Department of Psychology

Dr Daniel Müllensiefen

Position held:
Senior Lecturer and co-director of the MSc Music, Mind, and Brain

Phone:
+44 (0)20 7919 7895

Fax:
+44 (0)20 7919 7873

Email:
d.mullensiefen (@gold.ac.uk)

Website:
http://www.doc.gold.ac.uk/~mas03dm/

Address:
Room 310 Whitehead Building
Department of Psychology
Goldsmiths, University of London
New Cross, London

Office hours:
Tutorial Hours / FACT (during term time):
Mondays, 12 - 1pm

Summary of research

  • Individual differences in musical abilities
  • memory for music and melodies
  • 'earworms’
  • perception of musical similarity
  • statistical models of cognition
  • music in advertising
  • corpus-based musicology
  • cognitive issues related to music copyright.

Academic qualifications

MA PhD

Areas of supervision

I supervise projects in the area of musicality and individual differences, musical similarity perception, music in advertising, and statistical modelling of music perception.

Research interests

My research interests include almost all aspects of music psychology, in particular memory for music and melodies as well as the perception of musical similarity. From 2006 to 2009 I worked on the EPSRC-funded research project M4S which addressed exactly these questions. Find the documentation of the project here. Other research interests of mine are statistical and computational models of cognition, similarity perception in general, the social psychology of music, corpus-based musicology, cognitive issues related to music copyright, and Spanish music. See my personal website for more details, publications, and software.

Selected publications

Number of items: 23.

Article

Ewert, Sebastian, Müller, Meinard, Konz, Verena, Mullensiefen, Daniel and Wiggins, Geraint A.. 2012. Towards Cross-Version Harmonic Analysis of Music. IEEE Transactions on Multimedia, 14(3), pp. 770-782. ISSN 1520-9210 [Article]

Cason, Robert and Mullensiefen, Daniel. 2012. Singing from the same sheet: computational melodic similarity measurement and copyright law. International Review of Law, Computers & Technology, 26(1), pp. 25-36. [Article]

Omigie, Diana, Mullensiefen, Daniel and Stewart, Lauren. 2012. The Experience of Music in Congenital Amusia. Music Perception, 30(1), pp. 1-18. ISSN 0730-7829 [Article]

Pawley, Alisun and Mullensiefen, Daniel. 2012. The Science of Singing Along: A Quantitative Field Study on Sing-along Behaviour in the North of England. Music Perception, 30(2), pp. 129-146. ISSN 0730-7829 [Article]

Hennig, Christian, Mullensiefen, Daniel and Bargmann, Jens. 2010. Within-Subject Comparison of Changes in a Pretest-Posttest Design. Applied Psychological Measurement, 34(5), pp. 291-309. ISSN 0146-6216 [Article]

Mullensiefen, Daniel and Pendzich, Marc. 2009. Court decisions on music plagiarism and the predictive value of similarity algorithms. Musicae Scientiae, Discussion Forum, 4B, pp. 257-295. [Article]

Mullensiefen, Daniel, Pfleiderer, Martin and Frieler, Klaus. 2009. The Perception of Accents in Pop Music Melodies. Journal of New Music Research, 38(1), pp. 19-44. ISSN 0929-8215 [Article]

Halpern, Andrea and Mullensiefen, Daniel. 2008. Effects of timbre and tempo change on memory for music. The Quarterly Journal of Experimental Psychology, 61(9), pp. 1371-1384. ISSN 1747-0218 [Article]

Weihs, Claus, Ligges, Uwe, Mörchen, Fabian and Mullensiefen, Daniel. 2007. Classification in music research. Advances in Data Analysis and Classification, 1(3), pp. 255-291. ISSN 1862-5347 [Article]

Mullensiefen, Daniel and Frieler, Klaus. 2007. Modelling experts notions of melodic similarity. Musicae Scientiae, Discussion Forum, 4A, pp. 183-210. [Article]

Mullensiefen, Daniel and Frieler, Klaus. 2004. Cognitive Adequacy in the Measurement of Melodic Similarity: Algorithmic vs. Human Judgments. Computing in Musicology, 13, pp. 147-176. [Article]

Book Section

Wiggins, Geraint and Mullensiefen, Daniel. 2011. Sloboda & Parker's recall paradigm for melodic memory: a new computational perspective. In: Irene Deliege and Jane Davidson, eds. Music and the Mind: Essays in honour of John Sloboda. Oxford: Oxford University Press, pp. 161-188. ISBN 978-0-19-958156-6 [Book Section]

Pearce, Marcus T., Mullensiefen, Daniel and Wiggins, Geraint. 2010. Melodic Grouping in Music Information Retrieval: New Methods and Applications. In: Zbigniew W. Ras and Alicja Wieczorkowska, eds. Advances in Music Information Retrieval Advances in Music Information Retrieval. 274 Berlin and New York: Springer, pp. 365-390. ISBN 978-3-642-11673-5 [Book Section]

Mullensiefen, Daniel. 2010. Statistical techniques in music psychology: An update. In: Rolf Bader, Christiane Neuhaus and Ulrich Morgenstern, eds. Concepts, Experiments, and Fieldwork: Studies in Systematic Musicology and Ethnomusicology. Frankfurt am Main: Peter Lang, pp. 193-215. ISBN 978-3-631-58902-1 [Book Section]

Rhodes, Christophe, Lewis, David and Mullensiefen, Daniel. 2009. Bayesian Model Selection for Harmonic Labelling. In: Timour Klouche and Thomas Noll, eds. Mathematics and Computation in Music. 37 Berlin and Heidelberg: Springer-Verlag, pp. 107-116. ISBN 9783642045783 [Book Section]

Wiggins, Geraint, Pearce, Marcus T. and Mullensiefen, Daniel. 2009. Computational Modelling of Music Cognition and Musical Creativity. In: Roger T. Dean, ed. The Oxford Handbook of Computer Music. Oxford: Oxford University Press, pp. 383-420. ISBN 978-0-19-533161-5 [Book Section]

Mullensiefen, Daniel, Wiggins, Geraint and Lewis, Martin. 2008. High-level feature descriptors and corpus-based musicology: Techniques for modelling music cognition. In: Albrecht Schneider, ed. Systematic and Comparative Musicology: Concepts, Methods, Findings. 24 Frankfurt am Main: Peter Lang, pp. 133-155. ISBN 978-3-631-57953-4 [Book Section]

Conference or Workshop Item

Mullensiefen, Daniel, Baker, David, Rhodes, Christophe, Crawford, Tim and Dreyfus, Laurence. 2014. 'Recognition of leitmotives in Richard Wagner's music: chroma distance and listener expertise'. In: European Conference on Data Analysis. Bremen, Germany 2 - 4 July 2014. [Conference or Workshop Item] (Submitted)

Mullensiefen, Daniel, Lewis, David, Rhodes, Christophe and Wiggins, Geraint. 2007. 'Treating Inherent Ambiguity in Ground Truth Data: Evaluating a Chord Labelling Algorithm'. In: 8th International Conference on Music Information Retrieval (ISMIR). Vienna, Austria 23 - 27 September 2007. [Conference or Workshop Item]

This list was generated on Fri Apr 18 06:59:03 2014 BST.


Content last modified: 20 Dec 2013

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