Signal Analysis of Hindustani Classical Music [electronic resource] / by Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis.
By: Datta, Asoke Kumar [author.].
Contributor(s): Solanki, Sandeep Singh [author.] | Sengupta, Ranjan [author.] | Chakraborty, Soubhik [author.] | Mahto, Kartik [author.] | Patranabis, Anirban [author.] | SpringerLink (Online service).
Material type: BookSeries: Signals and Communication Technology: Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XIII, 250 p. 152 illus., 74 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811039591.Subject(s): Signal processing | Acoustics | Pattern recognition systems | Music | Signal, Speech and Image Processing | Acoustics | Automated Pattern Recognition | MusicAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access onlineIntroduction -- 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.
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