Arun Asokan Nair — accepted AI-conference papers

2021

Cascaded Time + Time-Frequency Unet For Speech Enhancement: Jointly Addressing Clipping, Codec Distortions, And Gaps

ICASSP 2021accepted

Speech enhancement aims to improve speech quality by eliminating noise and distortions. While most speech enhancement methods address signal independent additive sources of noise, several degradations to speech signals are signal dependent and non-additive, like speech clipping, codec distortions, a…

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2018

A Deep Learning Based Alternative to Beamforming Ultrasound Images

Arun Asokan Nair, Trac D. Tran, Austin Reiter, Muyinatu A. Lediju Bell

ICASSP 2018accepted

Deep learning methods are capable of performing sophisticated tasks when applied to a myriad of artificial intelligent (AI) research fields. In this paper, we introduce a novel approach to replace the inherently flawed beamforming step during ultrasound image formation by applying deep learning dire…

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