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20222025
most citedEd-Fed: A generic federated learning framework with resource-aware client selection for edge devices

6 citations · 12 across the 7 of their papers we have counts for

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2 papers · 1 filter

eess.AS2024

SeMaScore : a new evaluation metric for automatic speech recognition tasks

Zitha Sasindran, Harsha Yelchuri, T. V. Prabhakar

In this study, we present SeMaScore, generated using a segment-wise mapping and scoring algorithm that serves as an evaluation metric for automatic speech recognition tasks. SeMaSc…

eess.AS2023

MobileASR: A resource-aware on-device learning framework for user voice personalization applications on mobile phones

Zitha Sasindran, Harsha Yelchuri, Pooja Rao +1

We describe a comprehensive methodology for developing user-voice personalized automatic speech recognition (ASR) models by effectively training models on mobile phones, allowing u…