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000704678 020__ $$z9781493905355
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000704678 020__ $$a9781493905362 $$qelectronic book
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000704678 035__ $$aSP(OCoLC)ocn877886005
000704678 035__ $$aSP(OCoLC)877886005
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000704678 08204 $$a306.5$$b23$$222
000704678 24500 $$aDigital Da Vinci :$$bcomputers in music /$$cNewton Lee, editor.
000704678 264_1 $$aNew York :$$bSpringer,$$c2014.
000704678 300__ $$a1 online resource
000704678 336__ $$atext$$btxt$$2rdacontent
000704678 337__ $$acomputer$$bc$$2rdamedia
000704678 338__ $$aonline resource$$bcr$$2rdacarrier
000704678 504__ $$aIncludes bibliographical references and index.
000704678 506__ $$aAccess limited to authorized users.
000704678 520__ $$aThe Digital Da Vinci book series opens with the interviews of music mogul Quincy Jones, MP3 inventor Karlheinz Brandenburg, Tommy Boy founder Tom Silverman and entertainment attorney Jay L. Cooper. A strong supporter of science, technology, engineering and mathematics programs in schools, The Black Eyed Peas founding member will.i.am announced in July 2013 his plan to study computer science. Leonardo da Vinci, the epitome of a Renaissance man, was an Italian polymath at the turn of the 16th century. Since the Industrial Revolution in the 18th century, the division of labor has brought forth specialization in the workforce and university curriculums. The endangered species of polymaths is facing extinction. Computer science has come to the rescue by enabling practitioners to accomplish more than ever in the field of music. In this book, Newton Lee recounts his journey in executive producing a Billboard-charting song like managing agile software development; M. Nyssim Lefford expounds producing and its effect on vocal recordings; Dennis Reidsma, Mustafa Radha and Anton Nijholt survey the field of mediated musical interaction and musical expression; Isaac Schankler, Elaine Chew and Alexandre François describe improvising with digital auto-scaffolding; Shlomo Dubnov and Greg Surges explain the use of musical algorithms in machine listening and composition; Juan Pablo Bello discusses machine listening of music; Stephen and Tim Barrass make smart things growl, purr and sing; Raffaella Folgieri, Mattia Bergomi and Simone Castellani examine EEG-based brain-computer interface for emotional involvement in games through music and last but not least, Kai Ton Chau concludes the book with computer and music pedagogy. Digital Da Vinci: Computers in Music is dedicated to polymathic education and interdisciplinary studies in the digital age empowered by computer science. Educators and researchers ought to encourage the new generation of scholars to become as well rounded as a Renaissance man or woman.
000704678 588__ $$aDescription based on print version record.
000704678 650_0 $$aMusic$$xComputer programs.
000704678 650_0 $$aDigital jukebox software.
000704678 650_0 $$aDigital music players.
000704678 7001_ $$aLee, Newton,$$eeditor.
000704678 77608 $$iPrint version:$$tDigital Da Vinci$$z9781493905355$$w(OCoLC)867614699
000704678 85280 $$bebk$$hSpringerLink
000704678 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-1-4939-0536-2$$zOnline Access
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000704678 980__ $$aEBOOK
000704678 980__ $$aBIB
000704678 982__ $$aEbook
000704678 983__ $$aOnline
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