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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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