Search Results for author: Arun Nair

Found 4 papers, 2 papers with code

SPADE: Self-supervised Pretraining for Acoustic DisEntanglement

no code implementations3 Feb 2023 John Harvill, Jarred Barber, Arun Nair, Ramin Pishehvar

Self-supervised representation learning approaches have grown in popularity due to the ability to train models on large amounts of unlabeled data and have demonstrated success in diverse fields such as natural language processing, computer vision, and speech.


Challenges and Opportunities in Multi-device Speech Processing

no code implementations27 Jun 2022 Gregory Ciccarelli, Jarred Barber, Arun Nair, Israel Cohen, Tao Zhang

We review current solutions and technical challenges for automatic speech recognition, keyword spotting, device arbitration, speech enhancement, and source localization in multidevice home environments to provide context for the INTERSPEECH 2022 special session, "Challenges and opportunities for signal processing and machine learning for multiple smart devices".

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Interspeech 2021 Deep Noise Suppression Challenge

2 code implementations6 Jan 2021 Chandan K A Reddy, Harishchandra Dubey, Kazuhito Koishida, Arun Nair, Vishak Gopal, Ross Cutler, Sebastian Braun, Hannes Gamper, Robert Aichner, Sriram Srinivasan

In this version of the challenge organized at INTERSPEECH 2021, we are expanding both our training and test datasets to accommodate full band scenarios.


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