Publications

The majority of the following publications are posted as PDFs. Where appropriate, the software related to these papers can be found on the jMIR home page or in the software projects section of this web site.

A number of unpublished course papers are also available.

Scholarly Book Chapters and Journal Articles

McKay, C. and I. Fujinaga. 2013. Expressing musical features, class labels, ontologies, and metadata using ACE XML 2.0. In Structuring Music through Markup Language: Designs and Architectures, ed. J. Steyn, 48–79. Hershey, PA: IGI Global.

McKay, C., and I. Fujinaga. 2007. Style-independent computer-assisted exploratory analysis of large music collections. Journal of Interdisciplinary Music Studies 1 (1): 63–85.

Wanderley, M., B. Vines, N. Middleton, C. McKay, and W. Hatch. 2005. The musical significance of clarinetists’ ancillary gestures: An exploration of the field. Journal of New Music Research 34 (1): 97–113.

Peer-Reviewed Academic Conference Papers, Presentations, Posters and Demonstrations

Fujinaga, I, J. Cumming, A. Hankinson, R. Krämer, C. McKay, P. Schubert, and J. Wild. 2017. Large-corpus music research. Presented at the Congress of the International Musicology Society. 212.

McKay, C., J. Cumming, and I. Fujinaga. 2017. Characterizing composers using jSymbolic2 features. Extended Abstracts for the Late-Breaking Demo Session of the 18th International Society for Music Information Retrieval Conference.

McKay, C., A. Hankinson, J. Cumming, and I. Fujinaga. 2017. A database model for computational music research. Presented at the International Workshop on Digital Libraries for Musicology.

McKay, C., T. Tenaglia, J. Cumming, and I. Fujinaga. 2017. Using statistical feature extraction to distinguish the styles of different composers. Presented at the Medieval and Renaissance Music Conference. 111.

McKay, C., T. Tenaglia, and I. Fujinaga. 2016. jSymbolic2: Extracting features from symbolic music representations. Extended Abstracts for the Late-Breaking Demo Session of the 17th International Society for Music Information Retrieval Conference.

Barbosa, J., C. McKay, and I. Fujinaga. 2015. Evaluating automated classification techniques for folk music genres from the Brazilian Northeast. 15th Brazilian Symposium on Computer Music. 3–12.

McKay, C., and I. Fujinaga. 2015. Building an infrastructure for a 21st-century global music library. Extended Abstracts for the Late-Breaking Demo Session of the 16th International Society for Music Information Retrieval Conference.

McKay, C. 2013. jProductionCritic: An educational tool for detecting technical errors in audio mixes. Proceedings of the International Society for Music Information Retrieval Conference. 71–6.

McKay, C., and D. Bainbridge. 2011. A musical web mining and audio feature extraction extension to the Greenstone digital library software. Proceedings of the International Society for Music Information Retrieval Conference. 459–464.

Angeles, B., C. McKay, and I. Fujinaga. 2010. Discovering metadata inconsistencies. Proceedings of the International Society for Music Information Retrieval Conference. 195–200.

McKay, C., J. A. Burgoyne, J. Hockman, J. B. L. Smith, G. Vigliensoni, and I. Fujinaga. 2010. Evaluating the genre classification performance of lyrical features relative to audio, symbolic and cultural features. Proceedings of the International Society for Music Information Retrieval Conference. 213–8.

McKay, C., and I. Fujinaga. 2010. Improving automatic music classification performance by extracting features from different types of data. Proceedings of the ACM SIGMM International Conference on Multimedia Information Retrieval. 257–66.

Vigliensoni, G., C. McKay, and I. Fujinaga. 2010. Using jWebMiner 2.0 to improve music classification performance by combining different types of features mined from the web. Proceedings of the International Society for Music Information Retrieval Conference. 607–12.

McKay, C., J. A. Burgoyne, J. Thompson, and I. Fujinaga. 2009. Using ACE XML 2.0 to store and share feature, instance and class data for musical classification. Proceedings of the International Society for Music Information Retrieval Conference. 303–8.

McKay, C., and I. Fujinaga. 2009. jMIR: Tools for automatic music classification. Proceedings of the International Computer Music Conference. 65–8.

Thompson, J., C. McKay, J. A. Burgoyne, and I. Fujinaga. 2009. Additions and improvements to the ACE 2.0 music classifier. Proceedings of the International Society for Music Information Retrieval Conference. 435–40.

Fujinaga, I., and C. McKay. 2008. ACE: Autonomous Classification Engine. Proceedings of the International Conference on Music Perception and Cognition.

McKay, C., and I. Fujinaga. 2008. Combining features extracted from audio, symbolic and cultural sources. Proceedings of the International Conference on Music Information Retrieval. 597–602.

Fujinaga, I., J. A. Burgoyne, C. Lai, B. Li, C. McKay, and L. Pugin. 2007. Distributed Digital Music Archives and Libraries (DDMAL). Presented at the Joint Conference of the Canadian Association of Music Libraries and the Association of Quebec Music Libraries.

McEnnis, D., C. McKay, and I. Fujinaga. 2006. jAudio: Additions and improvements. Proceedings of the International Conference on Music Information Retrieval. 385–6.

McEnnis, D., C. McKay, and I. Fujinaga. 2006. Overview of OMEN. Proceedings of the International Conference on Music Information Retrieval. 7–12.

McKay, C., and I. Fujinaga. 2007. jWebMiner: A web-based feature extractor. Proceedings of the International Conference on Music Information Retrieval. 113–4.

McKay, C., and I. Fujinaga. 2006. jSymbolic: A feature extractor for MIDI files. Proceedings of the International Computer Music Conference. 302–5.

McKay, C., and I. Fujinaga. 2006. Musical genre classification: Is it worth pursuing and how can it be improved?. Proceedings of the International Conference on Music Information Retrieval. 101–6.

McKay, C., and I. Fujinaga. 2006. Style-independent computer-assisted exploratory analysis of large music collections. Presented at the Joint Meeting of the American Musicological Society and the Society for Music Theory.

McKay, C., D. McEnnis and I. Fujinaga. 2006. A large publicly accessible prototype audio database for music research. Proceedings of the International Conference on Music Information Retrieval. 160–3.

Fiebrink, R., C. McKay, and I. Fujinaga. 2005. Combining D2K and JGAP for efficient feature weighting for classification tasks in music information retrieval. Proceedings of the International Conference on Music Information Retrieval. 510–3

McEnnis, D., C. McKay, I. Fujinaga, and P. Depalle. 2005. jAudio: A feature extraction library. Proceedings of the International Conference on Music Information Retrieval. 600–3.

McKay, C. 2005. Approaches to overcoming problems in interactive musical performance systems. Presented at the McGill Graduate Students Society Symposium.

McKay, C., R. Fiebrink, D. McEnnis, B. Li, and I. Fujinaga. 2005. ACE: A framework for optimizing music classification. Proceedings of the International Conference on Music Information Retrieval. 42–9.

McKay, C., and I. Fujinaga. 2005. Automatic music classification and the importance of instrument identification. Proceedings of the Conference on Interdisciplinary Musicology. CD-ROM.

McKay, C., and I. Fujinaga. 2005. The Bodhidharma system and the results of the MIREX 2005 symbolic genre classification contest. Presented at the International Conference on Music Information Retrieval.

McKay, C., D. McEnnis, R. Fiebrink, and I. Fujinaga. 2005. ACE: A general-purpose classification ensemble optimization framework. Proceedings of the International Computer Music Conference. 161–4.

Sinyor, E., C. McKay, R. Fiebrink, D. McEnnis, and I. Fujinaga. 2005. Beatbox classification using ACE. Proceedings of the International Conference on Music Information Retrieval. 672–5.

McKay, C. 2004. Issues in automatic musical genre classification. Presented at the McGill Graduate Students Society Symposium.

McKay, C., and I. Fujinaga. 2004. Automatic genre classification as a study of the viability of high-level features for music classification. Proceedings of the International Computer Music Conference. 367–70.

McKay, C. and I. Fujinaga. 2004. Automatic genre classification using large high-level musical feature sets. Proceedings of the International Conference on Music Information Retrieval. 525–30.

Invited Presentations

McKay, C. 2017. Using statistical feature extraction and machine learning in musicological research. Presented at the CIRMMT Workshop on SIMSSA (Single Interface for Music Score Searching and Analysis), McGill University, Montreal, Canada. 7 August 2017.

McKay, C. 2016. jSymbolic 2: New developments and research opportunities. Presented at the CIRMMT Workshop on SIMSSA (Single Interface for Music Score Searching and Analysis), McGill University, Montreal, Canada. 24 September 2016.

McKay, C. 2013. Combining symbolic and audio musical data: A music classification perspective. Presented at the CIRMMT Workshop on Symbolic Music Processing, Semantic Audio, and Music Information Retrieval, McGill University, Montreal, Canada. 15 November 2013.

McKay, C. 2013. Applying music information retrieval techniques to audio production education. Presented at the CIRMMT Research Seminar. McGill University, Montreal, Canada. 8 September 2013.

McKay, C. 2012. Classifying music with jMIR. Invited Speaker. Department of Languages and Science of Computation, University of Malaga, Spain. 10 January 2012.

McKay, C. 2010. Evaluating the performance of lyrical features relative to and in combination with audio, symbolic and cultural features. Presented at the CIRMMT Workshop on Music Information Retrieval and Cultural Data , McGill University, Montreal, Canada. 22 October 2010.

McKay, C. 2009. Using timbre to predict musical genre: Promising solution or dead end?. Presented at the CIRMMT Workshop on Timbre, McGill University, Montreal, Canada. 11 October 2009.

McKay, C., J. A. Burgoyne, and I. Fujinaga. 2009. jMIR and ACE XML: Tools for performing and sharing research in automatic music classification. Presented at the ACM/IEEE Joint Conference on Digital Libraries Workshop on Integrating Digital Library Content with Computational Tools and Services.

McKay, C. 2008. Combining features extracted from audio, symbolic, and cultural sources. Presented at the CIRMMT Music Technology Colloquium, McGill University, Montreal, Canada. 30 September 2008.

McKay, C. 2008. Combining feature types with jMIR. Poster presentation at the Montreal Music and Machine Learning Workshop, Université de Montréal, Montreal, Canada. 14 November 2008.

McKay, C., J. Frank, and J. Turel. 2007. Audiofile: No box, no limit. Presented at Pop & Policy 2007: Music Fast Forward.

Theses

McKay, C. 2010. Automatic music classification with jMIR. Ph.D. Dissertation. McGill University, Canada.

McKay, C. 2004. Automatic genre classification of MIDI recordings. M.A. Thesis. McGill University, Canada.

McKay, C. 2002. SpeciesChecker: A system for automatically proofreading species counterpoint. Undergraduate Thesis. University of Guelph, Canada.

McKay, C. and T. M. Luong. 1998. Localization of mobile robots using magnetic fields. Undergraduate Thesis. McGill University, Canada.


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