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Guide to Computing for Expressive Music Performance

Editore: London : Springer London : Imprint: Springer, 2013.
Serie: SpringerLink : Bücher
Edizione/Formato:   eBook : Document : EnglishVedi tutte le edizioni e i formati
Banca dati:WorldCat
Sommario:

This book discusses all aspects of computing for expressive performance, from the history of CSEMPs to the very latest research, in addition to detailing the fundamental ideas, and key issues and  Per saperne di più…

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Tipo materiale: Document, Risorsa internet
Tipo documento: Internet Resource, Computer File
ISBN: 9781447141235 1447141237 9781447141228 1447141229
Numero OCLC: 812052231
Note: Computer Science (Springer-11645).
Descrizione: Online-Ressource.
Contenuti: An Overview of Computer Systems for Expressive Music Performance Alexis Kirke and Eduardo Miranda Systems for Interactive Control of Computer Generated Music Performance Marco Fabiani, Anders Friberg and Roberto Bresin Expressive Performance Rendering with Probabilistic Models Sebastian Flossmann, Maarten Grachten and Gerhard Widmer Artificial Evolution of Expressive Performance of Music: An Imitative Multi-Agent Systems Approach Eduardo Miranda, Alexis Kirke and Qijun Zhang Modelling, Analysing, Identifying and Synthesizing Expressive Popular Music Performances Rafael Ramirez, Esteban Maestre and Alfonso Perez Statistical Approach to Automatic Expressive Rendition of Polyphonic Piano Music Tae Hun Kim, Satoru Fukayama, Takuya Nishimoto and Shigeki Sagayama Evaluation of Computer Systems for Expressive Music Performance Roberto Bresin and Anders Friberg Computational Music Theory and its Applications to Expressive Performance and Composition Masatoshi Hamanaka, Keiji Hirata and Satoshi Tojo Anthropomorphic Musical Robots Designed to Produce Physically-Embodied Expressive Music Performances Jorge Solis and Atsuo Takanishi
Titolo della serie: SpringerLink : Bücher
Responsabilità: edited by Alexis Kirke, Eduardo R. Miranda.
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"This is a useful reference book for any scientific library that supports music research." (Soubhik Chakraborty, ACM Computing Reviews, Apr 10 2013, Review #: CR141126)

 
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