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eess.AS2026
Sensitivity Analysis of Generative Spatial Audio Metrics: A Study on Responsiveness, Smoothness, and Symmetry
Purnima Kamath, Adrian S. Roman, Koichi Saito +2
Evaluating generative spatial audio for First-Order Ambisonics (FOA) remains challenging due to a limited understanding of how metrics respond to changes in spatial parameters such…
eess.AS2024
MorphFader: Enabling Fine-grained Controllable Morphing with Text-to-Audio Models
Purnima Kamath, Chitralekha Gupta, Suranga Nanayakkara
Sound morphing is the process of gradually and smoothly transforming one sound into another to generate novel and perceptually hybrid sounds that simultaneously resemble both. Rece…
eess.AS2023
Example-Based Framework for Perceptually Guided Audio Texture Generation
Purnima Kamath, Chitralekha Gupta, Lonce Wyse +1
Controllable generation using StyleGANs is usually achieved by training the model using labeled data. For audio textures, however, there is currently a lack of large semantically l…