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Signal analysis of Hindustani classi...

Datta, Asoke Kumar.

Signal analysis of Hindustani classical music

Record Type:	Electronic resources : Monograph/item
Title/Author:	Signal analysis of Hindustani classical musicby Asoke Kumar Datta ... [et al.].
other author:	Datta, Asoke Kumar.
Published:	Singapore :Springer Singapore :2017.
Description:	xiii, 250 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Hindustani musicData processing.
Online resource:	http://dx.doi.org/10.1007/978-981-10-3959-1
ISBN:	9789811039591$q(electronic bk.)

Signal analysis of Hindustani classical music
Signal analysis of Hindustani classical music[electronic resource] /by Asoke Kumar Datta ... [et al.]. - Singapore :Springer Singapore :2017. - xiii, 250 p. :ill. (some col.), digital ;24 cm. - Signals and communication technology,1860-4862. - Signals and communication technology..

Introduction -- Music Information Retrieval -- Scales and Shruti Concept -- Tonic Detection and Shruti Analysis from Raga Performance -- Pitch Transition and Stability -- Raga Identification -- Gharana identification -- Production, Perception and Cognition -- Musical Instruments -- Concluding Remarks.

This book presents a comprehensive overview of the basics of Hindustani music and the associated signal analysis and technological developments. It begins with an in-depth introduction to musical signal analysis and its current applications, and then moves on to a detailed discussion of the features involved in understanding the musical meaning of the signal in the context of Hindustani music. The components consist of tones, shruti, scales, pitch duration and stability, raga, gharana and musical instruments. The book covers the various technological developments in this field, supplemented with a number of case studies and their analysis. The book offers new music researchers essential insights into the use of the automatic concept for finding and testing the musical features for their applications. Intended primarily for postgraduate and PhD students working in the area of scientific research on Hindustani music, as well as other genres where the concepts are applicable, it is also a valuable resource for professionals and researchers in musical signal processing.

ISBN: 9789811039591$q(electronic bk.)

Standard No.: 10.1007/978-981-10-3959-1doiSubjects--Topical Terms:

775842
Hindustani music
--Data processing.

LC Class. No.: ML338

Dewey Class. No.: 780.9545

Signal analysis of Hindustani classical music
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245 0 0 $a Signal analysis of Hindustani classical music $h [electronic resource] / $c by Asoke Kumar Datta ... [et al.].
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300 $a xiii, 250 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Signals and communication technology, $x 1860-4862
505 0 $a Introduction -- Music Information Retrieval -- Scales and Shruti Concept -- Tonic Detection and Shruti Analysis from Raga Performance -- Pitch Transition and Stability -- Raga Identification -- Gharana identification -- Production, Perception and Cognition -- Musical Instruments -- Concluding Remarks.
520 $a This book presents a comprehensive overview of the basics of Hindustani music and the associated signal analysis and technological developments. It begins with an in-depth introduction to musical signal analysis and its current applications, and then moves on to a detailed discussion of the features involved in understanding the musical meaning of the signal in the context of Hindustani music. The components consist of tones, shruti, scales, pitch duration and stability, raga, gharana and musical instruments. The book covers the various technological developments in this field, supplemented with a number of case studies and their analysis. The book offers new music researchers essential insights into the use of the automatic concept for finding and testing the musical features for their applications. Intended primarily for postgraduate and PhD students working in the area of scientific research on Hindustani music, as well as other genres where the concepts are applicable, it is also a valuable resource for professionals and researchers in musical signal processing.
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650 2 4 $a Pattern Recognition. $3 273706
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700 1 $a Datta, Asoke Kumar. $3 775841
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830 0 $a Signals and communication technology. $3 557664
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