no code implementations • 23 Feb 2023 • Zhepei Wang, Ritwik Giri, Devansh Shah, Jean-Marc Valin, Michael M. Goodwin, Paris Smaragdis
In this study, we present an approach to train a single speech enhancement network that can perform both personalized and non-personalized speech enhancement.
no code implementations • 28 Sep 2022 • Swapnil Parekh, Devansh Shah, Pratyush Shukla
Vision Transformers are increasingly embedded in industrial systems due to their superior performance, but their memory and power requirements make deploying them to edge devices a challenging task.
no code implementations • 1 Mar 2021 • Devansh Shah, Parijat Dube, Supriyo Chakraborty, Ashish Verma
We observe a significant drop in both natural and adversarial accuracies when AT is used in the federated setting as opposed to centralized training.