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024 7 _a10.1007/978-981-10-3959-1
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082 0 4 _a621.382
_223
100 1 _aDatta, Asoke Kumar.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_956900
245 1 0 _aSignal Analysis of Hindustani Classical Music
_h[electronic resource] /
_cby Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis.
250 _a1st ed. 2017.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2017.
300 _aXIII, 250 p. 152 illus., 74 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSignals and Communication Technology,
_x1860-4870
505 0 _aIntroduction -- 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 _aThis 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.
650 0 _aSignal processing.
_94052
650 0 _aAcoustics.
_919841
650 0 _aPattern recognition systems.
_93953
650 0 _aMusic.
_933537
650 1 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aAcoustics.
_919841
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aMusic.
_933537
700 1 _aSolanki, Sandeep Singh.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_956901
700 1 _aSengupta, Ranjan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_956902
700 1 _aChakraborty, Soubhik.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_956903
700 1 _aMahto, Kartik.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_956904
700 1 _aPatranabis, Anirban.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_956905
710 2 _aSpringerLink (Online service)
_956906
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811039584
776 0 8 _iPrinted edition:
_z9789811039607
776 0 8 _iPrinted edition:
_z9789811350108
830 0 _aSignals and Communication Technology,
_x1860-4870
_956907
856 4 0 _uhttps://doi.org/10.1007/978-981-10-3959-1
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79836
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