Signal Analysis of Hindustani Classical Music (Record no. 79836)

000 -LEADER
fixed length control field 04029nam a22006495i 4500
001 - CONTROL NUMBER
control field 978-981-10-3959-1
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801221605.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170310s2017 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789811039591
-- 978-981-10-3959-1
082 04 - CLASSIFICATION NUMBER
Call Number 621.382
100 1# - AUTHOR NAME
Author Datta, Asoke Kumar.
245 10 - TITLE STATEMENT
Title Signal Analysis of Hindustani Classical Music
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2017.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIII, 250 p. 152 illus., 74 illus. in color.
490 1# - SERIES STATEMENT
Series statement Signals and Communication Technology,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Solanki, Sandeep Singh.
700 1# - AUTHOR 2
Author 2 Sengupta, Ranjan.
700 1# - AUTHOR 2
Author 2 Chakraborty, Soubhik.
700 1# - AUTHOR 2
Author 2 Mahto, Kartik.
700 1# - AUTHOR 2
Author 2 Patranabis, Anirban.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-981-10-3959-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Singapore :
-- Springer Nature Singapore :
-- Imprint: Springer,
-- 2017.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Acoustics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Pattern recognition systems.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Music.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Speech and Image Processing .
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Acoustics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Automated Pattern Recognition.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Music.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1860-4870
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

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