collaborators

5 papers

cs.SD2026

JazzSAMBA: A Synchronous and Asynchronous Multi-take Band Audio Dataset of Jazz Standards for Live Music Models

Phillip Long, Jacob Nguyen, Jace Hosto +9

Machine learning has made strong progress on music tasks, both as assistive tools and as creative partners. However, most systems train on multitrack corpora that emphasize pop and…

cs.SD2026

The Moving Drone: Negotiating Agency Between the Voice and the Virtual

Nithya Shikarpur, Victor Arul, Anna Huang

Melodic material in Hindustani music is presented in relation to a tonic, usually sustained by the tanpura, a four-stringed drone instrument. Rooted in Hindustani music, 'The Movin…

cs.SD2026

Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators

Zachary Novack, Stephen Brade, Haven Kim +8

Interactive streaming music generation promises the use of generative models for live performance and co-creation that is impossible with offline models. However, SOTA models exist…

cs.HC2024

Exploratory Study Of Human-AI Interaction For Hindustani Music

Nithya Shikarpur, Cheng-Zhi Anna Huang

This paper presents a study of participants interacting with and using GaMaDHaNi, a novel hierarchical generative model for Hindustani vocal contours. To explore possible use cases…

cs.SD2024

Hierarchical Generative Modeling of Melodic Vocal Contours in Hindustani Classical Music

Nithya Shikarpur, Krishna Maneesha Dendukuri, Yusong Wu +2

Hindustani music is a performance-driven oral tradition that exhibits the rendition of rich melodic patterns. In this paper, we focus on generative modeling of singers' vocal melod…