| |||||||||||||||
CMMR 2010 : 7th International Symposium on Computer Music Modeling and RetrievalConference Series : Computer Music Modeling and Retrieval | |||||||||||||||
Link: http://www.cmmr2010.etsit.uma.es/ | |||||||||||||||
| |||||||||||||||
Call For Papers | |||||||||||||||
Background
The field of computer music is interdisciplinary by nature and closely related to a number of computer science and engineering areas such as information retrieval, human computer interaction, digital libraries, hypermedia, artificial intelligence, acoustics, signal processing, etc. The first CMMR gatherings mainly focused on information retrieval, programming, digital libraries, hypermedia, artificial intelligence, acoustics and signal processing. Little by little CMMR has moved towards more interdisciplinary aspects related to the role of human interaction in musical practice, perceptual and cognitive aspects linked to sound modelling and how sense or meaning can be transmitted either from isolated sounds or musical structure as a whole. All the CMMR gatherings have resulted in post symposium proceedings published by Springer Verlag in the Lecture Notes in Computer Sciences Series (LNCS 2771, LNCS 3310, LNCS 3902, LNCS 4969), and this is also planned for the CMMR 2010. CMMR 2010 invites researchers, educators, composers, performers, and others with an interest in important aspects of computer music (including modeling, retrieval, analysis, and synthesis) to join us for a unique event. Topics Original contributions are encouraged in, but not limited to, the following topics: * Auditory perception and cognition * Virtual reality, augmented reality and human-computer interaction * Digital music libraries * New methods for music representation and visualization * Retrieval and recommendation tools * Games and interactive learning * Music production and composition tools * Structuring of audio data * Cooperative music networks * Analysis, recognition, comparison, classification, and modeling of sound and music * Music and sound data mining * Sound synthesis * Optical music recognition * Semantic music technologies * Sound source separation * Music structure analysis * Music transcription * Artificial intelligence and cognitive science for sound and music |
|