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010   $a981-10-3959-3
024 7 $a10.1007/978-981-10-3959-1
035   $a(CKB)3710000001116850
035   $a(DE-He213)978-981-10-3959-1
035   $a(MiAaPQ)EBC4822019
035   $a(PPN)199767416
035   $a(EXLCZ)993710000001116850
100   $a20170310d2017      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSignal Analysis of Hindustani Classical Music /$fby Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis
205   $a1st ed. 2017.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2017.
215   $a1 online resource (XIII, 250 p. 152 illus., 74 illus. in color.) 
225 1 $aSignals and Communication Technology,$x1860-4862
311   $a981-10-3958-5 
320   $aIncludes bibliographical references at the end of each chapters.
327   $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.
330   $aThis book presents a comprehensive overview of the basics of Hindustani music and the associated signal analysis and technological developments. It begins with an in-depth introduction to musical signal analysis and its current applications, and then moves on to a detailed discussion of the features involved in understanding the musical meaning of the signal in the context of Hindustani music. The components consist of tones, shruti, scales, pitch duration and stability, raga, gharana and musical instruments. The book covers the various technological developments in this field, supplemented with a number of case studies and their analysis. The book offers new music researchers essential insights into the use of the automatic concept for finding and testing the musical features for their applications. Intended primarily for postgraduate and PhD students working in the area of scientific research on Hindustani music, as well as other genres where the concepts are applicable, it is also a valuable resource for professionals and researchers in musical signal processing.
410  0$aSignals and Communication Technology,$x1860-4862
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aAcoustics
606   $aPattern perception
606   $aMusic
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aAcoustics$3https://scigraph.springernature.com/ontologies/product-market-codes/P21069
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
606   $aMusic$3https://scigraph.springernature.com/ontologies/product-market-codes/417000
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aAcoustics.
615  0$aPattern perception.
615  0$aMusic.
615 14$aSignal, Image and Speech Processing.
615 24$aAcoustics.
615 24$aPattern Recognition.
615 24$aMusic.
676   $a781.754
700   $aDatta$b Asoke Kumar$4aut$4http://id.loc.gov/vocabulary/relators/aut$0941416
702   $aSolanki$b Sandeep Singh$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aSengupta$b Ranjan$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aChakraborty$b Soubhik$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aMahto$b Kartik$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aPatranabis$b Anirban$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910254328803321
996   $aSignal Analysis of Hindustani Classical Music$92184110
997   $aUNINA