Computational Musicology In Hindustani Music

Author : Soubhik Chakraborty
Publisher : Springer
ISBN 13 : 3319114727
Total Pages : 116 pages
Book Rating : 4.29/5 ( download)

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Download or read book Computational Musicology in Hindustani Music written by Soubhik Chakraborty and published by Springer. This book was released on 2014-11-27 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Soubhik Chakraborty
Publisher : Sanctum Books
ISBN 13 : 8194783003
Total Pages : 141 pages
Book Rating : 4.08/5 ( download)

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Download or read book Hindustani Classical Music written by Soubhik Chakraborty and published by Sanctum Books. This book was released on 2021-12-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, raga analysis and song analysis using statistics. The subtopics include statistical modeling, inter onset interval, note duration analysis, pitch movement between the notes, rate of change of pitch (pitch velocity) and probabilistic analysis of musical notes. The author concludes the work with reflecting on the lives of a few renowned musicians and musicologists with an account of hilarious moments taken from their lives to excite the reader to know more about HCM. This book would be useful for musicians, musicologists, researchers in music history, aesthetics, computational musicology, and advanced undergraduate and postgraduate students of music and musicology.

Author : Ambuja Salgaonkar
Publisher : Springer Nature
ISBN 13 : 9819908876
Total Pages : 243 pages
Book Rating : 4.75/5 ( download)

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Download or read book Computer Assisted Music and Dramatics written by Ambuja Salgaonkar and published by Springer Nature. This book was released on 2023-06-24 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for researchers interested in using computational methods and tools to engage with music, dance and theatre. The chapters have evolved out of presentations and deliberations at an international workshop entitled Computer Assisted Music and Dramatics: Possibilities and Challenges organized by University of Mumbai in honour of Professor Hari Sahasrabuddhe, a renowned educator and a pioneering computational musicologist (CM) of Indian classical music. The workshop included contributions from CM as well as musicians with a special focus on South Asian arts. The case studies and reflective essays here are based on analyses of genres, practices and theoretical constructs modelled computationally. They offer a balanced and complementary perspective to help innovation in the synthesis of music by extracting information from recorded performances. This material would be of interest to scholars of the sciences and humanities and facilitate exchanges and generation of ideas.

Author : M. Sai Chaitanya
Publisher : GRIN Verlag
ISBN 13 : 3346455246
Total Pages : 40 pages
Book Rating : 4.46/5 ( download)

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Download or read book Musical information retrieval. Signal Analysis and Feature Extraction using Python written by M. Sai Chaitanya and published by GRIN Verlag. This book was released on 2021-08-02 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Paper (postgraduate) from the year 2021 in the subject Musicology - Miscellaneous, grade: 8.0, , course: IMSc Mathematics and Computing, language: English, abstract: This work gives a comprehensive overview of research on the multidisciplinary field of Music Information Retrieval (MIR). MIR uses knowledge from areas as diverse as signal processing, machine learning, information and music theory. The Main Feature of this work is to explore how this knowledge can be used for the development of novel methodologies for browsing and retrieval on large music collections, a hot topic given recent advances in online music distribution and searching. Emphasis would be given to audio signal processing techniques. Music information retrieval (MIR) is the interdisciplinary science of retrieving information from music. MIR is a small but growing field of research with many realworld applications. Those involved in MIR may have a background in musicology, sychoacoustics, psychology, academic music study, signal processing, informatics, machine learning, optical music recognition, computational intelligence or some combination of these. MIR is being used by businesses and academics to categorize, manipulate and even create music. One of the classical MIR research topics is genre classification, which is categorizing music items into one of pre-defined genres such as classical, jazz, rock, etc. Mood classification, artist classification, and music tagging are also popular topics.

Author : Preeti Rao
Publisher : Sriranga Digital Software Technologies Pvt. Ltd.
ISBN 13 : 9391408095
Total Pages : 433 pages
Book Rating : 4.91/5 ( download)

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Download or read book Indian Art Music: A Computational Perspective written by Preeti Rao and published by Sriranga Digital Software Technologies Pvt. Ltd.. This book was released on 2023-02-05 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents a diverse collection of articles on Indian Art Music based on analytical work aided by computational tools. The book focuses mainly on the current practices in music and its representation in audio recordings, a perspective that is particularly relevant to oral traditions. It presents a rare and unique example of collaboration between musicians, musicologists, scientists, and engineers. The presentation brings together various aspects of research on Indian art music that benefits from audio processing or computing, ranging from musicology to information retrieval to instrument modeling. It is hoped that the monograph will serve as an accessible introduction to computational approaches for Indian art music in particular, and ethnomusicology more generally.

Author : Asoke Kumar Datta
Publisher : Springer
ISBN 13 : 9811039593
Total Pages : 250 pages
Book Rating : 4.91/5 ( download)

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Download or read book Signal Analysis of Hindustani Classical Music written by Asoke Kumar Datta and published by Springer. This book was released on 2017-03-10 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 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.

Author : Xiao-Zhi Gao
Publisher : Springer Nature
ISBN 13 : 9811512752
Total Pages : 558 pages
Book Rating : 4.59/5 ( download)

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Download or read book Advances in Computational Intelligence and Communication Technology written by Xiao-Zhi Gao and published by Springer Nature. This book was released on 2020-06-18 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features high-quality papers presented at the International Conference on Computational Intelligence and Communication Technology (CICT 2019) organized by ABES Engineering College, Ghaziabad, India, and held from February 22 to 23, 2019. It includes the latest advances and research findings in fields of computational science and communication such as communication & networking, web & informatics, hardware and software designs, distributed & parallel processing, advanced software engineering, advanced database management systems and bioinformatics. As such, it is of interest to research scholars, students, and engineers around the globe.

Author : Swarima Tewari
Publisher :
ISBN 13 : 9781685077716
Total Pages : pages
Book Rating : 4.14/5 ( download)

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Download or read book Statistical Musicology written by Swarima Tewari and published by . This book was released on 2022 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "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"--

Author : Keiji Hirata
Publisher : Springer
ISBN 13 : 9789811951657
Total Pages : 0 pages
Book Rating : 4.59/5 ( download)

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Download or read book Music, Mathematics and Language written by Keiji Hirata and published by Springer. This book was released on 2022-12-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a new approach to computational musicology in which music becomes a computational entity based on human cognition, allowing us to calculate music like numbers. Does music have semantics? Can the meaning of music be revealed using symbols and described using language? The authors seek to answer these questions in order to reveal the essence of music. Chapter 1 addresses a very fundamental point, the meaning of music, while referring to semiotics, gestalt, Schenkerian analysis and cognitive reality. Chapter 2 considers why the 12-tone equal temperament came to be prevalent. This chapter serves as an introduction to the mathematical definition of harmony, which concerns the ratios of frequency in tonic waves. Chapter 3, “Music and Language,” explains the fundamentals of grammar theory and the compositionality principle, which states that the semantics of a sentence can be composed in parallel to its syntactic structure. In turn, Chapter 4 explains the most prevalent score notation – the Berklee method, which originated at the Berklee School of Music in Boston – from a different point of view, namely, symbolic computation based on music theory. Chapters 5 and 6 introduce readers to two important theories, the implication-realization model and generative theory of tonal music (GTTM), and explain the essence of these theories, also from a computational standpoint. The authors seek to reinterpret these theories, aiming at their formalization and implementation on a computer. Chapter 7 presents the outcomes of this attempt, describing the framework that the authors have developed, in which music is formalized and becomes computable. Chapters 8 and 9 are devoted to GTTM analyzers and the applications of GTTM. Lastly, Chapter 10 discusses the future of music in connection with computation and artificial intelligence. This book is intended both for general readers who are interested in music, and scientists whose research focuses on music information processing. In order to make the content as accessible as possible, each chapter is self-contained.

Author : Mukesh Saraswat
Publisher : Springer Nature
ISBN 13 : 9811694168
Total Pages : 933 pages
Book Rating : 4.65/5 ( download)

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Download or read book Congress on Intelligent Systems written by Mukesh Saraswat and published by Springer Nature. This book was released on 2022-07-01 with total page 933 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of selected papers presented at the Second Congress on Intelligent Systems (CIS 2021), organized by Soft Computing Research Society and CHRIST (Deemed to be University), Bengaluru, India, during September 4 – 5, 2021. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as Internet of things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human–computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.