| 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 | 143 | 2020 |
| Efficient training and evaluation of recurrent neural network language models for automatic speech recognition X Chen, X Liu, Y Wang, MJF Gales, PC Woodland IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (11 …, 2016 | 62 | 2016 |
| Speaker and noise factorization for robust speech recognition Y Wang, MJF Gales IEEE Transactions on Audio, Speech, and Language Processing 20 (7), 2149-2158, 2012 | 58 | 2012 |
| Joint decoding of tandem and hybrid systems for improved keyword spotting on low resource languages H Wang, A Ragni, MJF Gales, KM Knill, PC Woodland, C Zhang INTERSPEECH 2015: 16th Annual Conference of the International Speech …, 2015 | 53 | 2015 |
| A data-driven non-intrusive measure of speech quality and intelligibility D Sharma, Y Wang, PA Naylor, M Brookes Speech Communication 80, 84-94, 2016 | 51 | 2016 |
| CONFIDENCE ESTIMATION AND DELETION PREDICTION USING BIDIRECTIONAL RECURRENT NEURAL NETWORKS A Ragni, Q Li, MJF Gales, Y Wang SLT2018, 2018 | 28 | 2018 |
| Future word contexts in neural network language models X Chen, X Liu, A Ragni, Y Wang, MJF Gales 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 97-103, 2017 | 27 | 2017 |
| Towards automatic assessment of spontaneous spoken English Y Wang, MJF Gales, KM Knill, K Kyriakopoulos, A Malinin, RC van Dalen, ... Speech Communication 104, 47-56, 2018 | 23 | 2018 |
| Incorporating uncertainty into deep learning for spoken language assessment A Malinin, A Ragni, K Knill, M Gales Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 22 | 2017 |
| Semi-Supervised Training in Deep Learning Acoustic Model. Y Huang, Y Wang, Y Gong Interspeech, 3848-3852, 2016 | 22 | 2016 |
| Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription Y Wang, X Chen, M Gales, A Ragni, J Wong ICASSP2018, 2018 | 21 | 2018 |
| Speech enhancement using an MMSE spectral amplitude estimator based on a modulation domain Kalman filter with a Gamma prior Y Wang, M Brookes 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 21 | 2016 |
| Model-based speech enhancement in the modulation domain Y Wang, M Brookes IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (3), 580-594, 2017 | 19 | 2017 |
| Off-topic Response Detection for Spontaneous Spoken English Assessment A Malinin, RC Van Dalen, Y Wang, KM Knill, MJF Gales | 16 | 2016 |
| Impact of ASR performance on free speaking language assessment K Knill, M Gales, K Kyriakopoulos, A Malinin, A Ragni, Y Wang, A Caines Interspeech 2018, 1641-1645, 2018 | 15 | 2018 |
| Exploiting future word contexts in neural network language models for speech recognition X Chen, X Liu, Y Wang, A Ragni, JHM Wong, MJF Gales IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (9), 1444 …, 2019 | 14 | 2019 |
| An attention based model for off-topic spontaneous spoken response detection: An Initial Study A Malinin, K Knill, A Ragni, Y Wang, MJF Gales | 13 | 2017 |
| Speech enhancement usinga modulation domain Kalman filter post-processor with a Gaussian Mixture noise model Y Wang, M Brookes 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 13 | 2014 |
| Noise estimation based on time–frequency correlation for speech enhancement W Yuan, J Lin, W An, Y Wang, N Chen Applied acoustics 74 (5), 770-781, 2013 | 12 | 2013 |
| SPEECH ENHANCEMENT USING A ROBUST KALMAN FILTER POST-PROCESSOR IN THE MODULATION DOMAIN Y Wang, M Brookes 38th International Conference on Acoustics, Speech, and Signal Processing, 2013 | 12 | 2013 |
Mark GalesCambridge UniversityVerified email at eng.cam.ac.uk
