Our next session will be on Wednesday 17.04.2013, 2:30pm, room A303 (College Building), inviting you and all others interested to the discussion of the following paper: A. Marsden, “Schenkerian analysis by computer: a proof of concept,” Journal of New Music Research, Vol. 39, No. 3, pp. 269-289, 2010. Abstract: A system for automatically deriving...
Read more →Our next session will be on Wednesday 27.03.2013, 4:30pm, room A112 (College Building), where Srikanth Cherla will give an introduction to the Sonic Annotator/Visualiser frameworks (http://www.omras2.org/sonicannotator, http://www.sonicvisualiser.org/) – all welcome!
Read more →Our next session will be on Wednesday 13.03.2013, 4:30pm, XXX room changed to A112 XXX (College Building), inviting you all and others interested to the discussion of the following paper: C. Dittmar, E. Cano, J. Abesser, and S. Grollmisch, “Music Information Retrieval Meets Music Education,” in Multimodal Music Processing, Dagstuhl Follow-Ups, M. Müller, M. Goto, and M....
Read more →Our next session will be this Wednesday, 20.01.2013, 4:15pm, room AG06 (College Building), inviting you all and others interested to the discussion of the following paper: B, Smith and G. Garnett, “Improvising Musical Structure with Hierarchical Neural Nets“, in proceedings of Artificial Intelligence and Interactive Digital Entertainment Conference, 2012. Abstract: Neural networks and recurrent neural networks...
Read more →This session serves as a forum for discussing various music discovery systems currently available on the world wide web. Examples of such systems are not restricted to only those that rely on audio features extracted from music data for making recommendations, but also include those that rely on user & genre tags, data mining...
Read more →From the Abstract: The ability to anticipate forthcoming events has clear evolutionary advantages, and predictive successes or failures often entail significant psychological and physiological consequences. In music perception, the confirmation and violation of expectations are critical to the communication of emotion and aesthetic effects of a composition. Neuroscientific research on musical expectations has focused...
Read more →Our next session will be next Wednesday, 28.03.2012, at 13:00pm, inviting you all and others interested to the discussion of the following paper: Casey, M., Veltkamp, R., Goto, M., Leman, M., Rhodes,C., and Slaney, M.: “Content-based music information retrieval: current directions and future challenges.”
Read more →Rebecca Fiebrink et al.: Human Model Evaluation in Interactive Supervised Learning. http://www.cs.princeton.edu/~fiebrink/publications/FiebrinkCookTrueman_CHI2011.pdf Moreover, we invite you to join us for a post-meeting pint at the peasant. From the Abstract We present work studying the evaluation practices of end users interactively building supervised learning systems for real-world gesture analysis problems. We examine users’ model...
Read more →Our next session will be next Wednesday, 25.01.2012, at 1pm, inviting you all and others interested to the discussion of the following paper: On the non-existence of music: Why music theory is a figment of the imagination. Geraint Wiggins, Daniel Müllensiefen. and Marcus T. Pearce www.doc.gold.ac.uk/~mas03dm/papers/MSc_WigginsMullensiefenPearce_2010.pdf We argue for an approach to the theory...
Read more →The discussed paper Associations between Musicology and Music Information Retrieval Kerstin Neubarth, Mathieu Bergeron and Darrell Conklin A higher level of interdisciplinary collaboration between music information retrieval (MIR) and musicology has been proposed both in terms of MIR tools for musicology, and musicological motivation and interpretation of MIR research. Applying association mining and content...
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