sad music.
Journal Article
Tonal Pitch Space を用いた楽曲の和声解析
TL;DR: There is a complementary relationship between these topological models and various twentieth-century tonal theories that focus on structure in actual pieces, such as Schenker (1935), Meyer (1973), and Lerdahl and Jackendoff (1983, A Generative Theory of Tonal Music, henceforth GTTM).
References
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TL;DR: In this Section: 1. Multivariate Statistics: Why? and 2. A Guide to Statistical Techniques: Using the Book Research Questions and Associated Techniques.
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TL;DR: The book aims to provide the skills necessary to begin to use SEM in research and to interpret and critique the use of method by others.
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The Big Five Trait taxonomy: History, measurement, and theoretical perspectives.
Oliver P. John,Sanjay Srivastava +1 more
TL;DR: The Big Five taxonomy as discussed by the authors is a taxonomy of personality dimensions derived from analyses of the natural language terms people use to describe themselves 3 and others, and it has been used for personality assessment.