A
Anuroop Sriram
Researcher at Facebook
Publications - 35
Citations - 3053
Anuroop Sriram is an academic researcher from Facebook. The author has contributed to research in topics: Language model & Natural language. The author has an hindex of 18, co-authored 35 publications receiving 1482 citations. Previous affiliations of Anuroop Sriram include Carnegie Mellon University & Baidu.
Papers
More filters
Posted Content
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.
Jure Zbontar,Florian Knoll,Anuroop Sriram,Matthew J. Muckley,Mary Bruno,Aaron Defazio,Marc Parente,Krzysztof J. Geras,Joe Katsnelson,Hersh Chandarana,Zizhao Zhang,Michal Drozdzal,Adriana Romero,Michael G. Rabbat,Pascal Vincent,James Pinkerton,Duo Wang,Nafissa Yakubova,Erich James Owens,C. Lawrence Zitnick,Michael P. Recht,Daniel K. Sodickson,Yvonne W. Lui +22 more
TL;DR: The fastMRI dataset is introduced, a large-scale collection of both raw MR measurements and clinical MR images that can be used for training and evaluation of machine-learning approaches to MR image reconstruction.
Proceedings ArticleDOI
Exploring neural transducers for end-to-end speech recognition
Eric Battenberg,Jitong Chen,Rewon Child,Adam Coates,Yashesh Gaur Yi Li,Hairong Liu,Sanjeev Satheesh,Anuroop Sriram,Zhenyao Zhu +8 more
TL;DR: In this paper, the authors perform an empirical comparison among the CTC, RNN-Transducer, and attention-based Seq2Seq models for end-to-end speech recognition.
Journal ArticleDOI
fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.
Florian Knoll,Jure Zbontar,Anuroop Sriram,Matthew J. Muckley,Mary Bruno,Aaron Defazio,Marc Parente,Krzysztof J. Geras,Joe Katsnelson,Hersh Chandarana,Zizhao Zhang,Michal Drozdzalv,Adriana Romero,Michael G. Rabbat,Pascal Vincent,James Pinkerton,Duo Wang,Nafissa Yakubova,Erich James Owens,C. Lawrence Zitnick,Michael P. Recht,Daniel K. Sodickson,Yvonne W. Lui +22 more
TL;DR: A publicly available dataset containing k-space data as well as Digital Imaging and Communications in Medicine image data of knee images for accelerated MR image reconstruction using machine learning is presented.
Posted Content
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures
Gabriel Synnaeve,Qiantong Xu,Jacob Kahn,Edouard Grave,Tatiana Likhomanenko,Vineel Pratap,Anuroop Sriram,Vitaliy Liptchinsky,Ronan Collobert +8 more
TL;DR: This work studies pseudo-labeling for the semi-supervised training of ResNet, Time-Depth Separable ConvNets, and Transformers for speech recognition, with either CTC or Seq2Seq loss functions, and reaches a new state-of-the-art for end-to-end acoustic models decoded with an external language model in the standard supervised learning setting.
Proceedings ArticleDOI
MLS: A Large-Scale Multilingual Dataset for Speech Research.
TL;DR: This paper introduces Multilingual LibriSpeech (MLS) dataset, a large multilingual corpus suitable for speech research and believes such a large transcribed dataset will open new avenues in ASR and Text-To-Speech research.