Towards Controllable Audio Texture Morphing

no code implementations • 23 Apr 2023 • Chitralekha Gupta, Purnima Kamath, Yize Wei, Zhuoyao Li, Suranga Nanayakkara, Lonce Wyse

In this paper, we propose a data-driven approach to train a Generative Adversarial Network (GAN) conditioned on "soft-labels" distilled from the penultimate layer of an audio classifier trained on a target set of audio texture classes.

Generative Adversarial Network

Parameter Sensitivity of Deep-Feature based Evaluation Metrics for Audio Textures

no code implementations • 23 Aug 2022 • Chitralekha Gupta, Yize Wei, Zequn Gong, Purnima Kamath, Zhuoyao Li, Lonce Wyse

These metrics use deep features that summarize the statistics of any given audio texture, thus being inherently sensitive to variations in the statistical parameters that define an audio texture.

Texture Synthesis