| Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups G Hinton, L Deng, D Yu, GE Dahl, A Mohamed, N Jaitly, A Senior, ... IEEE Signal processing magazine 29 (6), 82-97, 2012 | 14218 | 2012 |
| Deep learning: methods and applications L Deng, D Yu Foundations and trends® in signal processing 7 (3–4), 197-387, 2014 | 6149 | 2014 |
| Context-Dependent Pre-trained Deep Neural Networks for Large Vocabulary Speech Recognition G Dahl, D Yu, L Deng, A Acero Audio, Speech, and Language Processing, IEEE Transactions on 20 (1), 30 - 42, 2012 | 4028 | 2012 |
| Convolutional neural networks for speech recognition O Abdel-Hamid, A Mohamed, H Jiang, L Deng, G Penn, D Yu IEEE/ACM Transactions on audio, speech, and language processing 22 (10 …, 2014 | 2944 | 2014 |
| Automatic Speech Recognition - A Deep Learning Approach D Yu, L Deng Springer, 2015 | 1686* | 2015 |
| Conversational speech transcription using context-dependent deep neural networks. F Seide, G Li, D Yu Interspeech, 437-440, 2011 | 1166 | 2011 |
| 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 | 1142 | 2014 |
| 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 | 1064 | 2013 |
| Speech emotion recognition using deep neural network and extreme learning machine K Han, D Yu, I Tashev Interspeech 2014, 2014 | 1032 | 2014 |
| Permutation invariant training of deep models for speaker-independent multi-talker speech separation D Yu, M Kolbæk, ZH Tan, J Jensen 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 1001 | 2017 |
| The Microsoft 2017 conversational speech recognition system W Xiong, L Wu, F Alleva, J Droppo, X Huang, A Stolcke 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 974 | 2018 |
| Multitalker speech separation with utterance-level permutation invariant training of deep recurrent neural networks M Kolbæk, D Yu, ZH Tan, J Jensen IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (10 …, 2017 | 938 | 2017 |
| An investigation of deep neural networks for noise robust speech recognition ML Seltzer, D Yu, Y Wang 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 810 | 2013 |
| Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers JT Huang, J Li, D Yu, L Deng, Y Gong 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 790 | 2013 |
| 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 | 787 | 2011 |
| Using recurrent neural networks for slot filling in spoken language understanding G Mesnil, Y Dauphin, K Yao, Y Bengio, L Deng, D Hakkani-Tur, X He, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (3), 530-539, 2014 | 770 | 2014 |
| 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 | 726 | 2016 |
| Deep learning and its applications to signal and information processing [exploratory dsp] D Yu, L Deng IEEE Signal Processing Magazine 28 (1), 145-154, 2010 | 656 | 2010 |
| Large-scale malware classification using random projections and neural networks GE Dahl, JW Stokes, L Deng, D Yu 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 652 | 2013 |
| 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 | 525 | 2013 |
Li DengChief AI Officer, Citadel (former)Zweryfikowany adres z ieee.org
