Description

Book Synopsis
The authors of this book propose to computationally analyze both the structure and the performance of Hindustani classical music. Under the structure, they have taken up certain fundamental aspects like aroh (ascent), awaroh (descent), pakad (catch), etc. of the more common ragas. Under performance, other features like note duration, inter onset interval, and pitch movements between the notes have also been considered. Both statistics and probability are extensively used, including statistical modeling. The authors have also analyzed raga-based songs whose role in promoting Hindustani classical music among laymen cannot be denied. An open research problem of assessing the raga content in such songs is addressed as well. This book would be useful for musicians, musicologists, researchers in music history, aesthetics, statistical musicology, and advanced undergraduate and postgraduate students of music and musicology.

Table of Contents
Preface; Introduction; Fundamental Concepts of Music and Mathematical Techniques Used in the Book; Literature Survey; A Musical Performance Analysis; Structural Analysis of Hindustani Music; Raga Analysis Using Entropy; Similarity Analysis; Semi-Natural Composition; Multivariate Statistical Analysis; Discussion; Conclusion and Future Scope; References; Links; Appendices.

Statistical Musicology: Embracing Hindustani

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    A Paperback / softback by Swarima Tewari

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      View other formats and editions of Statistical Musicology: Embracing Hindustani by Swarima Tewari

      Publisher: Nova Science Publishers Inc
      Publication Date: 01/06/2022
      ISBN13: 9781685076832, 978-1685076832
      ISBN10: 1685076831

      Description

      Book Synopsis
      The authors of this book propose to computationally analyze both the structure and the performance of Hindustani classical music. Under the structure, they have taken up certain fundamental aspects like aroh (ascent), awaroh (descent), pakad (catch), etc. of the more common ragas. Under performance, other features like note duration, inter onset interval, and pitch movements between the notes have also been considered. Both statistics and probability are extensively used, including statistical modeling. The authors have also analyzed raga-based songs whose role in promoting Hindustani classical music among laymen cannot be denied. An open research problem of assessing the raga content in such songs is addressed as well. This book would be useful for musicians, musicologists, researchers in music history, aesthetics, statistical musicology, and advanced undergraduate and postgraduate students of music and musicology.

      Table of Contents
      Preface; Introduction; Fundamental Concepts of Music and Mathematical Techniques Used in the Book; Literature Survey; A Musical Performance Analysis; Structural Analysis of Hindustani Music; Raga Analysis Using Entropy; Similarity Analysis; Semi-Natural Composition; Multivariate Statistical Analysis; Discussion; Conclusion and Future Scope; References; Links; Appendices.

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