Computer Assisted Music and Dramatics: Possibilities and Challenges

Contents

• 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 Khayal.- Software Assisted Analysis of Music: An Approach to
• 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 Melod
• 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 T