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Computational musicology in Hindustani music [electronic resource]

Computational musicology in Hindustani music [electronic resource]

Material type
E-Book(소장)
Personal Author
Chakraborty, Soubhik.
Title Statement
Computational musicology in Hindustani music [electronic resource] / Soubhik Chakraborty ... [et al.].
Publication, Distribution, etc
Cham :   Springer International Publishing :   Imprint: Springer,   2014.  
Physical Medium
1 online resource (xi, 107 p.) : col. ill.
Series Statement
Computational music science,1868-0305
ISBN
9783319114729
요약
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 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.
General Note
Title from e-Book title page.  
Content Notes
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.
Bibliography, Etc. Note
Includes bibliographical references.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Hindustani music --Analysis, appreciation --Data processing. Raga --Data processing. Raga --Mathematical models. Musical analysis|xStatistical methods.
Short cut
URL
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020 ▼a 9783319114729
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050 4 ▼a NX260
082 0 4 ▼a 781.2/64 ▼2 23
084 ▼a 781.264 ▼2 DDCK
090 ▼a 781.264
245 0 0 ▼a Computational musicology in Hindustani music ▼h [electronic resource] / ▼c Soubhik Chakraborty ... [et al.].
260 ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c 2014.
300 ▼a 1 online resource (xi, 107 p.) : ▼b col. ill.
490 1 ▼a Computational music science, ▼x 1868-0305
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references.
505 0 ▼a 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.
520 ▼a 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 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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Hindustani music ▼x Analysis, appreciation ▼x Data processing.
650 0 ▼a Raga ▼x Data processing.
650 0 ▼a Raga ▼x Mathematical models.
650 0 ▼a Musical analysis|xStatistical methods.
700 1 ▼a Chakraborty, Soubhik.
830 0 ▼a Computational music science.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-11472-9
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 781.264 Accession No. E14032672 Availability Loan can not(reference room) Due Date Make a Reservation Service M

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