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Journal of New Music Research Volume 40, 2011 - Issue 4
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Original Articles

Are the Emotions Expressed in Music Genre-specific? An Audio-based Evaluation of Datasets Spanning Classical, Film, Pop and Mixed Genres

Tuomas Eerola University of Jyväskylä, FinlandCorrespondence[email protected]
Pages 349-366 | Received 30 Oct 2010, Accepted 23 Jun 2011, Published online: 25 Nov 2011

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Darryl Griffiths, Stuart Cunningham, Jonathan Weinel & Richard Picking. (2021) A multi-genre model for music emotion recognition using linear regressors. Journal of New Music Research 50:4, pages 355-372.
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Ming-Chuan Chiu & Ya-Wen Hsu. (2017) Using fuzzy c-means clustering based on integration of psychological and physiological data for therapeutic music design. Journal of Industrial and Production Engineering 34:5, pages 382-397.
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Matevž Pesek, Gregor Strle, Alenka Kavčič & Matija Marolt. (2017) The Moodo dataset: Integrating user context with emotional and color perception of music for affective music information retrieval. Journal of New Music Research 46:3, pages 246-260.
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Bruno Gingras, Manuela M. Marin & W. Tecumseh Fitch. (2014) Beyond intensity: Spectral features effectively predict music-induced subjective arousal. The Quarterly Journal of Experimental Psychology 67:7, pages 1428-1446.
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Articles from other publishers (47)

Ilja Salakka, Anni Pitkäniemi, Emmi Pentikäinen, Pasi Saari, Petri Toiviainen & Teppo Särkämö. (2023) Emotional and musical factors combined with song-specific age predict the subjective autobiographical saliency of music in older adults. Psychology of Music.
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Marco Susino. (2023) Emotional Expression, Perception, and Induction in Music and Dance: Considering Ecologically Valid Intentions. The Journal of Creative Behavior.
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Patrik N. Juslin, Laura S. Sakka, Gonçalo T. Barradas & Olivier Lartillot. (2022) Emotions, Mechanisms, and Individual Differences in Music Listening. Music Perception 40:1, pages 55-86.
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Ashley Warmbrodt, Renee Timmers & Rory Kirk. (2021) The emotion trajectory of self-selected jazz music with lyrics: A psychophysiological perspective. Psychology of Music 50:3, pages 756-778.
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Thomas M. Lennie & Tuomas Eerola. (2022) The CODA Model: A Review and Skeptical Extension of the Constructionist Model of Emotional Episodes Induced by Music. Frontiers in Psychology 13.
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Aimee Battcock & Michael Schutz. (2021) Emotion and expertise: how listeners with formal music training use cues to perceive emotion. Psychological Research 86:1, pages 66-86.
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Ga Eul Yoo, Sung Jin Hong & Hyun Ju Chong. (2022) Nighttime Walking with Music: Does Music Mediate the Influence of Personal Distress on Perceived Safety?. International Journal of Environmental Research and Public Health 19:3, pages 1383.
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Jonna K. Vuoskoski, Janis H. Zickfeld, Vinoo Alluri, Vishnu Moorthigari & Beate Seibt. (2022) Feeling moved by music: Investigating continuous ratings and acoustic correlates. PLOS ONE 17:1, pages e0261151.
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Ying Liu, Qingting Tang, Xingcong Zhao, Huan Lu, Guangjie Yuan, Gaoyuan Wang & Guangyuan Liu. (2020) Neural activation of different music styles during emotion-evoking. Psychology of Music 49:6, pages 1546-1560.
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Rémi de Fleurian & Marcus T. Pearce. (2021) The Relationship Between Valence and Chills in Music: A Corpus Analysis. i-Perception 12:4, pages 204166952110246.
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Ilja Salakka, Anni Pitkäniemi, Emmi Pentikäinen, Kari Mikkonen, Pasi Saari, Petri Toiviainen & Teppo Särkämö. (2021) What makes music memorable? Relationships between acoustic musical features and music-evoked emotions and memories in older adults. PLOS ONE 16:5, pages e0251692.
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Benjamin Ma, Timothy Greer, Dillon Knox & Shrikanth Narayanan. (2021) A computational lens into how music characterizes genre in film. PLOS ONE 16:4, pages e0249957.
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Peter Willett. (2020) The Literature of Chemoinformatics: 1978–2018. International Journal of Molecular Sciences 21:15, pages 5576.
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Sabina Hult, Line Bay Kreiberg, Sami Sebastian Brandt & Björn Þór Jónsson. (2020) Analysis of the Effect of Dataset Construction Methodology on Transferability of Music Emotion Recognition Models. Analysis of the Effect of Dataset Construction Methodology on Transferability of Music Emotion Recognition Models.
Caroline Cohrdes, Cornelia Wrzus, Melanie Wald-Fuhrmann & Michaela Riediger. (2018) “The sound of affect”: Age differences in perceiving valence and arousal in music and their relation to music characteristics and momentary mood. Musicae Scientiae 24:1, pages 21-43.
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Lindsay A. Warrenburg. (2020) Choosing the Right Tune. Music Perception 37:3, pages 240-258.
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Aimee Battcock & Michael Schutz. (2019) Acoustically Expressing Affect. Music Perception 37:1, pages 66-91.
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Mincheol Shin, Stephen W Song, Se Jung Kim & Frank Biocca. (2019) The effects of 3D sound in a 360-degree live concert video on social presence, parasocial interaction, enjoyment, and intent of financial supportive action. International Journal of Human-Computer Studies 126, pages 81-93.
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Marco Susino & Emery Schubert. (2018) Cultural stereotyping of emotional responses to music genre. Psychology of Music 47:3, pages 342-357.
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Phil Lopes, Antonios Liapis & Georgios N. Yannakakis. (2019) Modelling Affect for Horror Soundscapes. IEEE Transactions on Affective Computing 10:2, pages 209-222.
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Alexandra Fiegel, Andrew Childress, Thadeus L. Beekman & Han-Seok Seo. (2019) Variations in Food Acceptability with Respect to Pitch, Tempo, and Volume Levels of Background Music. Multisensory Research 32:4-5, pages 319-346.
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Elke B. Lange & Klaus Frieler. (2018) Challenges and Opportunities of Predicting Musical Emotions with Perceptual and Automatized Features. Music Perception 36:2, pages 217-242.
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Yi-Wei Chen, Yi-Hsuan Yang & Homer H. Chen. (2018) Cross-Cultural Music Emotion Recognition by Adversarial Discriminative Domain Adaptation. Cross-Cultural Music Emotion Recognition by Adversarial Discriminative Domain Adaptation.
Scott Bannister & Tuomas Eerola. (2018) Suppressing the Chills: Effects of Musical Manipulation on the Chills Response. Frontiers in Psychology 9.
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Arielle Bonneville-Roussy & Tuomas Eerola. (2017) Age trends in musical preferences in adulthood: 3. Perceived musical attributes as intrinsic determinants of preferences. Musicae Scientiae 22:3, pages 394-414.
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Scott Beveridge & Don Knox. (2017) Popular music and the role of vocal melody in perceived emotion. Psychology of Music 46:3, pages 411-423.
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Julian Cespedes-Guevara & Tuomas Eerola. (2018) Music Communicates Affects, Not Basic Emotions – A Constructionist Account of Attribution of Emotional Meanings to Music. Frontiers in Psychology 9.
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Tejaswinee Kelkar & Alexander Jensenius. (2018) Analyzing Free-Hand Sound-Tracings of Melodic Phrases. Applied Sciences 8:1, pages 135.
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Tuomas Eerola. 2018. Springer Handbook of Systematic Musicology. Springer Handbook of Systematic Musicology 539 554 .
Yeawon Yoo, Yonghan Ju & So Young Sohn. (2017) Quantitative analysis of a half-century of K-Pop songs: Association rule analysis of lyrics and social network analysis of singers and composers. Journal of Popular Music Studies 29:3, pages e12225.
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Renee Timmers. 2017. The Routledge Companion to Music Cognition. The Routledge Companion to Music Cognition 489 500 .
Mark Reybrouck & Tuomas Eerola. (2017) Music and Its Inductive Power: A Psychobiological and Evolutionary Approach to Musical Emotions. Frontiers in Psychology 8.
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Xiao Hu & Yi-Hsuan Yang. (2017) Cross-Dataset and Cross-Cultural Music Mood Prediction: A Case on Western and Chinese Pop Songs. IEEE Transactions on Affective Computing 8:2, pages 228-240.
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Igor Vatolkin. 2017. Computational Intelligence in Music, Sound, Art and Design. Computational Intelligence in Music, Sound, Art and Design 304 320 .
Arto Lehtiniemi, Jarno Ojala & Kaisa Väänänen. (2016) Socially Augmented Music Discovery with Collaborative Playlists and Mood Pictures. Interacting with Computers.
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Neomi Singer, Nori Jacoby, Tamar Lin, Gal Raz, Lavi Shpigelman, Gadi Gilam, Roni Y. Granot & Talma Hendler. (2016) Common modulation of limbic network activation underlies musical emotions as they unfold. NeuroImage 141, pages 517-529.
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Clément Canonne & Jean-Julien Aucouturier. (2015) Play together, think alike: Shared mental models in expert music improvisers. Psychology of Music 44:3, pages 544-558.
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Pasi Saari, Gyorgy Fazekas, Tuomas Eerola, Mathieu Barthet, Olivier Lartillot & Mark Sandler. (2016) Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation. IEEE Transactions on Affective Computing 7:2, pages 122-135.
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Markus Hausmann, Sophie Hodgetts & Tuomas Eerola. (2016) Music-induced changes in functional cerebral asymmetries. Brain and Cognition 104, pages 58-71.
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Arto Lehtiniemi, Jarno Ojala & Henri Toukomaa. (2016) Design and evaluation of mood pictures in social music discovery service. Personal and Ubiquitous Computing 20:1, pages 97-119.
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Elvira Brattico, Brigitte Bogert, Vinoo Alluri, Mari Tervaniemi, Tuomas Eerola & Thomas Jacobsen. (2016) It's Sad but I Like It: The Neural Dissociation Between Musical Emotions and Liking in Experts and Laypersons. Frontiers in Human Neuroscience 9.
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Gregor Strle, Matevž Pesek & Matija Marolt. 2016. Emotions and Personality in Personalized Services. Emotions and Personality in Personalized Services 327 353 .
Bruno Gingras, Manuela M. Marin, Estela Puig-Waldmüller & W. T. Fitch. (2015) The Eye is Listening: Music-Induced Arousal and Individual Differences Predict Pupillary Responses. Frontiers in Human Neuroscience 9.
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Omar López-Ortega & Anilú Franco-Árcega. (2015) Analysis of psychoacoustic responses to digital music for enhancing autonomous creative systems. Applied Acoustics 89, pages 320-332.
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Pasi Saari & Tuomas Eerola. (2014) Semantic Computing of Moods Based on Tags in Social Media of Music. IEEE Transactions on Knowledge and Data Engineering 26:10, pages 2548-2560.
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Manuela M. Marin & Helmut Leder. (2013) Examining Complexity across Domains: Relating Subjective and Objective Measures of Affective Environmental Scenes, Paintings and Music. PLoS ONE 8:8, pages e72412.
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Konstantinos Trochidis, David Sears, Diêu-Ly Trân & Stephen McAdams. 2013. From Sounds to Music and Emotions. From Sounds to Music and Emotions 44 57 .

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