Computer assisted music and dramatics : possibilities and challenges / Ambuja Salgaonkar, Makarand Velankar, editors.
Salgaonkar, Ambuja, editor.; Velankar, Makarand, editor.
2023
ML74
Available Online

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Title
Computer assisted music and dramatics : possibilities and challenges / Ambuja Salgaonkar, Makarand Velankar, editors.
ISBN
9789819908875 (electronic bk.)
9819908876 (electronic bk.)
9819908868
9789819908868
DOI
https://doi.org/10.1007/978-981-99-0887-5
Published
Singapore : Springer, 2023.
Language
English
Description
1 online resource (294 pages) : illustrations (black and white, and color).
Item Number
10.1007/978-981-99-0887-5 doi
Call Number
ML74
Dewey Decimal Classification
780.285
Summary
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.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Salgaonkar, Ambuja, editor.
Velankar, Makarand, editor.
Series
Advances in intelligent systems and computing ; 1444.
Available in Other Form
COMPUTER ASSISTED MUSIC AND DRAMATICS.
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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 Khayl
Software Assisted Analysis of Music: An Approach to Understanding Rga-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.

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