Anuroop Sriram
Anuroop Sriram
Facebook Artificial Intelligence Research
Verified email at alumni.cmu.edu
Title
Cited by
Cited by
Year
Deep speech 2: End-to-end speech recognition in english and mandarin
D Amodei, S Ananthanarayanan, R Anubhai, J Bai, E Battenberg, C Case, ...
International conference on machine learning, 173-182, 2016
13962016
FRED (A Framework for Reconstructing Epidemic Dynamics): an open-source software system for modeling infectious diseases and control strategies using census-based populations
JJ Grefenstette, ST Brown, R Rosenfeld, J DePasse, NTB Stone, ...
BMC public health 13 (1), 940, 2013
1132013
Exploring neural transducers for end-to-end speech recognition
E Battenberg, J Chen, R Child, A Coates, YGY Li, H Liu, S Satheesh, ...
2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017
812017
Cold fusion: Training seq2seq models together with language models
A Sriram, H Jun, S Satheesh, A Coates
arXiv preprint arXiv:1708.06426, 2017
762017
fastMRI: An open dataset and benchmarks for accelerated MRI
J Zbontar, F Knoll, A Sriram, MJ Muckley, M Bruno, A Defazio, M Parente, ...
arXiv preprint arXiv:1811.08839, 2018
602018
Robust speech recognition using generative adversarial networks
A Sriram, H Jun, Y Gaur, S Satheesh
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
272018
Rewon Child, Adam Coates, Yashesh Gaur Yi Li, Hairong Liu, Sanjeev Satheesh, Anuroop Sriram, and Zhenyao Zhu,“Exploring neural transducers for end-to-end speech recognition,”
E Battenberg, J Chen
Automatic Speech Recognition and Understanding Workshop (ASRU), 206-213, 2017
222017
Rewon Child, Adam Coates, Yashesh Gaur Yi Li, Hairong Liu, Sanjeev Satheesh, Anuroop Sriram, and Zhenyao Zhu,“Exploring neural transducers for end-to-end speech recognition,”
E Battenberg, J Chen
Automatic Speech Recognition and Understanding Workshop (ASRU), 206-213, 2017
222017
Evaluating centrality metrics in real-world networks on gpu
A Sriram, K Gautham, K Kothapalli, PJ Narayan, R Govindarajulu
92009
Systems and methods for principled bias reduction in production speech models
E Battenberg, R Child, A Coates, C Fougner, J Huang, JUN Heewoo, ...
US Patent App. 15/884,239, 2018
52018
Reducing bias in production speech models
E Battenberg, R Child, A Coates, C Fougner, Y Gaur, J Huang, H Jun, ...
arXiv preprint arXiv:1705.04400, 2017
42017
RNN-T For Latency Controlled ASR With Improved Beam Search
M Jain, K Schubert, J Mahadeokar, CF Yeh, K Kalgaonkar, A Sriram, ...
arXiv preprint arXiv:1911.01629, 2019
22019
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures
G Synnaeve, Q Xu, J Kahn, E Grave, T Likhomanenko, V Pratap, A Sriram, ...
arXiv preprint arXiv:1911.08460, 2019
12019
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction
A Sriram, J Zbontar, T Murrell, CL Zitnick, A Defazio, DK Sodickson
arXiv preprint arXiv:1910.12325, 2019
12019
FRED User's Guide
J Grefenstette, J DePasse, D Galloway, YT Weng, D Burke, R Rosenfeld, ...
University of Pittsburgh, Pittsburgh, 2013
12013
fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning
F Knoll, J Zbontar, A Sriram, MJ Muckley, M Bruno, A Defazio, M Parente, ...
Radiology: Artificial Intelligence 2 (1), e190007, 2020
2020
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
F Knoll, T Murrell, A Sriram, N Yakubova, J Zbontar, M Rabbat, A Defazio, ...
arXiv preprint arXiv:2001.02518, 2020
2020
Systems and methods for robust speech recognition using generative adversarial networks
A Sriram, HW Jun, S Satheesh
US Patent App. 16/154,648, 2019
2019
Cold fusing sequence-to-sequence models with language models
A Sriram, JUN Heewoo, S Satheesh, A Coates
US Patent App. 15/913,875, 2018
2018
Evaluating Centrality Metrics in Real-World Networks on GPU
ASK Gautham, KKPJNR Govindarajulu
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