A framework for the real-time analysis of musical events
Ibbotson, John Bryan (2009) A framework for the real-time analysis of musical events. University of Southampton, School of Electronics and Computer Science, Doctoral Thesis , 145pp.
In this thesis I propose a framework for the real-time creation of a harmonic structural model of music. Unlike most uses of computing in musicology which are based on batch processing, the framework uses publish/subscribe messaging techniques
found in business systems to create an interconnected set of collaborating applications within a network that process streamed events of the kind generated during a musical
performance. These applications demonstrate the transformation of data in the form of MIDI commands into information and knowledge in the form of the music’s harmonic
structure represented as a model using semantic web techniques.
With such a framework, collaborative performances over the network become possible with a shared representation of the music being performed accessible to all performers both human and potentially software agents. The framework demonstrates
novel real-time implementations of pitch spelling, chord and key extraction algorithms interacting with semantic web and database technologies in a collaborative manner. It draws on relevant research in information science, musical cognition, semantic web and business messaging technologies to implement a framework and set of software components for the real-time analysis of musical events, the output of which is a
description of the music’s harmonic structure. Finally, it proposes a pattern based approach to querying the generated model which suggests a visual query and navigation paradigm.
|Item Type:||Thesis (Doctoral)|
|Subjects:||Q Science > QA Mathematics > QA76 Computer software|
|Divisions:||University Structure - Pre August 2011 > School of Electronics and Computer Science > Intelligence, Agents, Multimedia
|Date Deposited:||12 May 2009|
|Last Modified:||08 Jun 2012 12:28|
|Contributors:||Ibbotson, John Bryan (Author)
De Roure, David (Thesis advisor)
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)