| Date: | Saturday October 21st 2006 | |
| Place: | Institute for Logic, Language and Computation, University of Amsterdam, | Plantage Muidergracht 24, room P.017 |
| Organizer: | Aline Honingh |
| 13:00 - 13:30 | Rens Bod, University of St. Andrews/ University of Amsterdam | |
| 13:30 - 14:00 | Elaine Chew, University of Southern California | |
| 14:00 - 14:30 | Thomas Noll, Univeristy of Berlin/ ESMUC, Barcelona | |
| 14:30 - 15:00 | coffee break | |
| 15:00 - 15:30 | Henkjan Honing, University of Amsterdam | |
| 15:30 - 16:00 | Frans Wiering and Anja Volk, Utrecht University | |
| 16:00 - 17:00 | Discussion session chaired by Aline Honingh |
| Title: | Simplicity vs Likelihood in Computational Musicology |
| Abstract: | The controversy between simplicity-based and likelihood-based approaches has a long history in Artificial Intelligence and Cognitive Science. In this talk I will review some simplicity and likelihood measures and show how they may be put to use in bootstrapping melodic structure. I will argue that the notion of Most Compact Structure, as worked out by Aline Honingh, may be viewed as a measure of simplicity, which is one of two directions of the NWO research program ``Unifying Models of Linguistic, Musical and Visual Processing". |
| Title: | Building an interdisciplinary research program in computational music cognition |
| Abstract: | This presentation will give an overview of the research conducted at the Music Computation and Cognition Laboratory at the University of Southern California Viterbi School of Engineering. The narration will be somewhat chronological and thematic, showing the development of the research group and ideas over the past five years. Featured in the talk will be projects ranging from computational music analysis and visualization to expressive performance analysis and synthesis, the cultivation and recruitment of students for research in the area, and the development of a topical course on engineering approaches to music cognition. |
| Title: | Musical Intervals and Special Linear Transformations |
| Abstract: | For the abstract and paper, please see http://flp.cs.tu-berlin.de/~noll/MIST.pdf |
| Title: | Computational modeling of music cognition: The role of surprise in model selection |
| Abstract: | While the most common way of evaluating a computational model is by showing a good fit with the empirical data, recently the literature on theory testing and model selection criticizes the assumption that this is actually strong evidence for a model. This paper explores the possibilities of developing a method selection technique that can serve as an alternative to a goodness-of-fit (GOF) measure. This alternative, a measure of surprise, is based on the common idea that a model gets more support from the correct prediction of an unlikely event than the correct prediction of something that was expected anyway. |
| Title: | Creating a Search Engine for Folksongs... and Other Music |
| Abstract: | The Meertens Instituut of the KNAW hosts a large collection of Dutch folksongs, named "Onder de groene linde", consisting of some 7000 field recordings and 4000 transcriptions. In the recently-started WITCHCRAFT project, we design and test a melody search engine that will provide better access to both end users and researchers of this collection. The principal tasks for the engine to perform are:
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