341 citations · 381 across the 8 of their papers we have counts for
10 papers
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation
Prashant Krishnan, Zilong Wang, Yangkun Wang +1
Recent advances of incorporating layout information, typically bounding box coordinates, into pre-trained language models have achieved significant performance in entity recognitio…
Towards sound based testing of COVID-19 -- Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge
Neeraj Kumar Sharma, Ananya Muguli, Prashant Krishnan +3
The technology development for point-of-care tests (POCTs) targeting respiratory diseases has witnessed a growing demand in the recent past. Investigating the presence of acoustic…
Multi-modal Point-of-Care Diagnostics for COVID-19 Based On Acoustics and Symptoms
Srikanth Raj Chetupalli, Prashant Krishnan, Neeraj Sharma +6
The research direction of identifying acoustic bio-markers of respiratory diseases has received renewed interest following the onset of COVID-19 pandemic. In this paper, we design…
DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics
Ananya Muguli, Lancelot Pinto, Nirmala R. +9
The DiCOVA challenge aims at accelerating research in diagnosing COVID-19 using acoustics (DiCOVA), a topic at the intersection of speech and audio processing, respiratory health d…
Neural PLDA Modeling for End-to-End Speaker Verification
Shreyas Ramoji, Prashant Krishnan, Sriram Ganapathy
While deep learning models have made significant advances in supervised classification problems, the application of these models for out-of-set verification tasks like speaker reco…
NISP: A Multi-lingual Multi-accent Dataset for Speaker Profiling
Shareef Babu Kalluri, Deepu Vijayasenan, Sriram Ganapathy +2
Many commercial and forensic applications of speech demand the extraction of information about the speaker characteristics, which falls into the broad category of speaker profiling…