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Record Nr. |
UNINA9910298994203321 |
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Autore |
Chakraborty Soubhik |
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Titolo |
Computational Musicology in Hindustani Music / / by Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (116 p.) |
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Collana |
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Computational Music Science, , 1868-0305 |
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Disciplina |
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Soggetti |
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Application software |
Music |
Mathematics |
Computer science—Mathematics |
Statistics |
Computer Appl. in Arts and Humanities |
Mathematics in Music |
Mathematics of Computing |
Statistics and Computing/Statistics Programs |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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An 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. |
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Sommario/riassunto |
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The 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 |
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