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Original Articles

Prediction of Musical Affect Using a Combination of Acoustic Structural Cues

Pages 39-67 | Published online: 16 Feb 2007

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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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John R. Taylor & Roger T. Dean. (2021) Influence of a continuous affect ratings task on listening time for unfamiliar art music. Journal of New Music Research 50:3, pages 242-258.
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Steffen Lepa, Martin Herzog, Jochen Steffens, Andreas Schoenrock & Hauke Egermann. (2020) A computational model for predicting perceived musical expression in branding scenarios. Journal of New Music Research 49:4, pages 387-402.
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Frederick S. Barrett, Katrin H. Preller & Mendel Kaelen. (2018) Psychedelics and music: neuroscience and therapeutic implications. International Review of Psychiatry 30:4, pages 350-362.
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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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Arefin Huq, Juan Pablo Bello & Robert Rowe. (2010) Automated Music Emotion Recognition: A Systematic Evaluation. Journal of New Music Research 39:3, pages 227-244.
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Mikael Laurson, Mika Kuuskankare & Kimmo Kuitunen. (2008) The Visualization of Computer-Assisted Music Analysis Information in PWGL. Journal of New Music Research 37:1, pages 61-76.
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Articles from other publishers (37)

Tim ZiemerTim Ziemer. 2023. Psychoakustische Schallfeldsynthese für Musik. Psychoakustische Schallfeldsynthese für Musik 11 49 .
Alexander Lerch. 2022. An Introduction to Audio Content Analysis. An Introduction to Audio Content Analysis 337 346 .
Xin Wang, Yujia Wei & Dasheng Yang. (2021) Cross‐cultural analysis of the correlation between musical elements and emotion. Cognitive Computation and Systems 4:2, pages 116-129.
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Xin Wang, Yujia Wei, Lena Heng & Stephen McAdams. (2021) A Cross-Cultural Analysis of the Influence of Timbre on Affect Perception in Western Classical Music and Chinese Music Traditions. Frontiers in Psychology 12.
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Isabelle Dufour & George Tzanetakis. (2021) Using Circular Models to Improve Music Emotion Recognition. IEEE Transactions on Affective Computing 12:3, pages 666-681.
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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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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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Scott Bannister. (2020) A Vigilance Explanation of Musical Chills? Effects of Loudness and Brightness Manipulations. Music & Science 3, pages 205920432091565.
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Tim ZiemerTim Ziemer. 2020. Psychoacoustic Music Sound Field Synthesis. Psychoacoustic Music Sound Field Synthesis 9 43 .
Aimee Battcock & Michael Schutz. (2019) Acoustically Expressing Affect. Music Perception 37:1, pages 66-91.
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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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Yu-Hao Chin, Jia-Ching Wang, Ju-Chiang Wang & Yi-Hsuan Yang. (2018) Predicting the Probability Density Function of Music Emotion Using Emotion Space Mapping. IEEE Transactions on Affective Computing 9:4, pages 541-549.
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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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Tim Ziemer, Yi Yu & Suhua Tang. (2016) Using Psychoacoustic Models for Sound Analysis in Music. Using Psychoacoustic Models for Sound Analysis in Music.
Ju-Chiang Wang, Yi-Hsuan Yang, Hsin-Min Wang & Shyh-Kang Jeng. (2015) Modeling the Affective Content of Music with a Gaussian Mixture Model. IEEE Transactions on Affective Computing 6:1, pages 56-68.
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Rory Lewis, Michael Bihn & Chad Mello. 2015. Foundations of Intelligent Systems. Foundations of Intelligent Systems 290 299 .
Antonio Roda, Sergio Canazza & Giovanni De Poli. (2014) Clustering Affective Qualities of Classical Music: Beyond the Valence-Arousal Plane. IEEE Transactions on Affective Computing 5:4, pages 364-376.
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Hui-Min Wang & Sheng-Chieh Huang. (2014) Musical Rhythms Affect Heart Rate Variability: Algorithm and Models. Advances in Electrical Engineering 2014, pages 1-14.
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Xing Wang, Yuqian Wu, Xiaoou Chen & Deshun Yang. (2013) Enhance popular music emotion regression by importing structure information. Enhance popular music emotion regression by importing structure information.
Tuomas Eerola. (2012) Modeling Listeners’ Emotional Response to Music. Topics in Cognitive Science 4:4, pages 607-624.
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Tuomas Eerola, Rafael Ferrer & Vinoo Alluri. (2012) Timbre and Affect Dimensions: Evidence from Affect and Similarity Ratings and Acoustic Correlates of Isolated Instrument Sounds. Music Perception 30:1, pages 49-70.
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Alexander Lerch. 2012. An Introduction to Audio Content Analysis. An Introduction to Audio Content Analysis 207 242 .
Yi-Hsuan Yang & Homer H. Chen. (2012) Machine Recognition of Music Emotion. ACM Transactions on Intelligent Systems and Technology 3:3, pages 1-30.
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Freya Bailes & Roger T. Dean. (2012) Comparative Time Series Analysis of Perceptual Responses to Electroacoustic Music. Music Perception 29:4, pages 359-375.
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Roger T. Dean, Freya Bailes & Emery Schubert. (2011) Acoustic Intensity Causes Perceived Changes in Arousal Levels in Music: An Experimental Investigation. PLoS ONE 6:4, pages e18591.
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Freya BailesRoger T. Dean. (2011) The Perceived Affective Expression of Computer-Manipulated Sung Sounds. Computer Music Journal 35:1, pages 90-104.
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Tuomas EerolaJonna K. Vuoskoski. (2010) A comparison of the discrete and dimensional models of emotion in music. Psychology of Music 39:1, pages 18-49.
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Marc Leman, Micheline Lesaffre, Luc Nijs & Alexander Deweppe. (2010) User-oriented studies in embodied music cognition research. Musicae Scientiae 14:2_suppl, pages 203-223.
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Olmo Cornelis, Micheline Lesaffre, Dirk Moelants & Marc Leman. (2010) Access to ethnic music: Advances and perspectives in content-based music information retrieval. Signal Processing 90:4, pages 1008-1031.
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TUOMAS EEROLA. (2010) A nalysing E motions in S chubert ' s E rlkönig : a C omputational A pproach . Music Analysis 29:1-3, pages 214-233.
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Roddy Cowie, Cian Doherty & Edelle McMahon. (2009) Using dimensional descriptions to express the emotional content of music. Using dimensional descriptions to express the emotional content of music.
Freya Bailes & Roger T Dean. (2009) Listeners Discern Affective Variation in Computer-Generated Musical Sounds. Perception 38:9, pages 1386-1404.
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Freya Bailes & Roger T. Dean. (2009) When Is Noise Speech? A Survey in Sonic Ambiguity. Computer Music Journal 33:1, pages 57-67.
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Micheline Lesaffre, Liesbeth De Voogdt, Marc Leman, Bernard De Baets, Hans De Meyer & Jean-Pierre Martens. (2008) How potential users of music search and retrieval systems describe the semantic quality of music. Journal of the American Society for Information Science and Technology 59:5, pages 695-707.
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Micheline Lesaffre & Marc Leman. 2007. Theoretical Advances and Applications of Fuzzy Logic and Soft Computing. Theoretical Advances and Applications of Fuzzy Logic and Soft Computing 89 98 .
Marc Leman & Antonio Camurri. (2016) Understanding musical expressiveness using interactive multimedia platforms. Musicae Scientiae 10:1_suppl, pages 209-233.
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A. Camurri, G. Volpe, G. De Poli & M. Leman. (2005) Communicating expressiveness and affect in multimodal interactive systems. IEEE Multimedia 12:1, pages 43-53.
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