Skip to main content
Overview
Affiliations
AffiliationRoom numberTelephone
Professor of Music Cognition in the Department of Music102, Divinity House+44 (0) 191 33 43150

Biography

Tuomas Eerola is Professor in Music Cognition in Durham University. He obtained his MA degree in musicology at the University of Jyväskylä (Finland) in 1997. His pre-doctoral work involved periods of study at Leicester University (UK) and Cornell University (USA). In 2003, he finished his PhD at University of Jyväskylä in musicology (music cognition). In 2003-2006, he worked as postdoctoral researcher at the same institution, followed by a postdoctoral position at an EU Project (Tuning the Brain for Music). Between 2007 and 2013, he held a professorship at the the University of Jyväskylä (Finland), first associated with Music, Mind & Technology MA programme and later as a Chair of Musicology. Eerola was affiliated with the Finnish Centre of Excellence in Interdisciplinary Music Research. At Music Department at Durham University, he has served as the Director of Research (2013-2015) and the Head of Department (2018-2020).

Professor Eerola has lead several major research projects, Sweet Sorrow funded by the Academy of Finland (2013-2017). He has been the co-investigator in Interpersonal Entrainment in Music Performance, funded by the Arts and Humanities Research Council (AHRC, 2016-18), led by Martin Clayton and the other co-investigators being Antonio Camurri (Genoa) and Peter Keller (Sydney). He is currently involved in two funded research projects (EnTimeMent, funded by EU FET programme led by Antonio Camurri, and Social cohesion and resilience through intercultural music engagement, which is funded by Australian Research Council and led by Jane Davidson and Bill Thompson).

Tuomas Eerola has published more than 70 journal articles in the past 10 years (see Google Scholar or ORCID). Eerola has been the President of Finnish Musicological Society and serves on several editorial boards including the journals Psychology of Music, Empirical Musicology Review, and Psychomusicology.

To read more about music psychology at Durham, see Music & Science Lab and Music Psychology at Durham.

Research interests

  • Music and emotions
  • Music perception, particularly melody, rhythm and timbre
  • Music and movement

Esteem Indicators

  • 2013: Editorial Board Member for Musicae Scientiae:
  • 2013: Editorial Board Member for Psychology of Music:
  • 2013: Invited speaker: Sound and Music Computing Conference, 2013, Stockholm, Sweden
  • 2013: Invited speaker: Summer School on Musical Understanding, Sheffield.

Publications

Authored book

  • Eerola, T., Myllyaho, M., Pöyhönen, M., Savolainen, P. & Toiviainen, P. (2006). Musica viva! - Matti Vainion juhlakirja. Minerva.
  • Eerola, T. (2003). The dynamics of musical expectancy: cross-cultural and statistical approaches to melodic expectations. University of Jyväskylä.
  • Eerola, T., Louhivuori, J. & Moisala, P. (2003). Johdatus musiikintutkimukseen. Helsinki: Suomen musiikkitieteellinen seura.
  • Eerola, T. & Toiviainen, P. (2003). MIDI toolbox: MATLAB tools for music research. Jyväskylä, Finland: University of Jyväskylä.
  • Erkkilä, J. & Eerola, T. (2001). Hallitsetko sinä pelejä vai pelit sinua? - Tutkimus ongelmapelaajien monimenetelmäisestä kuntoutusprojektista. Jyväskylä Suomen musiikkiterapiayhdistys ry.

Chapter in book

  • Vuoskoski, J. K. & Eerola, T. (2019). Personality and Musicians. In The Science and Psychology of Music: From Mozart at the Office to Metallica at the Gym. Thompson, W. F. & Olsen, K. ABC-CLIO.
  • Eerola, T. & Vuoskoski, J. K. (2019). Personality and Listeners. In The Science and Psychology of Music: From Mozart at the Office to Metallica at the Gym. Thompson, W. F. & Olsen, K. ABC-CLIO.
  • Eerola, T. (2018). Music and Emotion. In Music psychology. Springer handbook of systematic musicology. Bader, Rolf Berlin, Heidelberg: Springer. 539-554.
  • Eerola, T. (2014). Database studies. In Music in the Social and Behavioral Sciences: An Encyclopedia. Thompson, William Forde Sage. 316-319.
  • Eerola, T. (2014). Complexity. In Music in the Social and Behavioral Sciences: An Encyclopedia. Thompson, William Forde Sage. 227-229.
  • Eerola, T. (2014). Melody processing. In Music in the Social and Behavioral Sciences: An Encyclopedia. Thompson, William Forde Sage. 684-687.
  • Eerola, T. (2014). Similarity, Melodic. In Music in the Social and Behavioral Sciences: An Encyclopedia. Thompson, William Forde Sage. 1003-1006.
  • Eerola, T. & Punkanen, M. (2012). King of Sorrow - Perception and experience of sadness in music. In New York, US: Nova. Psychology of Sadness: 31-52.
  • Vuoskoski, J. K. & Eerola, T. (2012). Empathy contributes to the intensity of music-induced emotions. In Proceedings of the 10th International Conference on Music Perception and Cognition (ICMPC10). European Society for Cognitive Sciences of Music. 1112-1113.
  • Ferrer, R. & Eerola, T. (2011). Looking Beyond Genres: Identifying Meaningful Semantic Layers from Tags in Online Music Collections. In Machine Learning and Applications and Workshops (ICMLA), 2011 10th International Conference on. California, US: IEEE Computer Society. 2: 112-117.
  • Eerola, T. (2010). Musiikki ja kuluttajakäyttäytyminen. In Musiikkipsykologia. Louhivuori, J. & Saarikallio, S. Helsinki, Finland: Atena Kustannus. 327-339.
  • Eerola, T. (2010). Evoluutiopsykologia ja musiikki. In Musiikkipsykologia. Louhivuori, J. & Saarikallio, S. Jyväskylä, Finland: Atena Kustannus. 343-353.
  • Eerola, T. & Saarikallio, S. (2010). Musiikki ja tunteet. In Musiikkipsykologia. Louhivuori, J. & Saarikallio, S. Jyväskylä, Finland: Atena Kustannus. 259-278.
  • Zentner, Marcel R. & Eerola, T. (2010). Handbook of Music and Emotion. In Juslin, P. N. & Sloboda, J. A. Boston, MA: Oxford University Press. 187-221.
  • Eerola, T. (2010). Musiikkipsykologian historia. In Musiikkipsykologia. Louhivuori, J. & Saarikallio, S. Jyväskylä, Finland: Atena Kustannus. 13-30.
  • Eerola, T. (2010). Musical listening habits of College students in Finland, Slovenia, South Africa, and Texas: Similarities and Differences. In Schuler, N. & others Hamburg, Germany: Peter Lang. 59-70.
  • Erkkilä, J. & Eerola, T. (2010). Gambling Addiction: Evaluation of a Multimethod Treatment Programme Including Music Therapy. In Music Therapy and Addictions. Aldridge, D. & Fachner, J. London, UK: Jessica Kingsley. 132-151.
  • Fornari, J. & Eerola, T. (2009). The Pursuit of Happiness in Music: Retrieving Valence with Contextual Music Descriptors. In Computer Music Modeling and Retrieval. Genesis of Meaning in Sound and Music. Ystad, Sølvi, Kronland-Martinet, Richard & Jensen, Kristoffer Berlin / Heidelberg: Springer. 5493: 119-133.
  • Lartillot, O., Toiviainen, P. & Eerola, T. (2008). A Matlab Toolbox for Music Information Retrieval. In Data Analysis, Machine Learning and Applications. Preisach, C., Burkhardt, H., Schmidt-Thieme, L. & Decker, R. Berlin, Germany: Springer. 261-268.
  • Eerola, T. (2008). Mapping Musical Features to Perceived Emotions Using Partial Least Squares Regression. In Proceedings of the 10th International Conference on Music Perception and Cognition (ICMPC10). Sapporo, Japan: University of Hokkaido. X.
  • Toiviainen, P. & Eerola, T. (2007). Musiikki, tiede, kognitio ja teknologia - moderni musiikintutkimuksen paradigma. In Humanistista kirjoa. Hanka, H., Ylönen, I. & Tynkkynen, M.-L. Jyväskylä, Finland: University of Jyväskylä. 105-119.
  • Eerola, T. & Toiviainen, P. (2006). Ilmari Krohn - musiikin sisältöhaun pioneeri. In Musica viva! - Matti Vainion juhlakirja. Eerola, T., Myllyaho, M., Pöyhönen, M., Savolainen, P. & Toiviainen, P. Jyväskylä Minerva. 113-121.
  • Eerola, T., Luck, G. & Toiviainen, P. (2006). An investigation of pre-schoolers' corporeal synchronization with music. In Baroni, M., Addessi, A. R., Caterina, R. & Costa, M. ICMPC and ESCOM. 472-476.
  • Toiviainen, P. & Eerola, T. (2005). Classification of musical metre with autocorrelation and discriminant functions. In London,UK: Queen Mary, University of London. 351-357.
  • Toiviainen, P. & Eerola, T. (2004). The role of accent periodicities in meter induction: A classification study. In Proceedings of the 8th International Conference on Music Perception & Cognition, Evanston, 2004. Adelaide, Australia: Causal Productions. 422-425.
  • Eerola, T. & Toiviainen, P. (2004). MIR in Matlab: The Midi Toolbox. In Proceedings of 5th International Conference on Music Information Retrieval (ISMIR 2004). Barcelona, Spain: Universitat Pompeu Fabra. 22-27.
  • Eerola, T. (2004). Data-driven influences on melodic expectancy: Continuations in North Sami Yoiks rated by South African traditional healers. In Proceedings of the 8th International Conference on Music Perception & Cognition, Evanston, IL, 2004. Adelaide, Australia: Causal Productions. 83-87.
  • Toiviainen, P. & Eerola, T. (2003). Where is the beat?: Comparison of Finnish and South African listeners. In Proceedings of the 5th Triennial ESCOM Conference. Hanover, Germany: Hanover University of Music and Drama. 501-504.
  • Eerola, T. (2003). Musiikkipsykologia. In Johdatus musiikintutkimukseen. Eerola, T., Louhivuori, J. & Moisala, P. Helsinki: Suomen musiikkitieteellinen seura. 259-270.
  • Eerola, T., Louhivuori, J. & Moisala, P. (2003). Musiikintutkimuksen koulutus Suomessa. In Johdatus musiikintutkimukseen. Eerola, T., Louhivuori, J. & Moisala, P. Helsinki: Suomen musiikkitieteellinen seura. 405-412.
  • Toiviainen, P., Eerola, T. & Louhivuori, J. (2003). Kognitiivinen musiikkitiede. In Johdatus musiikintutkimukseen. Eerola, T., Louhivuori, J. & Moisala, P. Helsinki: Suomen musiikkitieteellinen seura. 87-110.
  • Eerola, T. (2003). Musiikintutkimusta edistäviä järjestöjä. In Johdatus musiikintutkimukseen. Eerola, T., Louhivuori, J. & Moisala, P. Helsinki: Suomen musiikkitieteellinen seura. 381-384.
  • Eerola, T., Toiviainen, P. & Krumhansl, C. L. (2002). Real-time prediction of melodies: Continuous predictability judgments and dynamic models. In Proceedings of the 7th International Conference on Music Perception and Cognition. Sydney, Australia: Causal Productions. 473-476.
  • Toiviainen, P. & Eerola, T. (2002). A computational model of melodic similarity based on multiple representations and self-organizing maps. In Proceedings of the 7th International Conference on Music Perception and Cognition. Sydney, Australia: Causal Productions. 236-239.
  • Louhivuori, J. & Eerola, T. (2001). Cross-cultural approach in music cognition. In Proceedings of the VII International Symposium on Systematic and Comparative Musicology and III International Conference on Cognitive Musicology. University of Jyväskylä, Finland. 107.
  • Erkkilä, J. & Eerola, T. (2001). Music therapy methods in the treatment of gambling addiction. In Proceedings of the European Conference of Music Therapy, Naples, Italy.
  • Toiviainen, P. & Eerola, T. (2001). A method for comparative analysis of folk music based on musical feature extraction and neural networks. In Proceedings of the VII International Symposium on Systematic and Comparative Musicology and III International Conference on Cognitive Musicology. University of Jyväskylä, Finland. 41-45.
  • Eerola, T. & North, A. C. (2000). Expectancy-based model of melodic complexity. In Proceedings of the Sixth International Conference on Music Perception and Cognition. Woods, C., Luck, G. B., Brochard, R., O'Neill, S. A. & Sloboda, J. A. Keele, Staffordshire, UK: Department of Psychology, Keele University. 1177-1183.
  • Eerola, T., Järvinen, T., Louhivuori, J. & Toiviainen, P. (2000). Categorising folk melodies using similarity ratings. In Proceedings of the Sixth International Conference on Music Perception and Cognition. Keele, Staffordshire, UK: Department of Psychology, Keele University. 677-682.
  • Heinonen, Y. & Eerola, T. (2000). The Beatles and their times. Thoughts on the relative autonomy of stylistic change. In Beatlestudies 2: History, Identity, Authenticity. Jyväskylä University of Jyväskylä. 1-42.
  • Heinonen, Y. & Eerola, T. (1998). Songwriting, recording, and style change. Problems in the chronology and periodization of the musical style of the Beatles. In Beatlesstudies 1. Jyväskylä University of Jyväskylä. 1-32.

Conference Paper

  • Eerola, T. (2014), Modelling Emotions in Music: Advances in Conceptual, Contextual and Validity Issues, in Dittmar, C., Fazekas, G. & Ewert, S. eds, Proceedings of the AES 53rd International Conference on Semantic Audio. London, England, Audio Engineering Society, London, 27-29.
  • Eerola, T. (2013), Modelling Emotional Effects of Music: Key Areas of Improvement, in Bresin, R. eds, 10th Sound and Music Computing Conference. Stockholm, Sweden, Logos Verlag Berlin, Stockholm, 269-276.
  • Saari, P., Barthet, M., Fazekas, G., Eerola, T. & Sandler, M. (2013), Semantic Models of Mood Expressed by Music: Comparison between Crowd-sourced and Curated Editorial Annotations, 2013 IEEE International Conference on Multimedia and Expo (ICME 2013): International Workshop on Affective Analysis in Multimedia (AAM). San Jose, CA, IEEE, 1-6.
  • Saari, Pasi, Eerola, Tuomas, Fazekas, György, Barthet, Mathieu, Lartillot, Olivier & Sandler, Mark (2013), The Role of Audio and Tags in Music Mood Prediction: a Study Using Semantic Layer Projection, in de Souza Britto Junior, Alceu, Gouyon, Fabien & Dixon, Simon eds, ISMIR. Curitiba, Brazil, International Society for Music Information Retrieval, Curitiba, 201-206.
  • Saari, P., Eerola, T., Fazekas, G. & Sandler, M. (2013), Using Semantic Layer Projection for Enhancing Music Mood Prediction With Audio Features, in Bresin, R. eds, 10th Sound and Music Computing Conference. Stockholm, Sweden, Logos Verlag Berlin, Stockholm, 722-728.
  • Ferrer, R. & Eerola, T. (2011), AMP: Artist-based Musical Preferences Derived from Free Verbal Responses and Social Tags, 2011 IEEE International Conference on Conference on Multimedia and Expo (ICME 2011). Barcelona, Spain, IEEE, 1-6.
  • Abeßer, J., Lartillot, O., Dittmar, C., Eerola, T. & Schuller, G. (2011), Modeling musical attributes to characterize ensemble recordings using rhythmic audio features, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Prague, IEEE, 189-192.
  • Ferrer, R. & Eerola, T. (2010), Timbral Qualities of Semantic Structures of Music, in Downie, J. S. & Veltkamp, R. C. eds, 11th International Conference on Music Information Retrieval (ISMIR 2010). Utrecht, Netherlands, 571-576.
  • Tuuri, K., Eerola, T. & Pirhonen, A. (2010), Leaping Across Modalities: Speed Regulation Messages in Audio and Tactile Domains, Lecture Notes in Computer Science 6306: 5th International Workshop on Haptic and Audio Interaction Design (HAID). Copenhagen, Denmark, Springer, 10-19.
  • Eerola, T. & Ferrer, R. (2009), Setting the Standards: Normative data on audio-based musical features for musical genres, 7th Triennial Conference of European Society for the Cognitive Sciences of Music. Jyväskylä, Finland.
  • Eerola, T., Friberg, A. & Bresin, R. (2009), The microstructure of emotional expression in music: Relative importance and range of seven musical features, 7th Triennial Conference of European Society for the Cognitive Sciences of Music. Jyväskylä, Finland.
  • Ferrer, R., Eerola, T. & Vuoskoski, J. K. (2009), Is preference for musical genres an adequate measure of musical taste?, 7th Triennial Conference of European Society for the Cognitive Sciences of Music. Jyväskylä, Finland.
  • Eerola, T. & Vuoskoski, J. K. (2009), Music that stirs up emotions? A review of approaches, models and stimuli used in music and emotion studies, 7th Triennial Conference of European Society for the Cognitive Sciences of Music. Jyväskylä, Finland.
  • Eerola, T., Lartillot, O. & Toiviainen, P. (2009), Prediction of Multidimensional Emotional Ratings in Music from Audio Using Multivariate Regression Models, in Hirata, K. & Tzanetakis, G. eds, 10th International Conference on Music Information Retrieval (ISMIR 2009). Dagstuhl, Germany, International Society for Music Information Retrieval, Dagstuhl, 621-626.
  • Vuoskoski, J. K. & Eerola, T. (2009), The role of personality in the perception and experience of music-mediated emotions, 7th Triennial Conference of European Society for the Cognitive Sciences of Music. Jyväskylä, Finland.
  • Laurier, C., Lartillot, O., Eerola, T. & Toiviainen, P. (2009), Exploring relationships between audio features and emotion in music, in Louhivuori, J., Eerola, T., Saarikallio, S., Himberg, T. & Eerola, P.-S. eds, 7th Triennal Conference of European Society for Cognitive Sciences of Music (ESCOM 2009). Jyväskylä, Finland, European Society for Cognitive Sciences of Music, 260-264.
  • Vuoskoski, J. K. & Eerola, T. (2008), Domain-Specific or Not? The Applicability of Different Emotion Models in the Assessment of Music-Induced Emotions, in Miyazaki, Ken'ichi eds, 10th International Conference on Music Perception and Cognition (ICMPC10). Sapporo, Japan, 196-199.
  • Fornari, J. & Eerola, T. (2008), Predicting Emotional Prosody of Music with High-Level Acoustic Features, EMUS - Expressivity in MUsic and Speech. Campinas, IRCAM.
  • Lartillot, O., Eerola, T., Toiviainen, P. & Fornari, J. (2008), Multi-Feature Modeling of Pulse Clarity: Design, Validation, and Optimisation, in Pakarinen, Jyri, Erkut, Cumhur, Penttinenm, Henri & Välimäki, Vesa eds, 11th International Conference on Digital Audio Effects (DAFx-08). Espoo, 305-308.
  • Lartillot, O., Eerola, T., Toiviainen, P. & Fornari, J. (2008), Multi-feature modeling of pulse clarity: Design, validation, and optimization, in Kim, Youngmoo eds, ISMIR 2008 International Conference on Music Information Retrieval. Philadelphia, PA, 521-526.
  • Fornari, J. & Eerola, T. (2008), Estimating the Perception of Complexity in Musical Harmony, in Miyazaki, Ken'ichi eds, 10th International Conference on Music Perception and Cognition (ICMPC10). Sapporo, University of Hokkaido, Hokkaido, 254-257.
  • Eerola, T., Alluri, V. & Ferrer, R. (2008), Emotional Connotations of Isolated Instruments Sounds, in Miyazaki, Ken'ichi eds, 10th International Conference on Music Perception and Cognition (ICMPC10). Sapporo, Japan, University of Hokkaido, Hokkaido, 483-489.
  • Tuuri, Kai & Eerola, Tuomas (2008), Identifying Function-Specific Prosodic Cues for the Needs of Non-Speech User Interface Sound Design, in Pakarinen, Jyri, Erkut, Cumhur, Penttinenm, Henri & Välimäki, Vesa eds, 11th International Conference on Digital Audio Effects (DAFx-08), Espoo, Finland, September 1-4, 2008. Espoo.
  • Tuuri, Kai & Eerola, Tuomas (2008), Could Function-Specific Prosodic Cues be Used as a Basis for Non-Speech User Interface Sound Design?, in Susini, P. & Warusfel, O. eds, 14th International Conference on Auditory Display. Paris, IRCAM (Institut de Recherche et Coordination Acoustique/Musique).
  • Lartillot, O., Eerola, T., Toiviainen, P., Fornari, J. Lartillot, O., Eerola, T., Toiviainen, P. & Fornari, J. (2008), Multi-Feature Modeling of Pulse Clarity from Audio, in Miyazaki, Ken'ichi eds, 10th International Conference on Music Perception and Cognition (ICMPC10). Sapporo, University of Hokkaido, Hokkaido, 531-539.

Conference Proceeding

  • Toiviainen, P. & Eerola, T. (2006). Visualization in comparative music research. COMPSTAT 2006 - Proceedings in Computational Statistics, Heidelberg, Physica-Verlag.

Edited Sources, Research Data Sets and Databases

  • Maksimainen, Johanna, Wikgren, Jan, Eerola, Tuomas & Saarikallio, Suvi (2017). The effect of memory in inducing pleasant emotions of musical and pictorial stimuli. Harvard Dataverse.

Journal Article

Supervision students