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Publications by David Meredith

(in reverse chronological order within each subsection)


Edited books
Edited proceedings
Journal articles
Book chapters
Conference papers
Dissertation
Patents
Preprints
Seminars, presentations and invited talks
Letters, reviews, reports, editorials
Press clippings
Other writings


Edited books

Meredith, D. (ed.) (2016). Computational Music Analysis. Springer. [On Springer website] [On SpringerLink] [On amazon.com] [On amazon.co.uk]

Edited proceedings

Collins, T., Meredith, D. and Volk, A. (eds.) (2015). Mathematics and Computation in Music: 5th International Conference, MCM 2015, London, UK, June 22-25, 2015, Proceedings. Lecture Notes in Artificial Intelligence, Vol. 9110. Springer. [On Springer website] [On amazon.com] [On amazon.co.uk] [On SpringerLink]

Journal articles

Agres, K. R., Schaefer, R. S., Volk, A., van Hooren, S., Holzapfel, A., Dalla Bella, S., Müller, M., de Witte, M., Herremans, D., Ramirez Melendez, R., Neerincx, M., Ruiz, S., Meredith, D., Dimitriadis, T., and Magee, W. L. (2021). Music, computing and health: A roadmap for the current and future roles of music technology for health care and well-being. Music and Science, 4. pp. 1-32. [Online publication]

Velarde, G., Cancino Chacon, C., Meredith, D., Weyde, T. and Grachten, M. (2018). Convolution-based classification of audio and symbolic representations of music. Journal of New Music Research, 47(3). pp 191-205. [Online publication]

Bemman, B. and Meredith, D. (2018). Generating new musical works in the style of Milton Babbitt. Computer Music Journal, 42(1). pp. 60-79. [Online publication]

Bemman, B. and Meredith, D. (2018). Predicting Babbitt's orderings of time-point classes from array aggregate partitions in None but the Lonely Flute and Around the Horn. Journal of Mathematics and Music, 12(1):1-19. [Online publication]

Bemman, B. and Meredith, D. (2016). Generating Milton Babbitt's all-partition arrays. Journal of New Music Research, 45(2). pp. 184-204. [Online publication]

Louboutin, C. and Meredith, D. (2016). Using general-purpose compression algorithms for music analysis. Journal of New Music Research, 45(1), pp. 1-16. [Online publication]

Meredith, D. (2015). Music analysis and point-set compression. Journal of New Music Research, 44(3), pp. 245-270. [Online publication]

Velarde, G., Weyde, T. and Meredith, D. (2013). An approach to melodic segmentation and classification based on filtering with the Haar-wavelet. Journal of New Music Research, 42(4), pp. 325-345. [Online publication]

Meredith, D. (2007). Optimizing Chew and Chen's pitch spelling algorithm. Computer Music Journal, 31(2), pp. 54-72. [Online publication]

Meredith, D. (2006). The ps13 pitch spelling algorithm. Journal of New Music Research, 35(2), pp. 121-159. [Online publication]

Meredith, D., Lemström, K. and Wiggins, G. A. (2002). Algorithms for discovering repeated patterns in multidimensional representations of polyphonic music. Journal of New Music Research, 31(4), pp. 321-345. [Online publication] [Draft]

Pearce, M. T., Meredith, D. and Wiggins, G. A. (2002). Motivations and methodologies for automation of the compositional process. Musicae Scientiae, 6(2), pp. 119-147. [Online publication] [Draft]

Meredith, D. (1993). Computer-aided comparison of syntax systems in three piano pieces by Debussy. Contemporary Music Review, 9(1-2), pp. 285-304. [Online publication]

Book chapters

Meredith, D. (2019). Music analysis and data compression. In: Grimshaw-Aagaard, M., Walther-Hansen, M. and Knakkergaard, M. (eds.) The Oxford Handbook of Sound and Imagination, Volume 2, Chapter 8, pp. 153-178. Oxford University Press. [Online publication] [Author-created draft]

Meredith, D. (2016). Analysing music with point-set compression algorithms. In Meredith, D. (ed.) Computational Music Analysis, pp. 335-366. Springer. [On SpringerLink] [Author-created copy]

Velarde, G., Meredith, D. and Weyde, T. (2016). A wavelet-based approach to pattern discovery in melodies. In Meredith, D. (ed.) Computational Music Analysis, pp. 303-333. Springer. [On SpringerLink] [Author-created copy]

Meredith, D. (2009). Introduction. In Crawford, T. and Gibson, L., (eds.), Modern Methods for Musicology: Prospects, Proposals, and Realities, Digital Research in the Arts and Humanities Series. Ashgate, Aldershot. eBook ISBN: 978-0-7546-8175-5. Hardcover ISBN: 978-0-7546-7302-6. Book page on [Ashgate], [Amazon] and [Google books]

Clifford, R., Crawford, T., Iliopoulos C. and Meredith, D. (2005). Problems in computational musicology. In String Algorithmics, NATO Science Series. KCL Press, London.

Cross, I., Bennett, A. and Meredith, D. (1996). Music: Computer use in Musicological Research. In C. Mullings, M. Deegan, S. Ross and S. Kenna (eds.), New Technologies for the Humanities, pp. 299-318. Bowker-Saur, London. [Online publication]

Conference papers

Meredith, D. (2024). A parallel algorithm for finding maximal transformed matches of polyphonic patterns in unvoiced polyphonic music. Second International Conference on Computational and Cognitive Musicology (CCCM2024), 17-18 October 2024, Utrecht, The Netherlands. [Abstract] [Online publication]

Meredith, D. (2024). A parallel, geometric algorithm for transformed pattern matching in polyphonic music. 15th International Workshop on Machine Learning and Music (MML 2024), ECML/PKDD 2024, 9 September 2024, Vilnius, Lithuania. [Submitted CRC] [Slides]

Meredith, D. (2023). Understanding and compressing music with maximal transformable patterns. 11th International Conference on Culture and Computing. 23-28 July 2023, Copenhagen, Denmark. LNCS Vol. 14035, pp. 309-325. Springer, Cham, Switzerland. [CRC] [Online publication] [Slides]

Bjare, M. R. and Meredith, D. (2020). Sequence generative adversarial networks for music generation with maximum entropy reinforcement learning. The 2020 Joint Conference on AI Music Creativity (CSMC + MuMe 2020). 21-24 October 2020, Stockholm, Sweden. [CRC]

Meredith, D. (2019). RECURSIA-RRT: Recursive translatable point-set pattern discovery with removal of redundant translators. 12th International Workshop on Machine Learning and Music (MML 2019). 16 September, 2019, Würzburg, Germany. In: P. Cellier and K. Driessens (eds.) Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019 Proceedings, Part II. Communications in Computer and Information Science, Vol 1168, pp. 485-493. Springer, Cham, Switzerland. [Online publication] [Local copy of final published version] [Preprint on arXiv] [Submitted author-prepared version] [Slides] [Code on GitHub] [Executable JAR file]

Schmuck, V. and Meredith, D. (2019). OPTISIA: An evolutionary approach to parameter optimisation in a family of point-set pattern-discovery algorithms. 12th International Workshop on Machine Learning and Music (MML 2019). 16 September, 2019, Würzburg, Germany. In: P. Cellier and K. Driessens (eds.) Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019 Proceedings, Part II. Communications in Computer and Information Science, Vol 1168, pp. 509-516. Springer, Cham, Switzerland. [Online publication] [Local copy of final published version]

Bemman, B. and Meredith, D. (2019). Backtracking search heuristics for solving the all-partition array problem. 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019). 4-8 November 2019, Delft, The Netherlands. [Online publication]

Schmuck, V. and Meredith, D. (2019). Training networks separately on static and dynamic obstacles improves collision avoidance during indoor robot navigation. 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019), Bruges, 24-26 April, 2019. [Proceedings] [Author-created copy] [Open access version on ESANN website]

Agres, K. R. and Meredith, D. (2018). Modelling novice and expert listeners' ability to detect changes in short melodies. 15th International Conference on Music Perception and Cognition/10th Triennial Conference of the European Society for the Cognitive Sciences of Music (ICMPC15/ESCOM10), 23-28 July 2018, Graz, Austria. [Abstract] [Proceedings] [Slides]

Meredith, D. (2016). Using SIATECCompress to discover repeated themes and sections in polyphonic music. MIREX 2016, New York, USA. Competition on Discovery of Repeated Themes and Sections. [Extended abstract]

Velarde, G. and Meredith, D. (2016). Wavelet-based approach to the discovery of themes and sections in monophonic melodies. MIREX 2016, New York, USA. Competition on Discovery of Repeated Themes and Sections. [Poster]

Tanaka, T., Bemman, B.M. and Meredith, D. (2016). Constraint programming approach to the problem of generating Milton Babbitt's all-partition arrays. In Rueher, M. (ed.) Principles and Practice of Constraint Programming: 22nd International Conference, CP 2016, Toulouse, France, September 5-9, 2016 Proceedings, Lecture Notes in Computer Science, Vol. 9892, pp. 802-810. Springer, Cham, Switzerland. [Online publication]

Tanaka, T., Bemman, B. M. and Meredith, D. (2016). Integer programming formulation of the problem of generating Milton Babbitt's all-partition arrays. In 17th International Society for Music Information Retrieval Conference (ISMIR 2016), 7-11 August 2016, New York, NY. [Paper] [Poster]

Velarde, G., Weyde, T., Cancino Chacon, C., Meredith, D. and Grachten, M. (2016). Composer recognition based on 2d-filtered piano-rolls. In 17th International Society for Music Information Retrieval Conference (ISMIR 2016), 7-11 August 2016, New York, NY. [Paper] [Poster]

Bemman, B. M. and Meredith, D. (2015). Exact cover problem in Milton Babbitt's all-partition array. In T. Collins, D. Meredith and A. Volk (eds.) Mathematics and Computation in Music: 5th International Conference, MCM 2015, London, UK, June 22-25, 2015 Proceedings, Lecture Notes in Artificial Intelligence, Vol. 9110, pp. 237-242. Springer, Berlin. [Paper] [Online publication]

Bemman, B. M. and Meredith, D. (2015). Comparison of heuristics for generating all-partition arrays in the style of Milton Babbitt. In 11th International Symposium on Computer Music Multidisciplinary Research, 16-19 June 2015, Plymouth, UK. [Paper]

Velarde, G. and Meredith, D. (2014). A wavelet-based approach to the discovery of themes and sections in monophonic melodies. Music Information Retrieval Evaluation Exchange (MIREX 2014), Competition on Discovery of Repeated Themes and Sections, 27-31 October 2014, Taipei, Taiwan. [Extended abstract]

Meredith, D. (2014). Music analysis and point-set compression. Eighth European Music Analysis Conference (EuroMAC2014), 17-20 September 2014, Leuven, Belgium. [Abstract] [Slides]

Velarde, G. and Meredith, D. (2014). Melodic pattern discovery by structural analysis via wavelets and clustering techniques. Eighth European Music Analysis Conference (EuroMAC2014), 17-20 September 2014, Leuven, Belgium. [Abstract] [Slides]

Kjellberg, C. M. and Meredith, D. (2014). CriticalEd: A tool for assisting with the creation of critical commentaries. 40th International Computer Music Conference/11th Sound and Music Computing Conference (ICMC/SMC2014), 14-20 September 2014, Athens, Greece. [Full paper]

Meredith, D. (2014). Using point-set compression to classify folk songs. Fourth International Workshop on Folk Music Analysis (FMA 2014), 12-13 June 2014, Istanbul, Turkey. [Full paper]

Meredith, D. (2014). Compression-based geometric pattern discovery in music. Fourth International Workshop on Cognitive Information Processing (CIP 2014), 26-28 May 2014, Copenhagen, Denmark. [Full paper] [Slides] [Paper on IEEE Xplore]

Bemman, B. M. and Meredith, D. (2014). From analysis to surface: Generating the surface of Milton Babbitt's Sheer Pluck from a parsimonious encoding of an analysis of its pitch-class structure. The Music Encoding Conference, 20-23 May 2014, University of Virginia, Charlottesville, VA., USA. pp. 147-152. [Slides] [Proceedings]

Kjellberg, C. M., Geertinger, A. T., Lundberg, S. and Meredith, D. (2014). CriticalEd: A tool for assisting with the creation of critical commentaries. The Music Encoding Conference, 20-23 May 2014, University of Virginia, Charlottesville, VA., USA. pp. 153-158. [Slides] [Proceedings]

Bemman, B. M. and Meredith, D. (2014). Anatomy of the six-part all-partition array as used by Milton Babbitt: Preliminary efforts towards a computational method of automatic generation. RMA Music and Mathematics Study Day, Saturday, 12 April, 2014, University of Leeds, UK. [Slides]

Meredith, D. (2013). COSIATEC and SIATECCompress: Pattern discovery by geometric compression. MIREX 2013, Curitiba, Brazil. Competition on Discovery of Repeated Themes and Sections. [Local copy of extended abstract] [Extended abstract on MIREX web site] [Poster] [Results of competition]

Collins, T. and Meredith, D. (2013). Maximal translational equivalence classes of musical patterns in point-set representations. In J. Yust, J. Wild and J. A. Burgoyne (eds.) Mathematics and Computation in Music: 4th International Conference, MCM 2013, Montreal, QC, Canada, June 12-14, 2013. Proceedings, Lecture Notes in Computer Science, Vol. 7937, pp. 88-99. Springer, Berlin. [Paper] [Online publication]

Velarde, G., Weyde, T. and Meredith, D. (2013). Wavelet-filtering of symbolic music representations for folk tune segmentation and classification. Third International Workshop on Folk Music Analysis (FMA 2013), (6-7 June 2013), Meertens Institute, Amsterdam, The Netherlands. [Full paper]

Meredith, D. (2013). Analysis by compression: Automatic generation of compact geometric encodings of musical objects. The Music Encoding Conference 2013 (22-24 May 2013), Mainz Academy for Literature and Sciences, Mainz, Germany. pp. 41-53. [Extended abstract] [Slides] [Full paper] [Proceedings]

Meredith, D. (2012). A compression-based model of musical learning. DMRN+7: Digital Music Research Network One-day Workshop 2012 (18 December 2012), Queen Mary University of London. [Abstract] [Slides]

Meredith, D. (2012). Music analysis and Kolmogorov complexity. In Proceedings of the 19th Colloquio di Informatica Musicale (XIX CIM) (21-24 November 2012), Trieste, Italy. [Full paper] [Slides]

Meredith, D. (2012). A geometric language for representing structure in polyphonic music. In Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR 2012) (8-12 October 2012), Porto, Portugal, pp. 133-138. [Full paper] [Online publication] [Poster]

Meredith, D. (2011). Tonal scales and minimal simple pitch class cycles. In C. Agon, E. Amiot, M. Andreatta, G. Assayag, J. Bresson and J. Mandereau (eds.) Mathematics and Computation in Music - MCM 2011, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), Vol. 6726, pp. 165-179. Springer, Berlin. [Paper] [Online publication]

Meredith, D. (2009). Simple Pitch Class Cycles and Western Tonal Scales. Dagstuhl Seminar on Knowledge Representation for Intelligent Music Processing (No. 09051) (25-30 January, 2009) Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany. [Slides]

Meredith, D. (2007). Point-set algorithms for pattern discovery and pattern matching in music. Bristol Algorithm Days (BAD'07), University of Bristol, 18-20 February 2007. [Slides]

Clifford, R., Christodoulakis, M., Crawford, T., Meredith, D. and Wiggins, G. A. (2006). A fast, randomised, maximum subset matching algorithm for document-level music retrieval. Proceedings of the 7th International Conference on Music Information Retrieval (ISMIR 2006), Victoria, Canada, 8-12 October 2006. [Online publication]

Meredith, D. (2006). Point-set algorithms for pattern discovery and pattern matching in music. Proceedings of the Dagstuhl Seminar on Content-Based Retrieval (No. 06171) (23-28 April, 2006). Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany. [Online publication]

Meredith, D. and Wiggins, G. A. (2005). Comparing pitch spelling algorithms. In Proceedings of the 6th International Conference on Music Information Retrieval (ISMIR 2005), London, 11-15 September 2005. [Online publication]

Meredith, D. (2005). Comparing pitch spelling algorithms on a large corpus of tonal music. In U. K. Wiil (ed.), Computer Music Modeling and Retrieval: Second International Symposium, CMMR 2004, Esbjerg, Denmark, May 26-29, 2004, Revised Papers, (Lecture Notes in Computer Science, Vol. 3310), pp. 173-192. Springer, Berlin. [Online publication] [Slides with notes (1.3MB)]

Meredith, D. (2003). Pitch spelling algorithms. In R. Kopiez, A. C. Lehmann, I. Wolther and C. Wolf (eds.), Proceedings of the Fifth Triennial ESCOM Conference, September 8-13, 2003, Hanover University of Music and Drama, Hanover, Germany, pp. 204-207. [Abstract] [Full paper]

Meredith, D., Lemström, K. and Wiggins, G. A. (2003). Algorithms for discovering repeated patterns in multidimensional representations of polyphonic music. Cambridge Music Processing Colloquium 2003, Department of Engineering, University of Cambridge. [Full paper]

Wiggins, G. A., Lemström, K. and Meredith, D. (2002). SIA(M)ESE: An algorithm for transposition invariant, polyphonic content-based music retrieval. In Proceedings of the 3rd International Symposium on Music Information Retrieval (ISMIR 2002), 13-17 September 2002, IRCAM, Centre Pompidou, Paris, France. pp. 283-284. [Full paper]

Lemström, K., Wiggins, G. A. and Meredith, D. (2001). A three-layer approach for music retrieval in large databases. In Proceedings of the Second Annual International Symposium on Music Information Retrieval 2001 (ISMIR 2001), Indiana University, Bloomington, Indiana. [Full paper] [Poster]

Meredith, D., Wiggins, G. A. and Lemström, K. (2001). Pattern induction and matching in polyphonic music and other multi-dimensional datasets. In Callaos, N., Zong, X., Vergez, C. and Pelaez, J. R. (eds.) Proceedings of the 5th World Multiconference on Systemics, Cybernetics and Informatics (SCI2001), July 22-25, Orlando, FL., Vol. X, pp. 61-66. [Full paper] [Slides with notes (PDF, 652KB)]

Meredith, D. (1999). The computational representation of octave equivalence in the Western staff notation system. Cambridge Music Processing Colloquium 1999, Department of Engineering, University of Cambridge. [Full paper (PDF, 160KB)]

Meredith, D. (1994). The structure of a computational model of tonal composition. In Proceedings of the 3rd International Conference on Music Perception and Cognition, Liège, Belgium.

Meredith, D. (1991). Towards a formal cognitive theory of harmonic pitch structure in the music of J.S.Bach. In International Conference on Computers in Music Research, Queen's University of Belfast, 7-10 April 1991. [Extended abstract]

Meredith, D. (1990). Computer-aided comparison of syntax systems in three piano pieces by Debussy. In 2nd International Conference on Music and the Cognitive Sciences, University of Cambridge.

Dissertation

Meredith, D. (2007). Computing Pitch Names in Tonal Music: A Comparative Analysis of Pitch Spelling Algorithms. D.Phil. dissertation. Faculty of Music, University of Oxford. Defended 2 February 2007, final version approved 10 May 2007. [Full text (PDF, 6.19MB)] [Publication on Oxford University Research Archive]

Patents

Meredith, D. (2004). Method of computing the pitch names of notes in MIDI-like music representations. US Patent application No. 10/821,962. Filed on 12 April 2004. (Priority date claimed: 11 April 2003). [Full patent documentation (PDF, 772KB)]

Meredith, D., Wiggins, G. A. and Lemström, K. (2002/2003). Method of pattern discovery. International Patent Publication Number WO02/095621 A2, published 28 November 2002. UK Patent GB2379056, published 26 February 2003, granted 29 September 2004. (Priorities: GB0112551 23 May 2001; GB0200203 07 Jan 2002). [Draft] [Copy of UK patent application] [Copy of international patent application] [Entry in European Patent Register] [On esp@cenet here]

Preprints

Meredith, D. (2022). Understanding and compressing music with maximal transformable patterns. Submitted on 26 Jan 2022, last revised 28 Jan 2022. arXiv:2201.11085

Meredith, D. (2019). RECURSIA-RRT: Recursive translatable point-set pattern discovery with removal of redundant translators. Submitted on 28 Jun 2019, last revised 9 Sep 2019. arXiv:1906.12286v2 [Associated source code]

Seminars, presentations and invited talks

Meredith, D. (2024). Geometric Compression Algorithms for Music Analysis. Keynote talk given at Journées d'Informatique Musicale 2024, 8 May 2024, Marseille, France. [Slides]

Meredith, D. (2021). Geometric, Compression-based Pattern Discovery in Music. MIRAGE Symposium #1: Computational Musicology, 8-9 June 2021, RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo. [Slides] [Video]]

Meredith, D. (2019). Annual review of research by The Music Informatics and Cognition Research Group (MusIC) at Media Technology Section Meeting, Department of Architecture, Design and Media Technology, Aalborg University, Denmark. (19 August 2019). [Slides]

Meredith, D. (2018). Computational music analysis and generation. Presentation of the research of The Music Informatics and Cognition Research Group (MusIC) at Department of Music, University of Aarhus, Denmark. (11 October 2018). [Slides]

Meredith, D. (2018). Music cognition, musical creativity and data compression. Presentation at panel on "The Role of Cognition in Creative Music Systems" at Conference on Computer Simulation of Musical Creativity (CSMC 2018), University College Dublin, Ireland. (21 August 2018) [Slides]

Meredith, D. (2018). Computational music analysis and generation. Presentation of the research of The Music Informatics and Cognition Research Group (MusIC) at Media Technology Section Meeting, Department of Architecture, Design and Media Technology, Aalborg University, Denmark. (28 May 2018). [Slides]

Meredith, D. (2016). Geometric, compression-based pattern discovery in music. ZiF Workshop on "From Computational Creativity to Creativity Science", Zentrum für interdisciplinäre Forschung, Bielefeld, Germany. (20 September 2016). [Slides]

Meredith, D. (2016). Geometric, compression-based pattern discovery in music. Sound and Music Computing Colloquium, Aalborg University Copenhagen. (11 May 2016). [Slides]

Meredith, D., Velarde, G., Bemman, B. and Lartillot, O. (2014). Presentation of the research of The Music Informatics and Cognition Research Group. (24 September 2014). [Meredith's slides] [Velarde's slides] [Bemman's slides] [Lartillot's slides]

Meredith, D. (2013). Music analysis and point-set compression. (18 December, 2013). Music and Sound Knowledge Group (MaSK), Aalborg University, Denmark. [Slides (zipped)]

Meredith, D. (2013). Music analysis and point-set compression. (26 September 2013). Music in the Brain, Aarhus University, Denmark. [Slides (zipped)]

Meredith, D. (2013). Point-set algorithms for discovering repeated patterns in music. (5 August 2013). Department of Computer Science, Aarhus University, Denmark. [Slides (zipped)]

Meredith, D. (2008). Music Processing Algorithms. (8 October 2008). Faculty of Music, Cambridge University, Cambridge, UK. [Powerpoint presentation]

Meredith, D. (2008). Music Processing Algorithms. (10 September 2008). Department of Media Technology, Aalborg University, Aalborg, Denmark. [Powerpoint presentation]

Meredith, D. (2006). Modelling the perception and cognition of musical structure. (20 November 2006). IMR-AHRC Research Skills Training Seminar, British Library, London, UK. [Powerpoint presentation]

Meredith, D. (2006). Algorithms for pattern discovery and pitch spelling in music. (14 March 2006). Microsoft Research, Cambridge, UK. [Powerpoint presentation (5.9MB)]

Meredith, D. (2003). Pitch spelling algorithms. MaMuX Seminar (13 December 2003), IRCAM, Centre G. Pompidou, 1, place I. Stravinsky, 75004 Paris. [Slides and notes (PDF, 1.8MB)] [Abstract and seminar program]

Meredith, D. (2003). David Temperley's The Cognition of Basic Musical Structures (Cambridge, MA: MIT Press, 2001). Science and Music Seminar (18 March 2003), Faculty of Music, University of Cambridge. [Slides with notes (PDF, 296KB)]

Meredith, D., Lemström, K. and Wiggins, G. A. (2002). Algorithms for discovering repeated patterns in multidimensional representations of polyphonic music. Seminar given at: Department of Computer Science (DAIMI), University of Aarhus, Denmark (10 December 2002); Department of Computer Science (DIKU), University of Copenhagen, Denmark (12 December 2002); and Department of Electronic Engineering, Queen Mary, University of London (19 February 2003). [Abstract for QM talk] [Slides with notes (PDF, 428KB)]

Meredith, D., Wiggins, G. A. and Lemström, K. (2001). A Geometric Approach to Repetition Discovery and Pattern Matching in Polyphonic Music. Computer Science Colloquium, Department of Computer Science, King's College London. [Slides with Notes (PDF, 328KB)]

Meredith, D., Wiggins, G. A. and Lemström, K. (2001). Pattern discovery and pattern matching in polyphonic music and other multidimensional datasets. (12 June 2001). Faculty of Music, University of Edinburgh. [Slides with notes (PDF, 1.1MB)]

Meredith, D. (2000). Discovering translation-invariant patterns in music and other multidimensional datasets. Department of Computer Science, University of Helsinki, Finland. [Abstract]

Meredith, D. (1999). Representing pitch relations using digraphs. (16 March 1999). Faculty of Music, University of Cambridge. [Slides with notes (PDF, 212KB)]

Letters, reviews, reports and editorials

Meredith, D. and Devaney, J. (2024). Multidisciplinarity in the Journal of New Music Research. Journal of New Music Research, 52(2-3):105-106. [Online publication]

Devaney, J. and Meredith, D. (2024). Research on human engagement with music in the Journal of New Music Research. Journal of New Music Research, 52(1):1-2. [Online publication]

Devaney, J. and Meredith, D. (2023). Diversity in the Journal of New Music Research. Journal of New Music Research, 51(4-5):259-261.[Online publication]

Devaney, J. and Meredith, D. (2023). What do we mean by `systematic', `empirically grounded' research?. Journal of New Music Research, 51(2-3):103-105. [Online publication]

Devaney, J. and Meredith, D. (2023). Inaugural editorial. Journal of New Music Research, 51(1):1-2. [Online publication]

Meredith, D. (2007). Proof of the Equivalence of the Spiral Array and the Line of Fifths in Chew and Chen's Pitch-Spelling Algorithm. Computer Music Journal, 31(4), pp. 5-7. [Online publication]

Meredith, D. (2007). Report on AHRC ICT Methods Network Workshop on "The Future of Information Technology in Music Research and Practice", held at Goldsmiths College, University of London, 8 September 2006. [HTML] [PDF]

Meredith, D. (2006). Rapporteur's Report on AHRC ICT Methods Network Expert Seminar on "Modern Methods for Musicology: Prospects, Proposals and Realities", held at Royal Holloway, University of London, 3 March 2006. [HTML] [PDF]

Meredith, D. (2004). Review of SARC Research Workshop on Music Informatics and Cognition, 29 May, 2004, Sonic Arts Research Centre (SARC), Queen's University of Belfast. Available online [here].

Pearce, M. T. and Meredith, D. (2004). Review of the Second International Symposium on Computer Music Modeling and Retrieval (CMMR 2004). Computer Music Journal, 28(4), pp. 91-93. [Online publication] [Draft]

Meredith, D. (2002). Review of David Temperley's The Cognition of Basic Musical Structures (Cambridge, MA: MIT Press, 2001). Musicae Scientiae, 6(2), pp. 287-302. [Draft]

Press clippings

"Forskning i musiktemaer", Jyllands posten Morgenavisen, Sunday 21 December 2014. [News clipping]

Other writings

Meredith, D. (2001). MIPS: A Formal Language for the Mathematical Investigation of Pitch Systems. (Version of 10 September 2001.) [Full document (PDF, 1.1MB)]

Meredith, D. (1996). The Logical Structure of an Algorithmic Theory of Tonal Music. Full text available [here as PDF (4.9MB)] and [here as ZIP, 3.6MB].


© 2001-2023 by David Meredith. All rights reserved.