activity
20172020
most citedCombining LSTM and Latent Topic Modeling for Mortality Prediction

25 citations · 25 across the 1 of their papers we have counts for

collaborators

5 papers

eess.AS2020

ASR Error Correction and Domain Adaptation Using Machine Translation

Anirudh Mani, Shruti Palaskar, Nimshi Venkat Meripo +2

Off-the-shelf pre-trained Automatic Speech Recognition (ASR) systems are an increasingly viable service for companies of any size building speech-based products. While these ASR sy…

cs.CL2019

Multimodal Abstractive Summarization for How2 Videos

Shruti Palaskar, Jindrich Libovický, Spandana Gella +1

In this paper, we study abstractive summarization for open-domain videos. Unlike the traditional text news summarization, the goal is less to "compress" text information but rather…

cs.CL2019

Learned In Speech Recognition: Contextual Acoustic Word Embeddings

Shruti Palaskar, Vikas Raunak, Florian Metze

End-to-end acoustic-to-word speech recognition models have recently gained popularity because they are easy to train, scale well to large amounts of training data, and do not requi…

cs.CL2018

How2: A Large-scale Dataset for Multimodal Language Understanding

Ramon Sanabria, Ozan Caglayan, Shruti Palaskar +4

In this paper, we introduce How2, a multimodal collection of instructional videos with English subtitles and crowdsourced Portuguese translations. We also present integrated sequen…

cs.CL201725 cited

Combining LSTM and Latent Topic Modeling for Mortality Prediction

Yohan Jo, Lisa Lee, Shruti Palaskar

There is a great need for technologies that can predict the mortality of patients in intensive care units with both high accuracy and accountability. We present joint end-to-end ne…