no code implementations • 3 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.
no code implementations • 27 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
2 code implementations • 6 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.
3 code implementations • 15 Jul 2015 • Arun Nair, Praveen Srinivasan, Sam Blackwell, Cagdas Alcicek, Rory Fearon, Alessandro De Maria, Vedavyas Panneershelvam, Mustafa Suleyman, Charles Beattie, Stig Petersen, Shane Legg, Volodymyr Mnih, Koray Kavukcuoglu, David Silver
We present the first massively distributed architecture for deep reinforcement learning.
Ranked #17 on Atari Games on Atari 2600 Private Eye