000 03240nam a22006015i 4500
001 978-3-319-11472-9
003 DE-He213
005 20200421111659.0
007 cr nn 008mamaa
008 141127s2014 gw | s |||| 0|eng d
020 _a9783319114729
_9978-3-319-11472-9
024 7 _a10.1007/978-3-319-11472-9
_2doi
050 4 _aNX260
072 7 _aH
_2bicssc
072 7 _aUB
_2bicssc
072 7 _aCOM018000
_2bisacsh
072 7 _aART000000
_2bisacsh
082 0 4 _a004
_223
100 1 _aChakraborty, Soubhik.
_eauthor.
245 1 0 _aComputational Musicology in Hindustani Music
_h[electronic resource] /
_cby Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXI, 107 p. 56 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aComputational Music Science,
_x1868-0305
505 0 _aAn Introduction to Hindustani Music -- The Role of Statistics in Computational Musicology -- Introduction to Rubato: The Music Software for Statistical Analysis -- Modeling the Structure of Raga Bhimpalashree: A Statistical Approach -- Analysis of Lengths and Similarity of Melodies in Raga Bhimpalashree -- Raga Analysis Using Entropy -- Modeling Musical Performance Data with Statistics -- A Statistical Comparison of Bhairav (A Morning Raga) and Bihag (A Night Raga) -- Seminatural Composition -- Concluding Remarks.
520 _aThe book opens with a short introduction to Indian music, in particular classical Hindustani music, followed by a chapter on the role of statistics in computational musicology. The authors then show how to analyze musical structure using Rubato, the music software package for statistical analysis, in particular addressing modeling, melodic similarity and lengths, and entropy analysis; they then show how to analyze musical performance. Finally, they explain how the concept of seminatural composition can help a music composer to obtain the opening line of a raga-based song using Monte Carlo simulation. The book will be of interest to musicians and musicologists, particularly those engaged with Indian music.
650 0 _aComputer science.
650 0 _aMusic.
650 0 _aComputer science
_xMathematics.
650 0 _aApplication software.
650 0 _aMathematics.
650 0 _aStatistics.
650 1 4 _aComputer Science.
650 2 4 _aComputer Appl. in Arts and Humanities.
650 2 4 _aMusic.
650 2 4 _aMathematics in Music.
650 2 4 _aMathematics of Computing.
650 2 4 _aStatistics and Computing/Statistics Programs.
700 1 _aMazzola, Guerino.
_eauthor.
700 1 _aTewari, Swarima.
_eauthor.
700 1 _aPatra, Moujhuri.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319114712
830 0 _aComputational Music Science,
_x1868-0305
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-11472-9
912 _aZDB-2-SCS
942 _cEBK
999 _c54901
_d54901