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This work aims to address the historical development of the great Indian raga tradition, enhanced by computational approaches, and to use computational strategies to analyze aspects of contemporary Hindustani classical music (HCM). It is divided into two parts with Part 1 focusing on the history and aesthetics of HCM and Part 2 covering its computational aspects. The historical development of HCM in the ancient, medieval and modern periods; its terms and genre; and its Khayal gharanas are covered in Part 1. The subtopics include essential concepts such as raga, tala, shruti, thaat, gharana, khayal, dhrupad, thumri, tappa, etc. Part 2 covers the state-of-the-art in computational musicology, r...
The book opens with a short introduction to Indian music, in particular classical Hindustani music, followed by a chapter on the role of statistics in computational musicology. The authors then show how to analyze musical structure using Rubato, the music software package for statistical analysis, in particular addressing modeling, melodic similarity and lengths, and entropy analysis; they then show how to analyze musical performance. Finally, they explain how the concept of seminatural composition can help a music composer to obtain the opening line of a raga-based song using Monte Carlo simulation. The book will be of interest to musicians and musicologists, particularly those engaged with Indian music.
This book presents the proceedings of the International Conference on Computational Intelligence 2018 (ICCI 2018). It brings together work by leading scientists, researchers and research scholars from around the globe on all aspects of computational intelligence. The work is mainly composed of the original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of computational intelligence. Specifically, the major topics covered include classical computational intelligence models and artificial intelligence, neural networks and deep learning, evolutionary swarm and particle algorithms, hybrid systems optimization, constraint programming, human–machine interaction, computational intelligence for web analytics, robotics, computational neurosciences, neurodynamics, bioinspired and biomorphic algorithms, cross-disciplinary topics and applications.
The book covers a wide range of topics in Computer Science and Information Technology including swarm intelligence, artificial intelligence, evolutionary algorithms, and bio-inspired algorithms. It is a collection of papers presented at the First International Conference on Intelligent Computing and Communication (ICIC2) 2016. The prime areas of the conference are Intelligent Computing, Intelligent Communication, Bio-informatics, Geo-informatics, Algorithm, Graphics and Image Processing, Graph Labeling, Web Security, Privacy and e-Commerce, Computational Geometry, Service Orient Architecture, and Data Engineering.
"मैं 43 साल पोस्टग्रेजुएट कालेज में प्रोफ़ेसर एवं प्रिंसिपल रहने के बाद 65 साल की उम्र में जनवरी 2015 को अपने कार्यस्थल से सेवानिवृत्त हुआ। बहुत प्रसन्नता की बात है कि 50 साल व्यतीत हो जाने के बाद भी 1972 से आजतक के बहुत से छात्र - छात्राएं अभी भी मेरे सम्पर्क में हैं। एक दिन मेरे ...
In The Politics of Vibration Marcus Boon explores music as a material practice of vibration. Focusing on the work of three contemporary musicians—Hindustani classical vocalist Pandit Pran Nath, Swedish drone composer and philosopher Catherine Christer Hennix, and Houston-based hip-hop musician DJ Screw—Boon outlines how music constructs a vibrational space of individual and collective transformation. Contributing to a new interdisciplinary field of vibration studies, he understands vibration as a mathematical and a physical concept, as a religious or ontological force, and as a psychological determinant of subjectivity. Boon contends that music, as a shaping of vibration, needs to be recognized as a cosmopolitical practice—in the sense introduced by Isabelle Stengers—in which what music is within a society depends on what kinds of access to vibration are permitted, and to whom. This politics of vibration constitutes the hidden ontology of contemporary music because the organization of vibration shapes individual music scenes as well as the ethical choices that participants in these scenes make about how they want to live in the world.
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.
With contributions by numerous experts
The book covers a wide range of topics in Computer Science and Information Technology including swarm intelligence, artificial intelligence, evolutionary algorithms, and bio-inspired algorithms. It is a collection of papers presented at the First International Conference on Intelligent Computing and Communication (ICIC2) 2016. The prime areas of the conference are Intelligent Computing, Intelligent Communication, Bio-informatics, Geo-informatics, Algorithm, Graphics and Image Processing, Graph Labeling, Web Security, Privacy and e-Commerce, Computational Geometry, Service Orient Architecture, and Data Engineering.
Traditionally, statistics and music are not generally associated with each other. However, ...intelligent... music software, computer digitization, and other advanced techniques and technologies have precipitated the need for standard statistical models to answer basic musicological questions. Statistics In Musicology presents an unprecedented introduction to statistical and mathematical methods developed for use in music analysis, music theory, and performance theory. It explores concrete methods for data generation and numerical encoding of musical data and serves as a practical reference for a wide audience, including statisticians, mathematicians, musicologists, and musicians.