| Improving deep neural network acoustic models using generalized maxout networks X Zhang, J Trmal, D Povey, S Khudanpur 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 334 | 2014 |
| Parallel training of deep neural networks with natural gradient and parameter averaging D Povey, X Zhang, S Khudanpur arXiv preprint arXiv:1410.7455, 2014 | 282 | 2014 |
| Improving Speaker Recognition Performance in the Domain Adaptation Challenge using Deep Neural Networks D Garcia-Romero, X Zhang, A McCree, D Povey Proc. SLT, 2014 | 90 | 2014 |
| Transformer-based acoustic modeling for hybrid speech recognition Y Wang, A Mohamed, D Le, C Liu, A Xiao, J Mahadeokar, H Huang, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 65 | 2020 |
| A KEYWORD SEARCH SYSTEM USING OPEN SOURCE SOFTWARE J Trmal, G Chen, D Povey, S Khudanpur, P Ghahremani, X Zhang, ... Proc. SLT, 2014 | 45 | 2014 |
| From senones to chenones: Tied context-dependent graphemes for hybrid speech recognition D Le, X Zhang, W Zheng, C Fügen, G Zweig, ML Seltzer 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 33 | 2019 |
| The Kaldi OpenKWS System: Improving Low Resource Keyword Search. J Trmal, M Wiesner, V Peddinti, X Zhang, P Ghahremani, Y Wang, ... Interspeech, 3597-3601, 2017 | 30 | 2017 |
| Backstitch: Counteracting Finite-Sample Bias via Negative Steps. Y Wang, V Peddinti, H Xu, X Zhang, D Povey, S Khudanpur Interspeech, 1631-1635, 2017 | 24 | 2017 |
| A diversity-penalizing ensemble training method for deep learning X Zhang, D Povey, S Khudanpur Sixteenth Annual Conference of the International Speech Communication …, 2015 | 19 | 2015 |
| Deja-vu: Double feature presentation and iterated loss in deep transformer networks A Tjandra, C Liu, F Zhang, X Zhang, Y Wang, G Synnaeve, S Nakamura, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 10 | 2020 |
| Fast, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces F Zhang, Y Wang, X Zhang, C Liu, Y Saraf, G Zweig arXiv preprint arXiv:2005.09150, 2020 | 7 | 2020 |
| Acoustic data-driven lexicon learning based on a greedy pronunciation selection framework X Zhang, V Manohar, D Povey, S Khudanpur Interspeech 2017, 2017 | 7 | 2017 |
| Flaw classification in ultrasonic guided waves signal using Wavelet Transform and PNN classifier X Zhang, G Sun, H Liu, Q Wang 2011 international conference on Wireless Communications and Signal …, 2011 | 7 | 2011 |
| Multilingual graphemic hybrid ASR with massive data augmentation C Liu, Q Zhang, X Zhang, K Singh, Y Saraf, G Zweig arXiv preprint arXiv:1909.06522, 2019 | 6 | 2019 |
| Benchmarking LF-MMI, CTC And RNN-T Criteria For Streaming ASR X Zhang, F Zhang, C Liu, K Schubert, J Chan, P Prakash, J Liu, CF Yeh, ... 2021 IEEE Spoken Language Technology Workshop (SLT), 46-51, 2021 | 2 | 2021 |
| Deja-vu: Double feature presentation in deep transformer networks A Tjandra, C Liu, F Zhang, X Zhang, Y Wang, G Synnaeve, S Nakamura, ... Submitted to ICASSP, 2020 | 2 | 2020 |
| Multilingual asr with massive data augmentation C Liu, Q Zhang, X Zhang, K Singh, Y Saraf, G Zweig arXiv preprint arXiv:1909.06522, 2019 | 2 | 2019 |
| OOV Recovery with Efficient 2nd Pass Decoding and Open-vocabulary Word-level RNNLM Rescoring for Hybrid ASR X Zhang, D Povey, S Khudanpur ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | | 2020 |
Daniel PoveyChief Speech Scientist, Xiaomi Corp.Verified email at xiaomi.com
