I studied Systematic Musicology, Historic Musicology and Journalism at the universities of Hamburg (Germany) and Salamanca (Spain). I did my doctoral dissertation in Systematic Musicology on memory for melodies under the supervision of Albrecht Schneider at the University of Hamburg and obtained my PhD in 2005. From April 2006 until June 2009 I worked as a Research Fellow in the Computing department at Goldsmiths College, University of London. Since July 2009 I have been a lecturer, and since 2015 Reader, in the Psychology department at Goldsmiths, part of the Music, Mind and Brain research group, and director of the Master's course in Music Mind and Brain at Goldsmiths. Since September 2010 I am also working as Scientist in Residence with the London-based advertising agency DDB UK.

In 2016 I received the Anneliese Maier award from the German Humboldt foundation. I'm also the current editor of the online open access journal Empirical Musicology Review. From September 2022 to January 2023 I am a guest professor at Jazeps Vitols Latvian Academy of Music in Riga, mainly supervising PhD students and working on musical talent development in adolescence.

In my non-academic work, I have been working as a freelance expert witness in music law cases for numerous music publishers and producers, record labels, law firms, and in court since 1999. I'm a co-founder of musikgutachten.de GbR, a consultancy for music copyright affairs which is now directed by Dr Klaus Frieler in Germany. From 2000 until 2006 I was a project manager and business development manager for PhonoNet GmbH, a technical subsidiary of the German Association of the Music Industry.

Since July 2009 I am working as a course co-director and lecturer on the Master's course Music Mind and Brain in the Psychology Department at Goldsmiths College

From 2006 to 2009 I have been working as a Research Fellow in the Intelligent Sound and Music Systems (ISMS) group at Goldsmiths College, mainly on the EPSRC supported M4S project, Investigating Human Memory for Melodies and Melodic Similarity Perception. Results, publications, and software developed during that project can be found here.

Some of my past research projects have included earworms, and in particular the musical structure of these tunes that stick in our heads (supported by a British Academy small grant and a Leverhulme grant), the development of the Goldsmiths Musical Sophistication Index (Gold-MSI), a psychometric tool to measure the level of musical sophistication and expertise in the general population (supported by Goldsmiths Early Career Award), and the notion of melodic similarity in the context of court cases of musical plagiarism (supported by a departmental pump priming grant). In addition, I have been a Co-Investigator on the AHRC supported large grant "Transforming Musicology", investigating cognitive mechanisms relevant for the perception of Leitmotives in Richrad Wagner's music. I have been Scientist in Residence with advertising agency adam&eveDDB and I'm also developing tests to assess the effectiveness of sonic branding assets which is the focus of a joint InnovateUK project toghether with SoundOut.

The main project I'm currently working on is the LongGold project that investigates the development of musical abilities and their relationship to cognitive and psycho-social skills. The project is designed as a longitudinal study with secondary school students in the UK and Germany.

I developed an open source software toolbox for melodic feature analysis called FANTASTIC implemented in R. The code can be downloaded here and the algorithms and features implemented in FANTASTIC are documented in this technical report.

Together with Klaus Frieler I developed a software for similarity computation called SIMILE which is described in this documentation. The binary for Windows is available upon request.

Recently I have been involved in the psychometric development of a range of performance tests assessing various musical as well as non-musical abilities. These tests are freely available via the psychTestR software package for R developed by Peter Harrison, along with a battery of questionnaires on psycho-social skills and attitudes. Demos of tests and questionnaires can be found here.

• Møller, C., Hansen, N. Chr., Vuust, P., & Müllensiefen, D. (2024). The Danish Goldsmiths Musical Sophistication Index: Validation in Samples with Different Degrees of Representativeness. Music & Science, 7. https://doi.org/10.1177/20592043241289087
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• Eitel, M., Ruth, N., Harrison, P., Frieler, K., & Müllensiefen, D. (2024). Perception of Chord Sequences Modeled with Prediction by Partial Matching, Voice-Leading Distance, and Spectral Pitch-Class Similarity: A New Approach for Testing Individual Differences. Music & Science, 7. https://doi.org/10.1177/20592043241257654
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• Silas, S., Baker, D.J., & Müllensiefen, D. (2024). Musical Manipulation of Visual Scenes in Video, Film, and TV Advertisements: A Large-Scale Investigation into the Implicit Effects of Sonic Branding. Journal of Advertising Research, 64(2), 192-212. https://doi.org/10.2501/JAR-2024-013
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• Lippolis, M., Carraturo, G., Ferreri, L., Vuust, P., Müllensiefen, D., Matarelli, B., & Brattico, E. (2024). Sensitivity to Social Reward in Music Behavior Changes After Music Training in Preadolescence. Advances in cognitive Psychology, 19(4), 106-125. https://doi.org/10.5709/acp-0409-z
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• Silas, S. & Müllensiefen, D. (2023). Learning and recalling melodies: A computational investigation using the melodic recall paradigm. Music Perception. https://doi.org/10.1525/MP.2023.41.2.77
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• Cocchini, C., Müllensiefen, D., Platania, R., Niglio, C., Tricomi, E., Veronelli, L., & Judica, E. (2023). Back and front peripersonal space: behavioural and EMG evidence of top?down and bottom?up mechanisms. Experimental Brain Research. https://doi.org/10.1007/s00221-023-06740-4
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• Hake, R., B?rgel, R., Nguyen, N., Greasley, A., Müllensiefen, D., & Siedenburg, K.(2023). Development of an adaptive test of musical scene analysis abilities for normal-hearing and hearing-impaired listeners. Behavior Research Methods. https://doi.org/10.3758/s13428-023-02279-y
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• Floridou, G., Mencke, I., Caprini, F., & Müllensiefen, D. (2023). The Genesis of a Tune in the Mind: An Interview Study About Novel Involuntary Musical Imagery Repetition. Music & Science. https://doi.org/10.1177/20592043231202331
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• Yuan, Y., Cronin, C., Müllensiefen, D., Fujii, S., & Savage, P. E.(2023). Perceptual and automated estimates of infringement in 40 music copyright cases. Transactions of the International Society for Music Information Retrieval, 6(1), 117-134. https://doi.org/10.5334/tismir.151
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• Silas, S., Müllensiefen, D. & Kopiez, R. (2023). Singing Ability Assessment: Development and validation of a singing test based on item response theory and a general open-source software environment for singing data. Behavior Research Methods. https://doi.org/10.3758/s13428-023-02188-0
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• Eisinger, M., Fiedler, D. & Müllensiefen, D. (2023). Der Einfluss von subjektiven Theorien ?ber Musikalit?t auf die Entwicklung der musikalischen Aktivit?t von Sch?ler*innen. [The Impact of Mindsets of Musicality on the Development of Students? Musical Activity] In M. G?llner et al. (Eds.), 44th Yearbook of the German Association for Research in Music Education (pp. 231-250). M?nster: Waxmann. [in German]
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• Anstee, L., & Müllensiefen, D., & Harrison, P. (2023). Handedness and musicality in secondary school students. Music Perception. DOI: https://doi.org/10.1525/MP.2023.40.5.373.
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• Passarotto, E., Altenmüller, E., & Müllensiefen, D. (2023). Music Performance Assessment: Noise in Judgments and Reliability of Measurements. Psychology of Aesthetics, Creativity, and the Arts. DOI: https://dx.doi.org/10.1037/aca0000574.
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• Savage, P., Jacoby, N., Margulis, E.,..., Müllensiefen, D., ..., & Schippers, H. (2023). Building Sustainable Global Collaborative Networks: Recommendations from Music Studies and the Social Sciences. In E. Margulis, P. Loui, & D. Loughbridge (Eds.), The Science-Music Borderlands: Reckoning with the Past and Imagining the Future, (pp. 347-365). Cambridge [MA]: MIT Press.
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• Pausch, V., Harrison, P., H?ger, F., Müllensiefen, D., & Frieler, K. (2023). psychTestR ? Ein R-Paket f?r (musik-)psychologische Tests und Fragebogeninventare. [psychTestR - An R package for creating (music-)psychological tests and questionnaire inventories.] In P. Moormann & N. Ruth (Eds.), Musik und Internet Aktuelle Ph?nomene popul?rer Kulturen., (pp. 249-259). Wiesbaden: Springer. [in German]
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• Huber, J., Müllensiefen, D., & Kopiez, R. (2023). Von der ?armseligen Allerweltsfloskel? zur ?sch?pferischen Eigenart?. Eine Analyse deutscher Gerichtsentscheidungen zu Plagiaten in der Musik von 1966 bis 2020 [On trivial phrases and creative signatures. An analysis of German court decisions of musical plagiarism cases from 1966 to 2020.] Die Musikforschung, 76(2), 108-129. DOI: https://doi.org/10.52412/mf.2023.H2. [in German]
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• Andrade, P.E., Müllensiefen, D., Andrade, O., Dunstan, J., Zuk, J., & Gaab, N. (2023). Sequence Processing in Music Predicts Reading Skills in Young Readers: A Longitudinal Study. Journal of Learning Disabilities. DOI: https://doi.org/10.1177/00222194231157722.
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• Ruth, N., Tsigeman, E., Likhanov, M., Kovas, Y., & Müllensiefen, D. (2023). Personality and engagement with music: Results from network modeling in three adolescent samples. Psychology of Music. DOI: https://doi.org/10.1177/03057356221135346.
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• MacGregor, C., Ruth, N., & Müllensiefen, D. (2023). Development and validation of the first adaptive test of emotion perception in music. Cognition & Emotion. DOI: https://doi.org/10.1080/02699931.2022.2162003.
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• Müllensiefen, D., Elvers, P., & Frieler, K. (2022). Musical development during adolescence: Perceptual skills, cognitive resources, and musical training. Annals of the New York Acadamy of Sciences, 1518(1), 264-281. DOI: https://doi.org/10.1111/nyas.14911.
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• Cinelyte, U., Cannon, J., Patel, A., & Müllensiefen, D. (2022). Testing beat perception without sensory cues to the beat: the Beat-Drop Alignment Test (BDAT). Attention, Perception, & Psychophysics, 84, 2702-14. DOI: https://doi.org/10.3758/s13414-022-02592-2.
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• Lippolis, M., Müllensiefen, D., Frieler, K., Matarelli, B., Vuust, P., Cassibba, R., & Brattico, E. (2022). Learning to play a musical instrument in the middle school is associated with superior audiovisual working memory and fluid intelligence: A cross-sectional behavioral study. Frontiers in Psychology, 13:982704. DOI: 10.3389/fpsyg.2022.982704.
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• Müllensiefen, D., & Frieler, K. (2022). Statistical Methods in Music Corpus Studies: Application, Use Cases, and Best Practice Examples. In D. Shanahan, A. Burgoyne, & I. Quinn (Eds.),The Oxford Handbook of Music and Corpus Studies. DOI: https://doi.org/10.1093/oxfordhb/9780190945442.013.8.
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• Anglada-Tort, M., Masters, N., Steffens, J., North, A. & Müllensiefen, D. (2022). The Behavioural Economics of Music: Systematic review and future directions. Quarterly Journal of Experimental Psychology. DOI: 10.1177/17470218221113761.
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• Sadakata, M., Yamaguchi, Y., Ohsawa, C., Matusbara, M., Terasawa, H., von Schnehen, A., & Müllensiefen, D. (2022). The Japanese translation of the Gold-MSI: Adaptation and validation of the self-report questionnaire of musical sophistication. Musicae Scientiae. DOI: 10.1177/10298649221110089.
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• Labonde, P. & Müllensiefen, D. (2022). Determinants and trajectories of musical talent in adolescence. [Determinanten und Verl?ufe musikalischer Begabung im Jugendalter]. Zeitschrift f?r Erziehungswissenschaft, 25, 1063-94. DOI: 10.1007/s11618-022-01111-1. [in German]
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• Anglada-Tort, M., Schofield, K., Trahan, T., & Müllensiefen, D. (2022). I?ve heard that brand before: the role of music recognition on consumer choice. International Journal of Advertising, 41(8), 1567-87. DOI: 10.1080/02650487.2022.2060568.
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• Silas, S. Müllensiefen, D., Gelding, R., Frieler, K. & Harrison, P. (2022). The associaitons between music training, musical working memory, and visuospatial working memory: An opportunity for causal modelling. Music Perception, 39(4), 401-420. DOI: https://doi.org/10.1525/mp.2022.39.4.401
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• Pausch, V., Müllensiefen, D., & Kopiez, R. (2022). Musical g Factor or Multiple Factors? Structure and Norms of Musical Ability of Adolescents. [Musikalischer g-Faktor oder multiple Faktoren? Struktur und Leistungskennwerte der musikalischen H?rf?higkeit von Jugendlichen] Yearbook of the German Society for Music Psychology, 30, 161-192. DOI: https://doi.org/10.5964/jbdgm.89. [in German]
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• Lin, H.-R., Kopiez, R., Müllensiefen, D., & Hasselhorn. J. (2022). Predicting academic achievement in music in secondary schools: The role of personality and self-theories of musicality. Psychology of Music, 50(6), 2077-88. DOI: https://doi.org/10.1177/03057356211073479
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• Passarotto, E., Preckel, F., Schneider, M., & Müllensiefen, D. (2022). Deliberate practice in music: Development and validaiton of a standardized measurement instrument. Psychology of Music, 50(5), 1637-55. DOI: https://doi.org/10.1177/03057356211065172.
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• Tsigeman, E., Silas, S., Frieler, K., Likhanov, M., Gelding, R., Kovas, Y., & Müllensiefen, D. (2022). The Jack and Jill Adaptive Working Memory Task: Construction, Calibration and Validation. PLoS ONE, 17(1): e0262200. DOI: https://doi.org/10.1371/journal.pone.0262200.
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• Müllensiefen, D., Kozbelt, A., Olszewski-Kubilius, P., Subotnik, R., Worrell, F.C., & Preckel, F. (2022). Talent development in music. In G. McPherson (Ed.), The Oxford Handbook of Music Performance, Vol. 1. (pp. 84-105). New York: Oxford University Press. DOI: 10.1093/oxfordhb/9780190056285.013.32.

• Buren, V., Müllensiefen, D., Roeske, T. & Degé, F. (2021). What makes a babies musical? Conceptions of musical ability in infants and toddlers. Frontiers in Psychology. DOI: https://doi.org/10.3389/fpsyg.2021.736833
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• Ruth, N. & Müllensiefen, D. (2021). Survival of musical activities. When do young people stop making music? PLoS ONE, 16(11): e0259105. DOI: https://doi.org/10.1371/journal.pone.0259105
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• vonBerg, M., Steffens, J., Weinzierl, S. & Müllensiefen, D. (2021). Assessing room acoustic listening expertise. Journal of the Acoustical Society of America, 150 (4), 2539-2548.
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• Frieler, K. & Müllensiefen, D. (2021). Song and Harmonic Templates in Popular Music. In T. Prill & P. Tillessen (Eds.), Whatever: über doppelte Musik, (pp. 95-101). Leipzig: Spector Books.
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• Buren, V., Müllensiefen, D., Roeske, T. & Degé, F. (2021). What makes a child musical? Conceptions of musical ability in childhood. Early Child Development and Care, 191(12), 1985-2000. DOI: 10.1080/03004430.2020.1866566
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• Müllensiefen, D. & Harrison, P. (2021). The impact of music on adolescents' cognitive and socio-emotional learning. In J. Harrington, J. Beale, A. Fancourt & C. Lutz (Eds.), The 'BrainCanDo' Handbook of Teaching and Learning, (pp. 222-39). London: Routledge.
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• Müllensiefen, D. (2021). Methods for Testing the Emotional Effects of Music in Advertising and Brand Communication. In J. Deaville, S. Tan, & R. Rodman (Eds.) The Oxford Handbook of Music and Advertising, (pp. 697-719). New York: Oxford University Press. DOI: 10.1093/oxfordhb/9780190691240.013.34
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• Gelding, R.W., Harrison, P.M.C., Silas, S., Johnson, B.W., Thompson, W.F. & Müllensiefen, D. (2021). An efficient and adaptive test of auditory mental imagery. Psychological Research. 83(3), 1201-1220. DOI: https://doi.org/10.1007/s00426-020-01322-3.

• Rose, D., Müllensiefen, D., Lovatt, P., & Orgs, G. (2020). The Goldsmiths Dance Sophistication Index (Gold-DSI): A Psychometric Tool to Assess Individual Differences in Dance Experience. Psychology of Aesthetics, Creativity, and the Arts, 16(4), 733-745. DOI: http://dx.doi.org/10.1037/aca0000340
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• Degé, F., Müllensiefen, D., & Schwarzer, G. (2020). Singing abilities and phonological awareness in 9- to 12-Year-Old children. Yearbook of the German Society for Music Psychology, 29(1), e66. DOI: https://doi.org/10.5964/jbdgm.2019v29.66
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• von Berg, M., Steffens, J., Müllensiefen, D., & Weinzierl, S. (2020). Gibt es raumakustische Hörexpertise? [Is there such a thing as listening expertise for room acoustics?] In: Fortschritte der Akustik - DAGA 2020,(pp. 858-861). Hannover: Deutsche Gesellschaft für Akustik. [in German]
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• Frieler, K., & Müllensiefen, D. (2020). Kleine Münze, große Fragen. Musikalische Schöpfungshöhe aus der Perspektive empirischer Musikforschung [Small tokens, big questions. Levels of musical creativity in copyright law observed through the lens of empirical musicology]. In Schrör, S., Fischer, G., Beaucamp, S., & Hondros, K. (Eds.), Tipping Points: Interdisziplinäre Zugänge zu neuen Fragen des Urheberrechts, , (pp. 115-136). DOI: https://doi.org/10.5771/9783748910664-115. [in German]
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• Frieler, K., & Müllensiefen, D. (2020). Neue Entwicklungen in der forensischen Musikpsychologie [New Developments in forensic music psychology]. Yearbook of the German Society for Music Psychology, 29(1), e77. DOI: https://doi.org/10.5964/jbdgm.2019v29.77. [in German]
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• Yuan, Y., Oishi, S., Cronin, C., Müllensiefen, D., Atkinson, Q., Fujii, S., & Savage, P.E. (2020). Perceptual vs. automated judgements of music copyright infringement. In Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR 2020), (pp. 23-29). DOI: https://doi.org/10.31234/osf.io/tq7v5
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• Ruth, N., & Müllensiefen, D. (2020). Associations Between Musical Preferences and Personality in Female Secondary School Students Psychomusicology, 30(4), 202-11. DOI: https://doi.org/10.1037/pmu0000267
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• Gnas, J. Müllensiefen, D. & Preckel, F. (2020). Was denken Musikschullehrkräfte über musikalisch hochbegabte Schülerinnen und Schüler? [Music teachers' opinions on musically highly gifted students] Beiträge empirischer Musikpädagogik, 11, 1-33. [in German]
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• Schaal, N.K., Politimou, N., Franco, F., Stewart, L., & Müllensiefen, D. (2020). The German Music@Home: Validation of a questionnaire measuring at home musical exposure and interaction of young children. PLoS ONE . 15(8): e0235923. DOI: https://doi.org/10.1371/journal.pone.0235923.
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• Correia, A. I., Castro, S. L., MacGregor, C., Müllensiefen, D., Schellenberg, E. G., & Lima, C. F. (2020). Enhanced Recognition of Vocal Emotions in Individuals With Naturally Good Musical Abilities Emotion, 22(5), 894-906. DOI: http://dx.doi.org/10.1037/emo0000770.
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• Anglada-Tort, M., Keller, S., Steffens, J., & Müllensiefen, D. (2020). The Impact of Source Effects on the Evaluation of Music for Advertising: Are there Differences in How Advertising Professionals and Consumers Judge Music? Journal of Advertising Research, 61(1), 95-109. DOI: 10.2501/JAR-2020-016.
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• Thiesen, F., Kopiez, R., Müllensiefen, D., Reuter, Ch. & Czedik-Eysenberg, I. (2020). Duration, song section, entropy: Suggestions for a model of rapid music recognition processes. Journal of New Music Research, 49(4), 334-348. DOI: 10.1080/09298215.2020.1784955.
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• Lee, H., & Müllensiefen, D. (2020). The Timbre Perception Test (TPT): A new interactive musical assessment tool to measure timbre perception ability. Attention, Perception, & Psychophysics , 82, 3658-75. DOI: https://doi.org/10.3758/s13414-020-02058-3.
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• Preckel, F., Golle, J., Grabner, R., Jarvin, L., Kozbelt, A., Müllensiefen, D., Olszewski-Kubilius, P., Subotnik, R., Schneider, W., Vock, M. & Worrell, F.C. (2020). Talent development in achievement domains: A psychological framework for within- und cross-domain research. Perspectives on Psychological Science, 15(3), 691-722. DOI: 10.1177/1745691619895030.
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• Fancourt, D., Garnett, C., & Müllensiefen, D. (2020). The Relationship Between Demographics, Behavioral and Experiential Engagement Factors, and the Use of Artistic Creative Activities to Regulate Emotions. Psychology of Aesthetics, Creativity, and the Arts. DOI: http://dx.doi.org/10.1037/aca0000296.
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• Müllensiefen, D. (2019). Creating tests of musical ability for the 21st century. In G. Schellberg, Th. Krettenauer, A. Heye (Eds.), Musik-Leben-Forschung: Festschrift zum 65. Geburtstag von Heiner Gembris , (pp. 343-360). Berlin: LIT.
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• Lin, H.-R., Kopiez, R., Müllensiefen, D., & Wolf, A. (2019). The Chinese version of the Gold-MSI: Adaptation and validation of an inventory for the measurement of musical sophistication in a Taiwanese sample. Musicae Scientiae. DOI: 10.1177/1029864919871987.
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• MacGregor, C., & Müllensiefen, D. (2019). The Musical Emotion Discrimination Task: A New Measure for Assessing the Ability to Discriminate Emotions in Music. Frontiers in Psychology, 10. DOI: 10.3389/fpsyg.2019.01955.
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• Siedenburg, K., & Müllensiefen, D. (2019). Memory for timbre. In K. Siedenburg, Ch. Saitis, S. McAdams, A.N. Popper, R.R. Fay (Eds.), Timbre: Acoustics, Perception, and Cognition, Springer Handbook of Auditory Research, Vol. 69, (pp. 87-129). Cham (Switzerland): Springer.
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• Larrouy-Maestri, P., Harrison, P., & Müllensiefen, D. (2019). The mistuning perception test: A new measurement instrument. Behavior Research Methods, 51, 663-75. DOI: https://doi.org/10.3758/s13428-019-01225-1.
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• Fancourt, D., Garnett, C., Spiro, N., West, R., & Müllensiefen, D. (2019). How do artistic creative activities regulate our emotions? Validation of the Emotion Regulation Strategies for Artistic Creative Activities Scale (ERS-ACA). PLOS One. DOI: https://doi.org/10.1371/journal.pone.0211362.
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• Anglada-Tort, M., Baker, T., & Müllensiefen, D. (2019). False memories in music listening: exploring the misinformation effect and individual difference factors in auditory memory. Memory, 27(5), 612-627. DOI: https://doi.org/10.1080/09658211.2018.1545858.

• Akkermans, J., Schapiro, R., Müllensiefen, D., Jakubowski, K., Shanahan, D., Baker, D., Busch, V., Lothwesen, K., Elvers, P., Fischinger, T., Schlemmer, K. & Frieler, K. (2018). Decoding emotions in expressive music performances: A multi-lab replication and extension study. Cognition and Emotion, 1099-118. DOI: https://doi.org/10.1080/02699931.2018.1541312.
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• Trahan, T., Durrant, S.J., Müllensiefen, D., & Williamson, V.J. (2018). The music that helps people sleep and the reasons they believe it works: A mixed methods analysis of online survey reports. PLOS One. DOI: https://doi.org/10.1371/journal.pone.0206531.
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• Lima, C.F., Correia, A.I., Müllensiefen, D., & Castro, S.L. (2018). Goldsmiths Musical Sophistication Index (Gold-MSI): Portuguese version and associations with socio-demographic factors, personality and music preferences. Psychology of Music. DOI: https://doi.org/10.1177/0305735618801997.
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• Harrison, P., & Müllensiefen, D. (2018). Development and Validation of the Computerised Adaptive Beat Alignment Test (CA-BAT). Scientific Reports, 8. DOI: https://doi.org/10.1038/s41598-018-30318-8.
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• Savage, P.E., Cronin, C., Müllensiefen, D., Atkinson, Q.D. (2018). Quantitative evaluation of music copyright infringement. Proceedings of the 8th Internatinal Workshop on Folk Music Analysis (FMA2018), (pp. 61-66).
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• Heaton, P., Tsang, W.F., Jakubowski, K., Müllensiefen, D., Allen, R. (2018). Discriminating autism and language impairment and specific language impairment through acuity of musical imagery. Research in Developmental Disabilities, 18, 52-63. DOI: https://doi.org/10.1016/j.ridd.2018.06.001.
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• Politimou, N., Stewart, L., Müllensiefen, D., & Franco, F. (2018). Music@Home: A novel instrument to assess the home musical environment in the early years. PLoS ONE 13(4). DOI: e0193819. https://doi.org/10.1371/journal.pone.0193819.
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• Anglada-Tort, M., Steffens, J. & Müllensiefen, D. (2018). Names and Titles Matter: The Impact of Linguistic Fluency and the Affect Heuristic on Aesthetic and Value Judgements of Music. Psychology of Aesthetics, Creativity, and the Arts, 13(3), 277-292. DOI: http://dx.doi.org/10.1037/aca0000172.
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• Müllensiefen, D. & Hemming, J. (2018). Musikalische Fertigkeiten und ihre Messbarkeit. [Musical skills and their measurement.] In A.C. Lehmann and R. Kopiez (Eds.), Handbuch Musikpsychologie [Handbook Music Psychology], (pp. 93-119). Bern, Hogrefe.
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• Halpern, A. Chan, C., Müllensiefen, D. & Sloboda, J. (2017). Audience reactions to repeating a piece on a concert programme. Participations: Journal of Audience and Reception Studies, 14(2), 135-152.
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• Fiedler, D. & Müllensiefen, D. (2017). Musical self-concept and musical sophistication influence the development of interest in music as a school subject. An empirical long-term study of German students at secondary schools. Musikpädagogische Forschung / Research in Music Education, 38, 217-235. [in German]
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• Anglada-Tort, M., & Müllensiefen, D. (2017). The repeated recording illusion: The effects of extrinsic and individual difference factors on musical judgements. Music Perception 35(1), 92-115. DOI: https://doi.org/10.1525/MP.2017.35.1.92
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• Harrison, P., Collins, T., & Müllensiefen, D. (2017). Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation. Scientific Reports, 7. DOI: 10.1038/s41598-017-03586-z.
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• Müllensiefen, D., Hennig, C., & Howells, H. (2017). Using clustering of rankings to explain brand preferences with personality and socio-demographic variables. Journal of Applied Statistics, 45(6), 1009-1029. DOI: 10.1080/02664763.2017.1339025.
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• Baker, D. & Müllensiefen, D. (2017). Perception of Leitmotives in Richard Wagner's Der Ring des Nibelungen. Frontiers in Psychology, 8. DOI: 10.3389/fpsyg.2017.00662.
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• Müllensiefen, D. (2017). Commentary on 'Effects of learning on dissonance judgments'. Journal of Interdisciplinary Music Studies, 8, 31-32.
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• Siedenburg, K., & Müllensiefen, D. (2017). Modeling Timbre Similarity of Short Music Clips. Frontiers in Psychology, 8, 639. DOI: 10.3389/fpsyg.2017.00639
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• Müllensiefen, D. (2017). Music, Psychology & Advertising. Invited talk at the 4th Brainy Bar event, Unlimited House, London, 24th May 2017.
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• Pearce, M. & Müllensiefen, D. (2017). Compression-based Modelling of Musical Similarity Perception. Journal of New Music Research, 46(2), 135-155. DOI: http://dx.doi.org/10.1080/09298215.2017.1305419
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• Müllensiefen, D. (2017). Musical giftedness and its diagnosis ["Musikalische Begabung und ihre Diagnostik"]. Invited lecture at the 7th Frankfurt Forum, 23rd of March, University of Frankfurt. [in German]
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• Müllensiefen, D. (2017). Measuring musical giftedness ["Messung musikalischer Begabung"]. In: M. Hasselhorn & U. Trautwein (Eds.), Tests & Trends, Vol. 15: Begabungen und Talente, (pp. 125-144). Göttingen: Hogrefe. [in German]
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• Lee, C., Brown, L., & Müllensiefen, D. (2017). The musical impact of multicultural London English (MLE) speech rhythm. Music Perception 34(4), 452-481. DOI: https://doi.org/10.1525/MP.2017.34.4.452
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• Allen, M., Glen, J.C., Müllensiefen, D., Schwarzkopf, D.S., Fardoa, F., Frank, D., Callaghan, M.F., & Rees, G. (2017). Metacognitive ability correlates with hippocampal and prefrontal microstructure. NeuroImage. DOI: http://dx.doi.org/10.1016/j.neuroimage.2017.02.008
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• Baker, D.J., Trahan, T., & Müllensiefen, D. (2016). Matching Music to Brand Personality: A Semantic Differential Tool for Measuring Emotional Space. Proceedings of the 14th International Confernece on Music Perception and Cognition (ICMPC14), 269-271.
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• Jakubowski, K., Finkel, S., Stewart, L. & Müllensiefen, D. (2016). Dissecting an Earworm: Melodic Features and Song Popularity Predict Involuntary Musical Imagery. Psychology of Aesthetics, Creativity, and the Arts, 11(2), 122-135. doi: http://dx.doi.org/10.1037/aca0000090.
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• Lima, C.F., Brancatissano, O., Fancourt, A., Müllensiefen, D., Scott, S.K., Warren, J.D., & Stewart, L. (2016). Impaired socio-emotional processing in a developmental music disorder. Scientific Reports, 6, 34911. doi: 10.1038/srep34911.
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• Müllensiefen, D. (2016). What to Expect From Music Psychology? Prize lecture given at the Humboldt foundation's Anneliese Maier symposium, 2016. Berlin, 7th September, 2016.
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• Müllensiefen, D. (2016). A psychological perspective on a musical genius. Programme notes for Amadeus, a production of the National Theatre, London.
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• Müllensiefen, D. (2016). Indiviudal differences and music information retrieval. Keynote lecture given at the sixth annual seminar on Cognitively based Music Informatics Research (CogMIR). New York University, 12th August, 2016.
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• Müllensiefen, D., Baker, D., Rhodes, C., Crawford, T., & Dreyfus, L. (2016). Recognition of Leitmotives in Richard Wagner's Music: An Item Response Theory Approach In: A.F.X. Wilhelm & H.A. Kestler (Eds.), Analysis of Large and Complex Data, (pp. 473-483). Heidelberg: Springer.
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• Fiedler, D. & Müllensiefen, D. (2016). Structure and development of musical self-concept and musical sophistication and interest in the school subject 'music'. An empirical long-term study of German students (9 to 17 years) at secondary schools. Musikpädagogische Forschung / Research in Music Education, 37, 209-230. [in German]
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• Lewis, D., Crawford, T., & Müllensiefen, D. (2016). Instrumental Idiom in the 16th Century: Embellishment Patterns in Arrangements of Vocal Music. In: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR 2016). 524-530.
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• Harrison, P., Collins, T., & Müllensiefen, D. (2016). Assessing melodic discrimination abilities with computerised adaptive testing and automatic item generation. . ICAR News, 8(2), 5-8.
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• Harrison, P., Musil, J., & Müllensiefen, D. (2016). Modelling melodic discrimination tests: Descriptive and explanatory approaches. Journal of New Music Research, 45(3), 265-280. doi: 10.1080/09298215.2016.1197953
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• Farrugia, N., Allan, H., Müllensiefen, D., & Avron, A. (2016). Does it sound like progressive rock? A perceptual approach to a complex genre. In P. Gonin (Ed.), Prog Rock in Europe: Overview of a persistent musical style. (pp 197-212), Dijon: Editions Universitaire.
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• de Fleurian, R., Blackwell, T., Ben-Tal, O., & Müllensiefen, D. (2016). Information-theoretic measures predict the human judgement of rhythm complexity. Cognitive Science, 41(3), 800-813. doi: 10.1111/cogs.12347. Supporting Information.
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• Jakubowski, K., Müllensiefen, D., & Stewart, L. (2016). A developmental study of latent absolute pitch memory. Quaterly Journal of Experimental Psychology, 70(3), 434-443. DOI:10.1080/17470218.2015.1131726.
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• Binet, L., Müllensiefen, D. and Morrison, G. (2015). Marketing to the senses: Music gets under your skin. Admap, April 2015, 37-39.
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• Fiedler, D. & Müllensiefen, D. (2015). Validation of the Gold-MSI questionnaire to measure musical sophistication of German students at secondary education schools. Musikpädagogische Forschung / Research in Music Education, 36, 199-219. [in German]
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• Floridou, G., & Müllensiefen, D. (2015). Environmental and mental conditions predicting the experience of involuntary musical imagery: An experience sampling method study. Consciousness and Cognition, 33, 472-486. DOI:10.1016/j.concog.2015.02.012.
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• Floridou, G., Williamson, V. J., Stewart, L., & Müllensiefen, D. (2015). The Involuntary Musical Imagery Scale (IMIS). Psychomusicology: Music, Mind, and Brain., 25(1), 28-36. DOI: http://dx.doi.org/10.1037/pmu0000067.
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• Frieler, K., Jakubowski, K., & Müllensiefen, D. (2015). Is it the song and not the singer? Hit song prediction using structural features of melodies. Yearbook of the German Society for Music Psychology, 24, 41-54.
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• Greenberg, D., Müllensiefen, D., Lamb, M., & Rentfrow, P.J. (2015). Personality predicts musical sophistication. Journal of Research in Personality, 58, 154-158. DOI: http://dx.doi.org/10.1016/j.jrp.2015.06.002
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• Müllensiefen, D. & Baker, D. (2015). Music, Brands, and Advertising: Testing what works. In K. Bronner, R. Hirt & C. Ringe (Eds.), Audio Branding Yearbook 2014/2015, (pp. 31-51). Baden-Baden, Germany: Nomos.
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• Müllensiefen, D., Egermann, H. & Burrows, S. (2015). Radio Station Jingles: How statistical learning applies to a special genre of audio logos. In K. Bronner, R. Hirt & C. Ringe (Eds.), Audio Branding Yearbook 2014/2015, (pp. 53-71). Baden-Baden, Germany: Nomos.
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• Müllensiefen, D., Harrison, P., Caprini, F., & Fancourt, A. (2015). Investigating the importance of self-theories of intelligence and musicality for students' academic and musical achievement. Frontiers in Psychology., 6:1702. doi: 10.3389/fpsyg.2015.01702
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• Müllensiefen, Floridou, G., & Jakubowski, K. (2015). Can correlations imply causation? Causal modeling and music psychology research. Paper presented at the Ninth Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM), Manchester, UK, 20th of August.
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• Van Balen, J., Burgoyne, J.A., Bountouridis, D., Müllensiefen, D. & Veltkamp, R. (2015). Corpus Analysis Tools for Computational Hook Discovery. In M. Müller & F. Wiering (Eds.) Proceedings of the 16th International Society for Music Information Retrieval (ISMIR) Conference 2014, Malaga, Spain. (pp. 227-233).
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• Weir, G., Williamson, V. J., & Müllensiefen, D. (2015). Increased Involuntary Musical Mental Activity Is Not Associated With More Accurate Voluntary Musical Imagery. Psychomusicology: Music, Mind, and Brain., 25(1), 48-57. DOI: http://dx.doi.org/10.1037/pmu0000076

• Müllensiefen, D. (2014). Do musicians really have finer ears? How musical training affects listening and hearing abilities. Presentation given at the 30th annual meeting of the German Society for Music Psychology 2014, Erlangen, 12th of September.
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• Müllensiefen, D.(2014). The secret formula of the perfect melody: Can musical features predict cognitive responses? Invited talk at the Department of Psychology, University of Uppsala, Sweden, 9th of May.
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• Müllensiefen, D., & Halpern, A. (2014). The role of features and context in recognition of novel melodies. Music Perception , 31(5), 418-435. DOI:10.1525/MP.2014.31.5.418.
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• Müllensiefen, D., Avron, A., & Skiada, N. (2014). The structure of cognitive and musical abilities. Presentation given at the International Conference on Music Perception and Cognition (ICMPC) 2014, Seoul, Korea, 5th of August.
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• Müllensiefen, D., Fry, J., Jones, R., Jilka, S., Stewart, L. & Williamson, V. (2014). Individual differences predict patterns in spontaneous involuntary musical imagery. Music Perception , 31(4), 323-338. DOI:10.1525/MP.2014.31.4.323.
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• Müllensiefen, D., Gingras, B., Musil, J., & Stewart, L. (2014). The Musicality of Non-Musicians: An Index for Assessing Musical Sophistication in the General Population. PloS One , 9(2): e89642. DOI:10.1371/journal.pone.0089642.
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• Müllensiefen, D., Jakubowski, K. & Frieler, K. (2014). Is it the song and not the singer? Hit song science using structural features of melodies. Invited talk at the computational Jazz research workshop, Weimar, Germany, 22nd of November.
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• Schaal, N., Bauer, A.-K., & Müllensiefen, D. (2014). Der Gold-MSI: Replikation und Validierung eines Fragebogeninstrumentes zur Messung Musikalischer Erfahrenheit anhand einer deutschen Stichprobe. [The Gold-MSI: Replication and validation of a survey instrument for measuring musical sophistication with a German sample.] Musicae Scientiae, 18(4), 423-447. DOI:10.1177/1029864914541851.
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• Williamson, V., South, M., & Müllensiefen, D. (2014). Sound quality enhances the music listening experience. In Moo Kyoung Song (Ed.) Proceedings of International Conference on Music Perception and Cognition (ICMPC) 2014, Seoul, Korea. (pp. 271-276).

• Binet, L., Müllensiefen, D. and Edwards, P. (2013). The Power of Music. Admap, October 2013, 10-13.
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• Floridou, G. & Müllensiefen, D.(2013). Involuntary Musical Imagery While the Mind Wanders: An Experience Sampling Study using Bayesian Networks. Presentation given at the biennial meeting of the Society for Music Perception and Cognition 2013, 9th of August, Ryerson University, Toronto.
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• Frieler, K., Fischinger, T., Schlemmer, Lothwesen, K., K., Jakubowski, K., & Müllensiefen, D. (2013). Absolute memory for pitch: A comparative replication of Levitin's 1994 study in six European labs. Musicae Scientiae, 17(3), 334-34.
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• Frieler, K., Müllensiefen, D., Fischinger, T., Schlemmer, K., Jakubowski, K., & Lothwesen, K. (2013). Replication in Music Psychology. Musicae Scientiae, 17(3), 265-276.
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• Jakubowski, K. & Müllensiefen, D. (2013). The influence of music-elicited emotions and relative pitch on absolute pitch memory for familiar melodies. The Quarterly Journal of Experimental Psychology, 66(7), 1259-1267.
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• Müllensiefen, D. (2013). Review of Noyce, Küssner and Sollich: Quantifying Shapes. Empirical Musicology Review 8(2), 155-157.
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• Müllensiefen, D.(2013). The Musicality of Non-Musicians: Measuring Musical Expertise in Britain. Invited talk at the research colloquium of the music faculty, University of Cambridge, 23rd of October.
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• Müllensiefen, D., Davies, C., Dossman, L., Hansen, J.L., and Pickering, A. (2013). Implicit and Explicit Effects of Music on Brand Perception in TV Ads. In K. Bronner, R. Hirt & C. Ringe (Eds.), Audio Branding Academy Yearbook 2012/2013 (pp. 139-153). Baden-Baden, Germany: Nomos.
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• Müllensiefen, D. and Skiada, N. (2013). Comment on Hennig and Liao's discussion paper on mixed-type clustering for social stratification. Journal of the Royal Statistical Society, Series C, 62(3), 354-355.
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• Musil, J., El-Nusairi, B., and Müllensiefen, D. (2013). Perceptual dimensions of short audio clips and corresponding timbre features. In From Sounds to Music and Emotions. Lecture Notes in Computer Science, 7900, (pp. 214-227). Berlin: Springer.
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• Schaal, N., Bauer, K. & Müllensiefen, D.(2013). Sind wir nicht alle ein bisschen musikalisch? Untersuchung musikalischer Erfahrenheit in Deutschland Presentation given at the 29th annual meeting of the German Society for Music Psychology 2013, 8th of September, Frankfurt.

• Cason, R.J.S., & Müllensiefen, D., (2012). Singing from the same sheet: computational melodic similarity measurement and copyright law. International Review of Law, Computers & Technology, 26(1),25-36.
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• Ewert, S., Müller, M., Konz, V., Müllensiefen, D. & Wiggins, G. (2012). Towards Cross-Domain Harmonic Analysis of Music Data. IEEE Transactions on Multimedia, 14(3), 770-782.
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• Floridou, G., Williamson, V. & Müllensiefen, D. (2012). Contracting Earworms: The Roles of Personality and Musicality. Poster presented at the 12th International Conference on Music Perception and Cognition (ICMPC), 27th of July, Thessaloniki.
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• Müllensiefen, D. (2012). Measuring the Facets of Musicality: The Goldsmiths Musical Sophistication Index. Presentation given at the 40th Anniversary Conference of the Society for Education, Music and Psychology Research (SEMPRE), 15th of September, London.
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• Müllensiefen, D., & Cason, R. (2012). Singing from the same sheet: A new approach to measuring tune similarity and its legal implications. Invited speaker seminar, 5th of December, School of Law, University of Greenwich.
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• Müllensiefen, D., Davies, C., Dossman, L., Hansen, J.L., Pickering, A. (2012). Implicit and Explicit Effects of Music on Brand Perception in TV ads. Presentation given at the Audio Branding Congress 2012, 11th of December, University of Oxford.
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• Müllensiefen, D., Gingras, B., Musil, J. & Stewart, L. (2012). A new tool for measuring musical sophistication: The Goldsmiths Musical Sophistication Index. Presentation given at the 12th International Conference on Music Perception and Cognition (ICMPC), 25th of July, Thessaloniki.
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• Musil, J., El-Nusairi, B., and Müllensiefen, D. (2012). Perceptual dimensions of short audio clips and corresponding timbre features. In Proceedings of the 9th International Symposium on Computer Music Modelling and Retrieval (CMMR 2012), (pp. 311-318). Queen Mary University of London. Full paper.
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• Omigie, D., Müllensiefen, D., & Stewart, L. (2012). The experience of music in congenital amusia. Music Perception, 30(1), 1-18.
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• Pawley, A. & Müllensiefen, D. (2012). An empirical field study on sing-along behaviour in the North of England. Presentation given at the 12th International Conference on Music Perception and Cognition (ICMPC), 27th of July, Thessaloniki.
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• Pawley, A., & Müllensiefen, D. (2012). The Science of Singing Along: A Quantitative Field Study on Sing-along Behavior in the North of England. Music Perception, 30(2), 129-146.
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• Williamson, V. & Müllensiefen, D. (2012). Earworms from three angles. Presentation given at the 12th International Conference on Music Perception and Cognition (ICMPC), 26th of July, Thessaloniki. Full paper.
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• Williamson, V., Jilka, S., Fry, J., Finkel, S., Müllensiefen, D., Stewart, L. (2012). How do 'earworms' start? Classifying the everyday circumstances of Involuntary Musical Imagery. Psychology of Music, 40(3), 259-284..
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• Wolf, A. and Müllensiefen, D. (2012). The Perception of Similarity in Court Cases of Melodic Plagiarism and a Review of Measures of Melodic Similarity. In J. Wewers and U. Seifert (Eds.), Under construction: trans- and interdisciplinary routes in music research: Proceedings of SysMus 11, Cologne 2011 (pp. 215-230). Osnabrück, EpOs.

• Müllensiefen, D. (2011). A Psychological Perspective on Similarity and Distance Measures. Invited talk given at the Symposium of The German Classification Society (GfKl), 1st of September 2011, University of Frankfurt.
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• Müllensiefen, D, & Wiggins, G. (2011). Polynomial functions as a representation of melodic phrase contour. In A. Schneider & A. von Ruschkowski (Eds.), Systematic Musicology: Empirical and Theoretcial Studies (pp. 63-88). Frankfurt a.M.: Peter Lang.
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• Müllensiefen, D. & Wiggins, G. (2011). Sloboda & Parker's recall paradigm for melodic memory: a new computational perspective. In I. Deliege & J. Davidson (Eds.), Music and the Mind: Essays in Honour of John Sloboda (pp. 161-188). Oxford: University Press.
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• Müllensiefen, D. and Halpern, A.R. (2011). What's behind hits and false alarms in musical memory? Poster presented at the 4th Conference on the Neurosciences and Music, Edinburgh, 9.-12. of June 2011.
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• Pawley, A., & Müllensiefen, D. (2011). An empirical field study on sing-along behaviour in the North of England. Presentation given at the 7th International Conference on Music Since 1900, 30th of July 2011, University of Lancaster.
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• Stewart, L., Müllensiefen, D., & Musil, J. (2011). A new approach for understanding musicality. Presentation given at the Newcastle Science Fest, 13th of March 2011.

• Finkel, S. and Müllensiefen, D. (2010). Involuntary Musical Imagery - Investigating Musical Features that Predict ‘Earworms’. Talk given at the Third International Conference of Students of Systematic Musicology (SysMus10), University of Cambridge, 14th of September, 2010.
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• Hennig, C., Müllensiefen, D., and Bargmann, J. (2010). With-in subject comparison of changes in a pretest-posttest design. Applied Psychological Measurement, 34(5), 291-309.
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• Müllensiefen, D. (2010). Can you predict how courts decide in plagiarism cases? . Talk given at the public event Striking Your Own Chord: Journeys into Musical Plagiarism, at the The Science Museum's Dana Centre.
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• Müllensiefen, D. (2010). Similarity Algorithms for Music Plagiarism . Invited talk given at the 4th International Plagiarism Conference, University of Newcastle, 22nd of June, 2010.
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• Müllensiefen, D., Stewart, L., and Cooper, A. (2010). Predicting item difficulty in a melodic discrimination task using item response theory and computational structure analysis . Talk given at the Manchester meeting of the Experimental Psychology Society (EPS), University of Manchester, 7th of July, 2010.
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• Pearce, M. T., Müllensiefen, D., & Wiggins, G. A. (2010). Melodic Grouping in Music Information Retrieval: New Methods and Applications. In: R. Zbigniew & A. Wieczorkowska (Eds.). Advances in Music Information Retrieval. Studies in Computational Intelligence, Vol. 274 (pp. 365-390). Berlin: Springer.
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• Pearce, M. T., Müllensiefen, D., & Wiggins, G. A. (2010). The role of expectation and probabilistic reasoning in auditory boundary perception: A model comparison. Perception 39(10), 1367-1391.
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• Stewart, L. and Müllensiefen, D. (2010). MSc in Music, Mind and Brain at Goldsmiths, University of London. In Psychomusicology, 20(1-2), 177-179.
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• Stewart, L. and Müllensiefen, D. (2010). Music and the Mind . Talk given at the London Science Museum Lates event on the Science of Music.
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• Wiggins, G. A., Müllensiefen, D., & Pearce, M. T. (2010). On the non-existence of music: Why music theory is a figment of the imagination. Musicae Scientiae, Discussion Forum 5, 231-255.

• Ewert. S, Müller, M., Müllensiefen, D., Clausen, M., and Wiggins, G. (2009). Case Study "Beatles Songs" - What can be Learned from Unreliable Music Alignments? In Proceedings of the Dagtsuhl Seminar representation of Musical Knowledge.
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• Müllensiefen, D (2009). Statistical techniques in music psychology: An update. In: R. Bader, C. Neuhaus, C. Morgenstern (eds.), Concepts, Experiments, and Fieldwork: Studies in Systematic Musicology (pp. 193-215). Frankfurt a.M.: Peter Lang.
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• Müllensiefen, D. (2009). Statistical techniques in music psychology: An update. Workshop given at the IPEM Think-tank, University of Ghent, Belgium.
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• Müllensiefen, D. (2009). Using R for data analysis. Skills Session given as part of Goldsmiths' staff training, August 2009, Goldsmiths, University of London.
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• Müllensiefen, D., and Pendzich, M. (2009). Court decisions on music plagiarism and the predictive value of similarity algorithms. Musicae Scientiae, Discussion Forum 4B, 257-295.
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• Müllensiefen, and Wiggins, G. (2009). FANTASTIC: A Feature Analysis Toolbox for corpus-based cognitive research on the perception of popular music. Paper given at the ISMS seminars, Goldsmiths, University of London, and paper at the 21st Annual Meeting of the German Society for Music Psychology (DGM), University of Kassel, Germany.
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• Müllensiefen, D., and Wiggins, G. A. (2009). Sloboda`s & Parker`s recall paradigm for melodic memory: A new computational persepctive. Talk at the Symposium Music and Cognition: Around the Contribution of John Sloboda, IRCAM, 2009.
• Müllensiefen, D., Bonometti, M., Stewart, L., and Wiggins, G. (2009). Testing Different Models of Melodic Contour. 7th Triennial Conference of the European Society of the Cognitive Sciences of Music (ESCOM 2009), University of Jyäskylä, Finalnd.
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• Müllensiefen, D., Pfleiderer, M., and Frieler, K. (2009). The perception of accents in pop music melodies. Journal of New Music Research, 38(1), 19-44.
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• Pendzich, M. and Müllensiefen, D. (2009). Court Decisions on Music Plagiarism and the Predictive Value of Similarity Algorithms. 7th Triennial Conference of the European Society of the Cognitive Sciences of Music (ESCOM 2009), University of Jyäskylä, Finalnd.
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• Rhodes, C., Lewis, D., and Müllensiefen, D. (2009). Bayesian Model Selection for Harmonic Labelling. In T. Klouche and Th. Noll (Eds.), Mathematics and Computation in Music: First International Conference, MCM 2007, Berlin, Germany, May 18-20, 2007. Revised Selected Papers (Communications in Computer and Information Science). Berlin: Springer, 107-116.
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• Wiggins, G. A., Pearce M. T., and Müllensiefen, D. (2009). Computational Modelling of Music Cognition and Musical Creativity. In R. Dean (Ed.), The Oxford Handbook of Computer Music (pp. 383-420). Oxford: University Press.

• Halpern, A., and Müllensiefen, D. (2008). Effects of timbre and tempo change on memory for music. Quaterly Journal of Experimental Psychology 61(9), 1371-1384.
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• Halpern, A.R., Müllensiefen, D, and Wiggins, G. (2008). Modelling Memory Responses in a Memory Recognition Task. Paper given at 10th International Conference for Music Perception and Cognition, Hokaido University, Sapporo, 25-30th of August 2008.
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• Mauch, M., Müllensiefen, D, Dixon, S. and Wiggins, G. (2008). What's a Word in Harmony? Paper given at 10th International Conference for Music Perception and Cognition, Hokaido University, Sapporo, 25-30th of August 2008. Full paper
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• Müllensiefen D. (2008). Dealing with ambiguity in empirical models of music cognition. Talk at the Music and Brain Club, Wellcome Centre, University College, London.
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• Müllensiefen, D, and Wiggins, G. (2008). Representing Melodic Contour by Polynomials. Paper given at 10th International Conference for Music Perception and Cognition, Hokaido University, Sapporo, 25-30th of August 2008.
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• Müllensiefen, D, Wiggins, G., and Lewis, D.(2008). High-level feature descriptors and corpus-based musicology: Techniques for modelling music cognition. In A. Schneider (Ed.), Hamburger Jahrbuch für Musikwissenschaft, 24 (pp. 133-155). Frankfurt: Peter Lang.
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• Pearce, M. T. and Müllensiefen, (2008). David Huron, Sweet Anticipation: Music and the Psychology of Expectation. Cambridge, MA: MIT Press, 2006, 512 pp., ISBN 0262083450, (Hardcover). In Musicae Scientiae, 12(1), 158-168.
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• Pearce, M. T., Müllensiefen, D., & Wiggins, G. A. (2008). A comparison of statistical and rule-based models of melodic segmentation. In Proceedings of the Ninth International Conference on Music Information Retrieval, (pp. 89-94). Philadelphia, USA: Drexel University. Full paper
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• Pearce, M. T., Wiggins, G. A. and Müllensiefen D. (2008). Statistical Models of Music Cognition. Invited talk at the symposium Around Fred Lerdahl & Ray Jackendoff's Generative Theory of Tonal Music. IRCAM, Paris. January 2008.
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• Pearce, M., Müllensiefen, D, and Wiggins, G. (2008). Perceptual Segmentation of Melodies: Ambiguity, Rules, and Statistical Learning. Paper given at 10th International Conference for Music Perception and Cognition, Hokaido University, Sapporo, 25-30th of August 2008.
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• Weihs, C., Ligges, U., Mörchen, and Müllensiefen, D. (2008). Classification in Music Research. Advances in Data Analysis and Classification 1(3), 255-291.

• Allan, H., Müllensiefen, D., & Wiggins, G. A. (2007). Methodical Considerations in Studies of Musical Similarities. In Proceedings of the Eighth International Conference on Music Information Retrieval, (pp. 473-478), Vienna.
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• Lothwesen, K. & Müllensiefen, D. (2007). What makes the difference? Popmusic stars and TV talent show contestants in young people's judgements. In: K. Kallioniemi, J. Mäkelä, & H. Salmi (Eds.). History of Stardom reconsidered: The refereed proceedings of the inaugural conference of IIPC, University of Turku, 9-11.11.2006, eBook, pp. 158-165.
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• Müllensiefen D., Lewis, D., and Wiggins, G. A. (2007). Feature description and corpus-based musicology: Tools for modelling music cognition. Paper at the Conference of International Musicological Society (IMS), University of Zürich.
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• Müllensiefen D., Lewis, D., and Wiggins, G. A. (2007). Where`s the chorus? A computational approach for the automatic segemntation of pop songs. Paper at the Conference of International Association for the Study of Popular Music (IASPM), Mexico City.
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• Müllensiefen D., Pearce, M. T., Wiggins, G. A. and Frieler, K. (2007). Segmenting pop melodies: A model comparison approach. Presented at the Conference for the Society for Music Perception and Cognition. Concordia University, Montreal, Canada. August 2007.
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• Müllensiefen, D., and Frieler, K. (2007). Modelling expert's notions of melodic similarity. Musicae Scientiae, Discussion Forum 4A, 183-210.
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• Müllensiefen, D., Lewis, D., Rhodes, C. and Wiggins, G. A. (2007). Evaluating a Chord Labeling Algorithm. In Proceedings of the Eighth International Conference on Music Information Retrieval, (pp. 317-318), Vienna.
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• Pearce, M. T., Müllensiefen, D., Lewis, D. and Rhodes, C. S. (2007). David Temperley, Music and Probability. Cambridge, Massachusetts: MIT Press, 2007, ISBN-13: 978-0-262-20166-7 (hardcover) $40.00. In Empirical Musicology Review, 2(4), 155-163.

• Müllensiefen, D. and Frieler, K. (2006). Evaluating different approaches to measuring the similarity of melodies. In: Batagelj, V., Bock, H.-H., Ferligoj, A., Ziberna, A. (Eds.). Data Science and Classification. Berlin: Springer, pp. 299-306.
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• Müllensiefen, Daniel and Hennig, C. (2006). Modeling memory for melodies. In: Myra Siliopoulou, Rudolf Kruse, Christian Borgelt, Andreas Nürnberger, Wolfgang Gaul (Eds.). From Data and Information Analysis to Knowledge Engineering. Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., 2005. Berlin: Springer, pp. 732-739.

• Müllensiefen, D. (2004). Variabilität and Konstanz von Melodien in der Erinnerung: ein Beitrag zur musikpsychologischen Gedächtnisforschung . Doctoral Dissertation, Institute of Musicology, University of Hamburg, Hamburg, Germany.
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• Müllensiefen, D., and Frieler, K. (2004). Cognitive Adequacy in the Measurement of Melodic Similarity: Algorithmic vs. Human Judgments. Computing in Musicology, 13, 147-176.

• Müllensiefen, D. (1999). Gedächtnisleistungen bei Hintergrundmusik. Masters Dissertation, Institute of Musicology, University of Hamburg, Hamburg, Germany.

My work on similarity algorithms and musical plagiarism, the work on sonic branding (music & advertising), the study with Alisun Pawley on 'singalongability' as well as the project on musicality with the BBC (the 'How Musical Are You?' test) and our work on earworms has received some coverage in the popular media.

• 12-min youtube presentation for the Advertising Research Foundation on our implicit test for measuring emotional-semantic content of music for sonic branding. Watch here.
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• 7-min radio interview with German radio station NDR Kultur on the impact of the mother longue on musical perception abilities. Read or listen here.
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• Interview with Brandingmag on Sound: The Science of the Forgotten Sense. Read here.
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• 6 min radio feature for the German state radio station NDR explaining our study on the effects of song titles on aesthetic judgements. Listen to it here.
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• An article in the Times covering our longitudinal study on the development of musical abilities across the teen years. Read it here.
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• 7min radio feature on Deutsche Welle (in English) summarising our earworms research. Listen to it here.
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• 5min video on the Hearing Wagner experiment that we conducted as part of Transforming Musicology project together with Goldsmiths Computing department and musicologists from the University of Oxford. Watch it here.
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• 25min youtube lecture on music, brands and advertising given as part of the Reeperbahn Festival, September 2015. Watch it here.
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• 7 min radio feature for the German state radio station SWR on earworms. Listen to it here.
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• 4 min podcast on audio branding and new technologies in advertising research for the Audio Branding Congress 2015 in Berlin. Listen to it here.
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• 2 min radio feature on American public radio on the aims and results of the Gold-MSI project. Listen to it here.
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• 18 min radio feature on the Why Factor show on the BBC World Service on earworms, also including sound bites from other eminent earworm researchers. Listen to it here.
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• 5 min TV feature on the BBC's One Show on musical plagiarism featuring our computational tools for melodic similarity measurement. Watch it here.
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• 15 min radio feature on BBC 6Music where we test the musical abilities of show host Steve Lamacq. Listen to it here.
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• 4 min TV feature on our earworm research broadcast by Swedish Television. Watch it here.
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• 6 min radio feature on our earworm research broadcast by Deutschland Radio Wissen. Find it here.
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• 5 min podcast on audio branding and music in advertising for the Audio Branding Congress 2012 at Oxford University. Listen to it here.
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• The singalongability of pop songs as covered by articles on Wired and NBC News. The latter one includes links to Youtube videos for the top 10 of singalongable songs.
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• 5 min radio interview with the British station UCB on earworms. Listen to it here.
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• Interview with LabNews UK on the singalongability of pop tunes.
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• 3 min TV news feature covering the singalongability reserach on ITV London. Watch it here.
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• 3 min interview with Hamburg radio station Alster Radio on learning and background music. Listen to it here.
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• Extended coverage of the 'How Musical Are You?' test in the Guardian.
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• A piece on the musicality project in the Telegraph.
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• An hour-long discussion with two other 'eminent thinkers' on The Forum broadcast by the BBC World Service. Listen to it here.
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• 5 min interview with Bremen's public pop station Bremen 4 (in German). Download mp3 here.
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• A 10 min talk as part of the public engagement event Striking Your Own Chord at the London Science Museum's Dana Centre. Download mp4 here.
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• 30 min interview with New York's public radio station WNYC. Listen to it here.
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• 3 min TV feature on the London news site Eastlondonlines. Watch here.