LEADER 04327nam 22008055 450 001 9910298994203321 005 20200701164729.0 010 $a3-319-11472-7 024 7 $a10.1007/978-3-319-11472-9 035 $a(CKB)3710000000306135 035 $a(EBL)1968474 035 $a(OCoLC)897376983 035 $a(SSID)ssj0001386052 035 $a(PQKBManifestationID)11814627 035 $a(PQKBTitleCode)TC0001386052 035 $a(PQKBWorkID)11351794 035 $a(PQKB)10417754 035 $a(MiAaPQ)EBC1968474 035 $a(DE-He213)978-3-319-11472-9 035 $a(PPN)183097793 035 $a(EXLCZ)993710000000306135 100 $a20141127d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aComputational Musicology in Hindustani Music /$fby Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (116 p.) 225 1 $aComputational Music Science,$x1868-0305 300 $aDescription based upon print version of record. 311 $a3-319-11471-9 320 $aIncludes bibliographical references at the end of each chapters. 327 $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. 330 $aThe book opens with a short introduction to Indian music, in particular classical Hindustani music, followed by a chapter on the role of statistics in computational musicology. The authors then show how to analyze musical structure using Rubato, the music software package for statistical analysis, in particular addressing modeling, melodic similarity and lengths, and entropy analysis; they then show how to analyze musical performance. Finally, they explain how the concept of seminatural composition can help a music composer to obtain the opening line of a raga-based song using Monte Carlo simulation. The book will be of interest to musicians and musicologists, particularly those engaged with Indian music. 410 0$aComputational Music Science,$x1868-0305 606 $aApplication software 606 $aMusic 606 $aMathematics 606 $aComputer science?Mathematics 606 $aStatistics 606 $aComputer Appl. in Arts and Humanities$3https://scigraph.springernature.com/ontologies/product-market-codes/I23036 606 $aMusic$3https://scigraph.springernature.com/ontologies/product-market-codes/417000 606 $aMathematics in Music$3https://scigraph.springernature.com/ontologies/product-market-codes/M33000 606 $aMathematics of Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I17001 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 615 0$aApplication software. 615 0$aMusic. 615 0$aMathematics. 615 0$aComputer science?Mathematics. 615 0$aStatistics. 615 14$aComputer Appl. in Arts and Humanities. 615 24$aMusic. 615 24$aMathematics in Music. 615 24$aMathematics of Computing. 615 24$aStatistics and Computing/Statistics Programs. 676 $a781.754 700 $aChakraborty$b Soubhik$4aut$4http://id.loc.gov/vocabulary/relators/aut$0904556 702 $aMazzola$b Guerino$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aTewari$b Swarima$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aPatra$b Moujhuri$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910298994203321 996 $aComputational Musicology in Hindustani Music$92022609 997 $aUNINA