Follow
Frank Seide
Title
Cited by
Cited by
Year
Conversational speech transcription using context-dependent deep neural networks.
F Seide, G Li, D Yu
Interspeech, 437-440, 2011
11582011
1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNs.
F Seide, H Fu, J Droppo, G Li, D Yu
Interspeech 2014, 1058-1062, 2014
11152014
Recent advances in deep learning for speech research at Microsoft
L Deng, J Li, JT Huang, K Yao, D Yu, F Seide, M Seltzer, G Zweig, X He, ...
2013 IEEE international conference on acoustics, speech and signal …, 2013
10542013
Marian: Fast neural machine translation in C++
M Junczys-Dowmunt, R Grundkiewicz, T Dwojak, H Hoang, K Heafield, ...
arXiv preprint arXiv:1804.00344, 2018
7892018
Feature engineering in context-dependent deep neural networks for conversational speech transcription
F Seide, G Li, X Chen, D Yu
2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 24-29, 2011
7862011
Achieving human parity on automatic chinese to english news translation
H Hassan, A Aue, C Chen, V Chowdhary, J Clark, C Federmann, X Huang, ...
arXiv preprint arXiv:1803.05567, 2018
7202018
Achieving human parity in conversational speech recognition
W Xiong, J Droppo, X Huang, F Seide, M Seltzer, A Stolcke, D Yu, ...
arXiv preprint arXiv:1610.05256, 2016
7192016
CNTK: Microsoft's open-source deep-learning toolkit
F Seide, A Agarwal
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
6432016
KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition
D Yu, K Yao, H Su, G Li, F Seide
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
5242013
An introduction to computational networks and the computational network toolkit
D Yu, A Eversole, M Seltzer, K Yao, Z Huang, B Guenter, O Kuchaiev, ...
Microsoft Technical Report MSR-TR-2014–112, 2014
4752014
The Philips automatic train timetable information system
H Aust, M Oerder, F Seide, V Steinbiss
Speech Communication 17 (3-4), 249-262, 1995
3461995
The llama 3 herd of models
A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ...
arXiv preprint arXiv:2407.21783, 2024
3452024
Feature learning in deep neural networks-studies on speech recognition tasks
D Yu, ML Seltzer, J Li, JT Huang, F Seide
arXiv preprint arXiv:1301.3605, 2013
3212013
Internet search-based television
F Seide, L Lu, N Moraveji, R Yu, WY Ma
US Patent App. 11/405,369, 2007
2632007
Adaptation of context-dependent deep neural networks for automatic speech recognition
K Yao, D Yu, F Seide, H Su, L Deng, Y Gong
2012 IEEE Spoken Language Technology Workshop (SLT), 366-369, 2012
2572012
Toward human parity in conversational speech recognition
W Xiong, J Droppo, X Huang, F Seide, ML Seltzer, A Stolcke, D Yu, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (12 …, 2017
2562017
Exploiting sparseness in deep neural networks for large vocabulary speech recognition
D Yu, F Seide, G Li, L Deng
2012 IEEE International conference on acoustics, speech and signal …, 2012
1922012
Error back propagation for sequence training of context-dependent deep networks for conversational speech transcription
H Su, G Li, D Yu, F Seide
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
1822013
System and method for utilizing the content of audio/video files to select advertising content for display
Y Li, L Li, T Najm, H Gao, B Zhang, X Wang, F Seide, R Yu, HJ Zeng, ...
US Patent App. 11/084,616, 2006
1792006
Deep neural networks training for speech and pattern recognition
FTB Seide, G Li, D Yu, AC Eversole, X Chen
US Patent 9,477,925, 2016
1612016
The system can't perform the operation now. Try again later.
Articles 1–20