Statistical musicology : embracing Hindustani ragas /

Publication Type:



Nova Science Publishers, Inc.,, New York, United States, p.viii, 185 pages : (2022)

Call Number:



(OCoLC)fst00957200, (OCoLC)fst00957201, (OCoLC)fst01030698, (OCoLC)fst01088504, Analyse et appréciation., Analyse musicale, Analysis, appreciation., Data processing., fast, Hindustani music, Hindustani music., Histoire et critique., History and criticism., Informatique., Méthodes statistiques., Musical analysis, Musique hindoustani, Raga., Ragas, Rāga (Compositions musicales), Rāga (Forme musicale), Statistical methods.


Includes bibliographical references and index.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."The theory of musical structure is a rapidly developing field of musicology that has wide practical implications. Due to the complex nature of music, statistics is likely to play an important role. In the last few years, there has been an increasing interest in modeling musical performance. This development is in particular due to the dramatic advances in computer technology and the availability of digitized score and performance data, especially in Western Classical music where a clearly defined score exists. This book includes a similar but more challenging study in Indian Classical music where the scores are not fixed. In order to analyze performances in this genre, the book first develops musical scores based on studio recordings in this genre, which are performed extemporaneously. Then, the book computationally analyzes the structure and performance of the music. Structurally, it considers fundamental aspects such as aroh (ascent), awaroh (descent), and pakad (catch). In terms of performance, features like note duration and pitch movements between notes are considered. Statistics and probability are used to analyze the music"--