000722689 000__ 03283cam\a2200541Ii\4500 000722689 001__ 722689 000722689 005__ 20230306140236.0 000722689 006__ m\\\\\o\\d\\\\\\\\ 000722689 007__ cr\un\nnnunnun 000722689 008__ 141203s2014\\\\sz\a\\\\ob\\\\000\0\eng\d 000722689 019__ $$a899249114 000722689 020__ $$a9783319114729$$qelectronic book 000722689 020__ $$a3319114727$$qelectronic book 000722689 020__ $$z9783319114712 000722689 0247_ $$a10.1007/978-3-319-11472-9$$2doi 000722689 035__ $$aSP(OCoLC)ocn897376983 000722689 035__ $$aSP(OCoLC)897376983$$z(OCoLC)899249114 000722689 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dYDXCP$$dOCLCO$$dOCLCQ$$dE7B$$dGW5XE$$dUPM$$dCOO$$dCUS 000722689 049__ $$aISEA 000722689 050_4 $$aML338$$b.C47 2014eb 000722689 08204 $$a781.2/64$$223 000722689 24500 $$aComputational musicology in Hindustani music$$h[electronic resource] /$$cSoubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra. 000722689 264_1 $$aCham :$$bSpringer,$$c2014. 000722689 300__ $$a1 online resource (xi, 107 pages) :$$bcolor illustrations. 000722689 336__ $$atext$$btxt$$2rdacontent 000722689 337__ $$acomputer$$bc$$2rdamedia 000722689 338__ $$aonline resource$$bcr$$2rdacarrier 000722689 347__ $$atext file$$bPDF$$2rda 000722689 4901_ $$aComputational music science,$$x1868-0305 000722689 504__ $$aIncludes bibliographical references. 000722689 5050_ $$aAn Introduction to Hindustani Music -- The Role of Statistics in Computational Musicology -- Introduction to Rubato: The Music Software for Statistical Analysis -- Modeling the Structure of Raga Bhimpalashree: A Statistical Approach -- Analysis of Lengths and Similarity of Melodies in Raga Bhimpalashree -- Raga Analysis Using Entropy -- Modeling Musical Performance Data with Statistics -- A Statistical Comparison of Bhairav (A Morning Raga) and Bihag (A Night Raga) -- Seminatural Composition -- Concluding Remarks. 000722689 506__ $$aAccess limited to authorized users. 000722689 520__ $$aThe book opens with a short introduction to Indian music, in particular classical Hindustani music, followed by a chapter on the role of statistics in computational musicology. The authors then show how to analyze musical structure using Rubato, the music software package for statistical analysis, in particular addressing modeling, melodic similarity and lengths, and entropy analysis; they then show how to analyze musical performance. Finally, they explain how the concept of seminatural composition can help a music composer to obtain the opening line of a raga-based song using Monte Carlo simulation. The book will be of interest to musicians and musicologists, particularly those engaged with Indian music. 000722689 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 18, 2015). 000722689 650_0 $$aHindustani music$$xAnalysis, appreciation$$xData processing. 000722689 650_0 $$aRaga$$xData processing. 000722689 650_0 $$aRaga$$xMathematical models. 000722689 650_0 $$aMusical analysis$$xStatistical methods. 000722689 7001_ $$aChakraborty, Soubhik,$$eauthor. 000722689 7001_ $$aMazzola, Guerino,$$eauthor. 000722689 7001_ $$aTewari, Swarima,$$eauthor. 000722689 7001_ $$aPatra, Moujhuri,$$eauthor. 000722689 77608 $$iPrint version:$$z9783319114712 000722689 830_0 $$aComputational music science. 000722689 852__ $$bebk 000722689 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-11472-9$$zOnline Access$$91397441.1 000722689 909CO $$ooai:library.usi.edu:722689$$pGLOBAL_SET 000722689 980__ $$aEBOOK 000722689 980__ $$aBIB 000722689 982__ $$aEbook 000722689 983__ $$aOnline 000722689 994__ $$a92$$bISE