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Anjuli Kannan
Anjuli Kannan
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引用次数
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State-of-the-art speech recognition with sequence-to-sequence models
CC Chiu, TN Sainath, Y Wu, R Prabhavalkar, P Nguyen, Z Chen, ...
2018 IEEE international conference on acoustics, speech and signal …, 2018
14202018
Streaming end-to-end speech recognition for mobile devices
Y He, TN Sainath, R Prabhavalkar, I McGraw, R Alvarez, D Zhao, ...
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
7022019
Smart reply: Automated response suggestion for email
A Kannan, K Kurach, S Ravi, T Kaufmann, A Tomkins, B Miklos, ...
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
3782016
An analysis of incorporating an external language model into a sequence-to-sequence model
A Kannan, Y Wu, P Nguyen, TN Sainath, Z Chen, R Prabhavalkar
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
2692018
A streaming on-device end-to-end model surpassing server-side conventional model quality and latency
TN Sainath, Y He, B Li, A Narayanan, R Pang, A Bruguier, S Chang, W Li, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
2202020
Lingvo: a modular and scalable framework for sequence-to-sequence modeling
J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ...
arXiv preprint arXiv:1902.08295, 2019
2022019
Minimum word error rate training for attention-based sequence-to-sequence models
R Prabhavalkar, TN Sainath, Y Wu, P Nguyen, Z Chen, CC Chiu, ...
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
1842018
Deep context: end-to-end contextual speech recognition
G Pundak, TN Sainath, R Prabhavalkar, A Kannan, D Zhao
2018 IEEE spoken language technology workshop (SLT), 418-425, 2018
1832018
A comparison of techniques for language model integration in encoder-decoder speech recognition
S Toshniwal, A Kannan, CC Chiu, Y Wu, TN Sainath, K Livescu
2018 IEEE spoken language technology workshop (SLT), 369-375, 2018
1812018
Large-scale multilingual speech recognition with a streaming end-to-end model
A Kannan, A Datta, TN Sainath, E Weinstein, B Ramabhadran, Y Wu, ...
arXiv preprint arXiv:1909.05330, 2019
1762019
Contextual Speech Recognition in End-to-end Neural Network Systems Using Beam Search.
I Williams, A Kannan, PS Aleksic, D Rybach, TN Sainath
Interspeech, 2227-2231, 2018
862018
Adversarial evaluation of dialogue models
A Kannan, O Vinyals
arXiv preprint arXiv:1701.08198, 2017
862017
A comparison of end-to-end models for long-form speech recognition
CC Chiu, W Han, Y Zhang, R Pang, S Kishchenko, P Nguyen, ...
2019 IEEE automatic speech recognition and understanding workshop (ASRU …, 2019
812019
Extracting symptoms and their status from clinical conversations
N Du, K Chen, A Kannan, L Tran, Y Chen, I Shafran
arXiv preprint arXiv:1906.02239, 2019
702019
Speech recognition for medical conversations
CC Chiu, A Tripathi, K Chou, C Co, N Jaitly, D Jaunzeikare, A Kannan, ...
arXiv preprint arXiv:1711.07274, 2017
682017
Improving the performance of online neural transducer models
TN Sainath, CC Chiu, R Prabhavalkar, A Kannan, Y Wu, P Nguyen, ...
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
562018
Automatically charting symptoms from patient-physician conversations using machine learning
A Rajkomar, A Kannan, K Chen, L Vardoulakis, K Chou, C Cui, J Dean
JAMA internal medicine 179 (6), 836-838, 2019
532019
On the choice of modeling unit for sequence-to-sequence speech recognition
K Irie, R Prabhavalkar, A Kannan, A Bruguier, D Rybach, P Nguyen
arXiv preprint arXiv:1902.01955, 2019
532019
No need for a lexicon? evaluating the value of the pronunciation lexica in end-to-end models
TN Sainath, R Prabhavalkar, S Kumar, S Lee, A Kannan, D Rybach, ...
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
522018
Determining semantically diverse responses for providing as suggestions for inclusion in electronic communications
T Kaufmann, A Kannan
US Patent 11,030,515, 2021
512021
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