Title: Postdoctoral Research Assistant
Research Group: Centre for Digital Music
Supervisor: Mark Plumbley
For the latest articles see also Dan Stowell on arXiv
2013 and forthcoming
D. Stowell and M. D. Plumbley, Segregating event streams and noise with a Markov renewal process model. Accepted in: Journal of Machine Learning Research.
D. Stowell, S. Musevic, J. Bonada and M. D. Plumbley, Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering . Accepted in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), May 2013. [Poster]
D. Stowell and S. Dixon, Integration of informal music technologies in secondary school music lessons. British Journal of Music Education, in press.
D. Stowell and A. McLean, Live music-making: a rich open task requires a rich open interface. In: Holland, S., Wilkie, K., Mulholland, P. and Seago, A. (eds.) Music and Human Computer Interaction, in press.
D. Stowell and M. D. Plumbley, Multi-target pitch tracking of vibrato sources in noise using the GM-PHD filter. In: Proceedings of Proceedings of the 5th International Workshop on Machine Learning and Music (MML12), July 2012.
D. Stowell and E. Chew, Bayesian MAP estimation of piecewise arcs in tempo time-series. In: Proceedings of CMMR 2012, June 2012.
D. Stowell and M. D. Plumbley, Learning timbre analogies from unlabelled data by multivariate tree regression. Journal of New Music Research, 40 (4), 325-336, 2011. DOI:10.1080/09298215.2011.596938
D. Stowell and S. Dixon, MIR in school? Lessons from ethnographic observation of secondary school music classes. In: Proceedings of ISMIR 2011.
D. Stowell and A. McLean, Live music-making: a rich open task requires a rich open interface. In: Proceedings of the BCS HCI 2011 Workshop - When Words Fail: What can Music Interaction tell us about HCI? July 2011
D. Stowell, Scheduling and composing with Risset eternal accelerando rhythms. International Computer Music Conference (ICMC), June 2011.
D. Stowell, M. Barthet, S. Dixon and M. Sandler. Musicology for the masses: Situating new audio technologies for musicology and music education. In: Proceedings of the Digital Economy All Hands Conference 2011, accepted.
D. Stowell, Writing Unit Generator Plugins, in Wilson, Cottle and Collins (eds.) The SuperCollider Book. Cambridge, MA: MIT Press. 2011.
D. Stowell and M. D. Plumbley, Delayed decision-making in real-time beatbox percussion classification. Journal of New Music Research 39 (3), 203-213, September 2010. DOI:10.1080/09298215.2010.512979
D. Stowell and M. D. Plumbley, Birdsong and C4DM: A survey of UK birdsong and machine recognition for music researchers. Tech. Rep. C4DM-TR-09-12, Centre for Digital Music, Queen Mary University of London, August 2010.
D. Stowell, Making music through real-time voice timbre analysis: machine learning and timbral control. PhD thesis, School of Electronic Engineering and Computer Science, Queen Mary University of London, August 2010.
D. Stowell and M. D. Plumbley, Cross-associating unlabelled timbre distributions to create expressive musical mappings, Workshop on Applications of Pattern Analysis, August 2010.
D. Stowell and M. D. Plumbley, Timbre remapping through a regression-tree technique, Sound and Music Computing conference, July 2010.
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D. Stowell and M. D. Plumbley, Fast multidimensional entropy estimation by k-d partitioning, IEEE Signal Processing Letters 16 (6), 537–540, June 2009. DOI:10.1109/LSP.2009.2017346
D. Stowell, A. Robertson, M. D. Plumbley, and N. Bryan-Kinns, Evaluation of live human-computer music-making: quantitative and qualitative approaches, International Journal of Human-Computer Studies 67 (11), 960-975, November 2009. DOI:10.1016/j.ijhcs.2009.05.007
D. Stowell and M. D. Plumbley, Robustness and independence of voice timbre features under live performance acoustic degradations. 11th Conference on Digital Audio Effects (DAFx '08).
D. Stowell, M. D. Plumbley, and N. Bryan-Kinns, Discourse analysis evaluation method for expressive musical interfaces. New Interfaces for Musical Expression (NIME'08)
D. Stowell and M. D. Plumbley, Characteristics of the beatboxing vocal style, Tech. Rep. C4DM-TR-08-01, Dept. of Electronic Engineering, Queen Mary, University of London, 2008.
D. Stowell and M. D. Plumbley. Adaptive whitening for improved real-time
audio onset detection. In: Proceedings of the International Computer Music Conference (ICMC'07), Copenhagen, Denmark, pp 312-319, August 2007.
D. Stowell and M. D. Plumbley. Pitch-aware real-time timbral re-mapping. In Proceedings of the Digital Music Research Network Summer Conference, Leeds Metropolitan University, UK, 7-8 July 2007.
D. Stowell. Genetic Algorithms and live evolution. SuperCollider symposium,
Birmingham, July 2006.