EESEN: End-to-end speech recognition using deep RNN models and WFST-based decoding Y Miao, M Gowayyed, F Metze 2015 IEEE workshop on automatic speech recognition and understanding (ASRU …, 2015 | 977 | 2015 |
Extracting deep bottleneck features using stacked auto-encoders J Gehring, Y Miao, F Metze, A Waibel 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 386 | 2013 |
Speaker adaptive training of deep neural network acoustic models using i-vectors Y Miao, H Zhang, F Metze IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (11 …, 2015 | 147 | 2015 |
Deep maxout networks for low-resource speech recognition Y Miao, F Metze, S Rawat 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 398-403, 2013 | 129 | 2013 |
Kaldi+ PDNN: building DNN-based ASR systems with Kaldi and PDNN Y Miao arXiv preprint arXiv:1401.6984, 2014 | 112 | 2014 |
Towards speaker adaptive training of deep neural network acoustic models. Y Miao, H Zhang, F Metze Interspeech, 2189-2193, 2014 | 108 | 2014 |
An empirical exploration of CTC acoustic models Y Miao, M Gowayyed, X Na, T Ko, F Metze, A Waibel 2016 IEEE international conference on acoustics, speech and signal …, 2016 | 106 | 2016 |
Viral video style: A closer look at viral videos on youtube L Jiang, Y Miao, Y Yang, Z Lan, AG Hauptmann Proceedings of International Conference on Multimedia Retrieval, 193-200, 2014 | 103 | 2014 |
Simplifying long short-term memory acoustic models for fast training and decoding Y Miao, J Li, Y Wang, SX Zhang, Y Gong 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 100 | 2016 |
Improving low-resource CD-DNN-HMM using dropout and multilingual DNN training. Y Miao, F Metze Interspeech 13, 2237-2241, 2013 | 89 | 2013 |
Visual features for context-aware speech recognition A Gupta, Y Miao, L Neves, F Metze 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 55 | 2017 |
On speaker adaptation of long short-term memory recurrent neural networks Y Miao, F Metze Sixteenth Annual Conference of the International Speech Communication …, 2015 | 53 | 2015 |
Improvements to speaker adaptive training of deep neural networks Y Miao, L Jiang, H Zhang, F Metze 2014 IEEE Spoken Language Technology Workshop (SLT), 165-170, 2014 | 52 | 2014 |
Informedia@ TrecVID 2014: MED and MER SI Yu, L Jiang, Z Xu, Z Lan, S Xu, X Chang, X Li, Z Mao, C Gan, Y Miao, ... TREC Video Retrieval Evaluation 2014, 2014 | 44 | 2014 |
Modular combination of deep neural networks for acoustic modeling. J Gehring, W Lee, K Kilgour, IR Lane, Y Miao, A Waibel, SV Campus INTERSPEECH, 94-98, 2013 | 44 | 2013 |
Open-Domain Audio-Visual Speech Recognition: A Deep Learning Approach. Y Miao, F Metze Interspeech 1 (2), 3, 2016 | 34 | 2016 |
Distributed learning of multilingual DNN feature extractors using GPUs Y Miao, H Zhang, F Metze Fifteenth Annual Conference of the International Speech Communication …, 2014 | 32 | 2014 |
Improving language-universal feature extraction with deep maxout and convolutional neural networks Y Miao, F Metze Fifteenth Annual Conference of the International Speech Communication …, 2014 | 26 | 2014 |
Distance-aware DNNs for robust speech recognition. Y Miao, F Metze INTERSPEECH, 761-765, 2015 | 23 | 2015 |
Semi-supervised training in low-resource ASR and KWS F Metze, A Gandhe, Y Miao, Z Sheikh, Y Wang, D Xu, H Zhang, J Kim, ... 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 16 | 2015 |