Music and probability / (Record no. 73000)

000 -LEADER
fixed length control field 03944nam a2200505 i 4500
001 - CONTROL NUMBER
control field 6267345
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220712204636.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151223s2010 maua ob 001 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780262257077
-- ebook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- alk. paper
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- alk. paper
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic
082 04 - CLASSIFICATION NUMBER
Call Number 781.2
100 1# - AUTHOR NAME
Author Temperley, David,
245 10 - TITLE STATEMENT
Title Music and probability /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 PDF (xi, 244 pages) :
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Probabilistic 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.
520 ## - SUMMARY, ETC.
Summary, etc In 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.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Mathematical models.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Instruction & Study
-- Theory.
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267345
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cambridge, Massachusetts :
-- MIT Press,
-- c2007.
264 #2 -
-- [Piscataqay, New Jersey] :
-- IEEE Xplore,
-- [2010]
336 ## -
-- text
-- rdacontent
337 ## -
-- electronic
-- isbdmedia
338 ## -
-- online resource
-- rdacarrier
588 ## -
-- Description based on PDF viewed 12/23/2015.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Musical perception
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Music and probability.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- MUSIC

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