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.