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Computer assisted music and dramatic...

Salgaonkar, Ambuja.

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Computer assisted music and dramatics = possibilities and challenges /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computer assisted music and dramatics/ edited by Ambuja Salgaonkar, Makarand Velankar.
Reminder of title:	possibilities and challenges /
other author:	Salgaonkar, Ambuja.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xvi, 239 p. :ill., digital ;24 cm.
[NT 15003449]:	Part I: Computer Assisted Musicology -- Bridging the Gap between Musicological Knowledge and Performance Practice with Audio MIR -- Spectral Analysis of Voice Training Practices in the Hindustani Khayāl -- Software Assisted Analysis of Music: An Approach to Understanding Rāga-s -- Part II: Machine Learning Approaches to Music -- Music Feature Extraction for Machine Learning -- Role of Prosody in Music Meaning -- Estimation of Prosody in Music: A case study of Geet Ramayana -- Raga Recognition Using Neural Networks and N-grams of Melodies -- Developing a musicality scale for Haiku-likes -- Part III: Composition and Choreography -- Composing Music by Machine using Particle Swarm Optimization -- Computable Aesthetics for Dance -- Design and Implementation of a Computational Model for BharataNatyam Choreography -- Part IV: Interfacing the Traditional with the Modern -- Automatic Mapping of BharatNatyam Margam to Sri Chakra Dance -- Computation of 22 Shrutis: A Fibonacci Sequence-Based Approach -- Signal Processing In Music Production: The Death Of High Fidelity And The Art Of Spoilage -- Computational Indian Musicology: Challenges and New Horizons.
Contained By:	Springer Nature eBook
Subject:	Music - Congresses. - Data processing -
Online resource:	https://doi.org/10.1007/978-981-99-0887-5
ISBN:	9789819908875

Computer assisted music and dramatics = possibilities and challenges /
Computer assisted music and dramaticspossibilities and challenges /[electronic resource] :edited by Ambuja Salgaonkar, Makarand Velankar. - Singapore :Springer Nature Singapore :2023. - xvi, 239 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v. 14442194-5365 ;. - Advances in intelligent systems and computing ;v. 1444..

Part I: Computer Assisted Musicology -- Bridging the Gap between Musicological Knowledge and Performance Practice with Audio MIR -- Spectral Analysis of Voice Training Practices in the Hindustani Khayāl -- Software Assisted Analysis of Music: An Approach to Understanding Rāga-s -- Part II: Machine Learning Approaches to Music -- Music Feature Extraction for Machine Learning -- Role of Prosody in Music Meaning -- Estimation of Prosody in Music: A case study of Geet Ramayana -- Raga Recognition Using Neural Networks and N-grams of Melodies -- Developing a musicality scale for Haiku-likes -- Part III: Composition and Choreography -- Composing Music by Machine using Particle Swarm Optimization -- Computable Aesthetics for Dance -- Design and Implementation of a Computational Model for BharataNatyam Choreography -- Part IV: Interfacing the Traditional with the Modern -- Automatic Mapping of BharatNatyam Margam to Sri Chakra Dance -- Computation of 22 Shrutis: A Fibonacci Sequence-Based Approach -- Signal Processing In Music Production: The Death Of High Fidelity And The Art Of Spoilage -- Computational Indian Musicology: Challenges and New Horizons.

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.

ISBN: 9789819908875

Standard No.: 10.1007/978-981-99-0887-5doiSubjects--Topical Terms:

1084552
Music
--Data processing--Congresses.

LC Class. No.: ML74

Dewey Class. No.: 780.285

Computer assisted music and dramatics = possibilities and challenges /
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