By Rubén Hinojosa Chapel (auth.), Uffe Kock Wiil (eds.)
This booklet constitutes the completely refereed post-proceedings of the foreign laptop track Modeling and Retrieval Symposium, CMMR 2003, held in Montpellier, France, in could 2003.
The 20 revised complete papers have been rigorously chosen in the course of rounds of reviewing and development. end result of the interdisciplinary nature of the world, the papers tackle a vast number of issues together with info retrieval, programming, human-computer interplay, electronic libraries, hypermedia, man made intelligence, acoustics, sign processing, and so forth. The publication comes with a CD-ROM featuring supplementary fabric for the papers included.
Read Online or Download Computer Music Modeling and Retrieval: International Symposium, CMMR 2003, Montpellier, France, May 26-27, 2003. Revised Papers PDF
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Extra info for Computer Music Modeling and Retrieval: International Symposium, CMMR 2003, Montpellier, France, May 26-27, 2003. Revised Papers
E. starting from symbolic information we search for event start times into audio ﬁle. It is possible to search for all musical events of an ensemble score or only for a single instrument part. These indexes are then stored in the XML ﬁle as meta-data information about the audio ﬁle. 3 Performance Performance category embraces sub-symbolic formats such as MIDI ﬁles, Csound or SASL/SAOL (MPEG4). These formats can be seen as hybrid because they contain neither score nor pure audio information. They essentially encode information of what to play and how the sounds must be created.
These fundamental rules are supplemented by the possibility, for certain pieces, of a specific type of organisation of the framework-intervals with respect to the central core formed by the degrees sung by the various parts of the polyphony. The Bedzan’s conceptual model is dynamic. Based on a limited number of rules, it applies a set of reciprocal constraints, the equilibrium of which must be respected in order to ensure the continuity of the system. It is probably the very simplicity of the system that makes it simultaneously so free and so complex, ensuring easy transmission from generation to generation.
Musical Data Management module. The second step in this pre-processing phase is the extraction of source patterns. This activity is done by the Score Segmenter and Music Index Generator (SS-MIG) Module, shown in Figure 3a, software developed at LIM, capable of extracting source module patterns from XML ﬁles. Such patterns are extracted using a score segmentation algorithm . In addition, it is possible to manually reﬁne the output of the SS-MIG by adding, removing or modifying some of the patterns found by the SS-MIG.