Arun Nair

Arun Asokan Nair is a 2020 research intern in Microsoft’s Applied Sciences Group (ASG).  His research interests lie in machine learning for signal processing, abnd specifically beam forming and compressed sensing, in audio, vision, and ultrasound imaging.  He received the Best Paper award at the Association for Computing Machinery (ACM) International Conference on Multimedia, 2019.

Arun is pursuing his Ph.D. in electrical and computer engineering at Johns Hopkins University, Baltimore, having previously received B.Tech. and M.Tech. degrees in electrical engineering from the Indian Institute of Technology in Madras, India, in 2015.

He enjoys reading, playing video games, and cooking (and eating!) in his spare time.

• Cascaded Time + Time-Frequency Unet for Speech Enhancement: Jointly Addressing Clipping, Codec Distortions, and Gaps

  Proceedings, ICASSP 2021 June, 2021 Pages 7153-7157

  By Arun Nair, Kazuhito Koishida
• INTERSPEECH 2021 Deep Noise Suppression Challenge

  Proceedings, Interspeech 2021 August, 2021 Pages 2796-2800

  By Chandan K A Reddy, Harishchandra Dubey, Kazuhito Koishida, Arun Nair, Vishak Gopal, Ross Cutler, Sebastian Braun, Hannes Gamper, Robert Aichner, Sriram Srinivasan