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Efficient MDI Adaptation for n-gram Language Models

Aug 05, 2020
Ruizhe Huang, Ke Li, Ashish Arora, Dan Povey, Sanjeev Khudanpur

* To appear in INTERSPEECH 2020. Appendix A of this full version will be filled soon 

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CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings

May 02, 2020
Shinji Watanabe, Michael Mandel, Jon Barker, Emmanuel Vincent, Ashish Arora, Xuankai Chang, Sanjeev Khudanpur, Vimal Manohar, Daniel Povey, Desh Raj, David Snyder, Aswin Shanmugam Subramanian, Jan Trmal, Bar Ben Yair, Christoph Boeddeker, Zhaoheng Ni, Yusuke Fujita, Shota Horiguchi, Naoyuki Kanda, Takuya Yoshioka, Neville Ryant


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FDFNet : A Secure Cancelable Deep Finger Dorsal Template Generation Network Secured via. Bio-Hashing

Dec 13, 2018
Avantika Singh, Ashish Arora, Shreya Hasmukh Patel, Gaurav Jaswal, Aditya Nigam

* Accepted in ISBA 2019: International Conference on Identity, Security and Behavior Analysis 

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Sparse Coding and Autoencoders

Oct 20, 2017
Akshay Rangamani, Anirbit Mukherjee, Amitabh Basu, Tejaswini Ganapathy, Ashish Arora, Sang Chin, Trac D. Tran

* In this new version of the paper with a small change in the distributional assumptions we are actually able to prove the asymptotic criticality of a neighbourhood of the ground truth dictionary for even just the standard squared loss of the ReLU autoencoder (unlike the regularized loss in the older version) 

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