Aman Kansal — accepted AI-conference papers

2023

Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine

Emma Chen, Aman Kansal, Julie Chen, Boyang Tom Jin, Julia Rachel Reisler, David A Kim +1

NeurIPS 2023poster

We propose the Multimodal Clinical Benchmark for Emergency Care (MC-BEC), a comprehensive benchmark for evaluating foundation models in Emergency Medicine using a dataset of 100K+ continuously monitored Emergency Department visits from 2020-2022. MC-BEC focuses on clinically relevant prediction task…

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2021

Error-Driven Fixed-Budget ASR Personalization for Accented Speakers

Abhijeet Awasthi, Aman Kansal, Sunita Sarawagi, Preethi Jyothi

ICASSP 2021accepted

We consider the task of personalizing ASR models while being constrained by a fixed budget on recording speaker specific utterances. Given a speaker and an ASR model, we propose a method of identifying sentences for which the speaker’s utterances are likely to be harder for the given ASR model to re…

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