Exploratory Study Of Human-AI Interaction For Hindustani Music

This paper presents a study of participants interacting with and using GaMaDHaNi, a novel hierarchical generative model for Hindustani vocal contours. As one of the first models capable of generating continuous melodic contours inherent to the Hindustani music idiom, we aim to study the expectations, reactions, and preferences of practicing musicians while interacting with the model. Through a user study of three participants, we note their challenges as (1) the lack of restrictions in model output, and (2) the incoherence of model output. We situate these challenges in the context of Hindustani music and aim to suggest future directions for the model design to address these gaps.