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20212026
most citedSignal Representations for Synthesizing Audio Textures with Generative Adversarial Networks

4 citations · 8 across the 7 of their papers we have counts for

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2 papers · 1 filter

eess.AS2023★ 3 cited

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…

eess.AS2023

Towards Controllable Audio Texture Morphing

Chitralekha Gupta, Purnima Kamath, Yize Wei +3

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 class…