000			03875nam a2200493 i 4500
001			6267345
003			IEEE
005			20190220121646.0
006			m o d
007			cr |n|||||||||
008			151223s2010 maua ob 001 eng d
020			_a9780262257077 _qebook
020			_z9780262201667 _qalk. paper
020			_z0262201666 _qalk. paper
020			_z0262257076 _qelectronic
035			_a(CaBNVSL)mat06267345
035			_a(IDAMS)0b000064818b4333
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aML3838 _b.T46 2007eb
082	0	4	_a781.2 _222
100	1		_aTemperley, David, _eauthor.
245	1	0	_aMusic and probability / _cDavid Temperley.
264		1	_aCambridge, Massachusetts : _bMIT Press, _cc2007.
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2010]
300			_a1 PDF (xi, 244 pages) : _billustrations, music.
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
504			_aIncludes bibliographical references (p. [225]-235) and indexes.
505	0		_aProbabilistic foundations and background -- Melody I : the rhythm model -- Melody II : the pitch model -- Melody III : expectation and error detection -- A polyphonic key-finding model -- Applications of the polyphonic key-finding model -- Bayesian models of other aspects of music -- Style and composition -- Communicative pressure.
506	1		_aRestricted to subscribers or individual electronic text purchasers.
520			_aIn Music and Probability, David Temperley explores issues in music perception and cognition from a probabilistic perspective. The application of probabilistic ideas to music has been pursued only sporadically over the past four decades, but the time is ripe, Temperley argues, for a reconsideration of how probabilities shape music perception and even music itself. Recent advances in the application of probability theory to other domains of cognitive modeling, coupled with new evidence and theoretical insights about the working of the musical mind, have laid the groundwork for more fruitful investigations. Temperley proposes computational models for two basic cognitive processes, the perception of key and the perception of meter, using techniques of Bayesian probabilistic modeling. Drawing on his own research and surveying recent work by others, Temperley explores a range of further issues in music and probability, including transcription, phrase perception, pattern perception, harmony, improvisation, and musical styles.Music and Probability--the first full-length book to explore the application of probabilistic techniques to musical issues--includes a concise survey of probability theory, with simple examples and a discussion of its application in other domains. Temperley relies most heavily on a Bayesian approach, which not only allows him to model the perception of meter and tonality but also sheds light on such perceptual processes as error detection, expectation, and pitch identification. Bayesian techniques also provide insights into such subtle and advanced issues as musical ambiguity, tension, and "grammaticality," and lead to interesting and novel predictions about compositional practice and differences between musical styles.
530			_aAlso available in print.
538			_aMode of access: World Wide Web
588			_aDescription based on PDF viewed 12/23/2015.
650		0	_aMusical perception _xMathematical models.
650		0	_aMusic and probability.
650		7	_aMUSIC _xInstruction & Study _xTheory. _2bisacsh
655		0	_aElectronic books.
710	2		_aIEEE Xplore (Online Service), _edistributor.
710	2		_aMIT Press, _epublisher.
776	0	8	_iPrint version _z9780262201667
856	4	2	_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267345
999			_c39259 _d39259