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|a 9789811039591
|9 978-981-10-3959-1
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|a 10.1007/978-981-10-3959-1
|2 doi
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|a 621.382
|2 23
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|a Datta, Asoke Kumar.
|e author.
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|a Signal Analysis of Hindustani Classical Music
|h [electronic resource] /
|c by Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis.
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| 264 |
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|a Singapore :
|b Springer Singapore :
|b Imprint: Springer,
|c 2017.
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| 300 |
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|a XIII, 250 p. 152 illus., 74 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
1 |
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|a Signals and Communication Technology,
|x 1860-4862
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| 505 |
0 |
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|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.
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| 520 |
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|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 |
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|a Engineering.
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| 650 |
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|a Music.
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| 650 |
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|a Pattern recognition.
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| 650 |
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|a Acoustics.
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| 650 |
1 |
4 |
|a Engineering.
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| 650 |
2 |
4 |
|a Signal, Image and Speech Processing.
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| 650 |
2 |
4 |
|a Acoustics.
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| 650 |
2 |
4 |
|a Pattern Recognition.
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| 650 |
2 |
4 |
|a Music.
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| 700 |
1 |
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|a Solanki, Sandeep Singh.
|e author.
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| 700 |
1 |
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|a Sengupta, Ranjan.
|e author.
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| 700 |
1 |
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|a Chakraborty, Soubhik.
|e author.
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| 700 |
1 |
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|a Mahto, Kartik.
|e author.
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| 700 |
1 |
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|a Patranabis, Anirban.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
0 |
8 |
|i Printed edition:
|z 9789811039584
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| 830 |
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|a Signals and Communication Technology,
|x 1860-4862
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-981-10-3959-1
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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