| The RedDots data collection for speaker recognition KA Lee, A Larcher, G Wang, P Kenny, N Brümmer, D Van Leeuwen, ... Interspeech 2015, 2015 | 188 | 2015 |
| Component fusion: Learning replaceable language model component for end-to-end speech recognition system C Shan, C Weng, G Wang, D Su, M Luo, D Yu, L Xie ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 110 | 2019 |
| Investigating end-to-end speech recognition for mandarin-english code-switching C Shan, C Weng, G Wang, D Su, M Luo, D Yu, L Xie ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 93 | 2019 |
| Improving Attention Based Sequence-to-Sequence Models for End-to-End English Conversational Speech Recognition. C Weng, J Cui, G Wang, J Wang, C Yu, D Su, D Yu Interspeech, 761-765, 2018 | 63 | 2018 |
| Speech-XLNet: Unsupervised acoustic model pretraining for self-attention networks X Song, G Wang, Z Wu, Y Huang, D Su, D Yu, H Meng arXiv preprint arXiv:1910.10387, 2019 | 60 | 2019 |
| Adapt-and-adjust: Overcoming the long-tail problem of multilingual speech recognition GI Winata, G Wang, C Xiong, S Hoi arXiv preprint arXiv:2012.01687, 2020 | 58 | 2020 |
| An investigation of phone-based subword units for end-to-end speech recognition W Wang, G Wang, A Bhatnagar, Y Zhou, C Xiong, R Socher arXiv preprint arXiv:2004.04290, 2020 | 47 | 2020 |
| Sequential classification criteria for NNs in automatic speech recognition W Guangsen, KC Sim Proceedings of the Annual Conference of the International Speech …, 2011 | 34 | 2011 |
| The 2015 nist language recognition evaluation: the shared view of i2r, fantastic4 and singams KA Lee, H Li, L Deng, V Hautamäki, W Rao, X Xiao, A Larcher, H Sun, ... Interspeech 2016 2016, 3211-3215, 2016 | 31 | 2016 |
| The I4U mega fusion and collaboration for NIST speaker recognition evaluation 2016 KA Lee, V Hautamäki, T Kinnunen, A Larcher, C Zhang, A Nautsch, ... Interspeech, 1328-1332, 2017 | 27 | 2017 |
| Regression-based context-dependent modeling of deep neural networks for speech recognition G Wang, KC Sim IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (11 …, 2014 | 23 | 2014 |
| Improving attention-based end-to-end ASR systems with sequence-based loss functions J Cui, C Weng, G Wang, J Wang, P Wang, C Yu, D Su, D Yu 2018 IEEE Spoken Language Technology Workshop (SLT), 353-360, 2018 | 16 | 2018 |
| Joint Speaker and Lexical Modeling for Short-Term Characterization of Speaker. G Wang, KA Lee, TH Nguyen, H Sun, B Ma Interspeech, 415-419, 2016 | 14 | 2016 |
| An investigation of tied-mixture GMM based triphone state clustering G Wang, KC Sim 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 10 | 2012 |
| Context-dependent modelling of deep neural network using logistic regression G Wang, KC Sim 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 338-343, 2013 | 9 | 2013 |
| The reddots platform for mobile crowd-sourcing of speech data. KA Lee, G Wang, KP Ng, H Sun, TH Nguyen, NTH Thai, B Ma, H Li INTERSPEECH, 2603-2604, 2015 | 6 | 2015 |
| A two-stage multi-feature integration approach to unsupervised speaker change detection in real-time news broadcasting L Xie, G Wang 2008 6th International Symposium on Chinese Spoken Language Processing, 1-4, 2008 | 6 | 2008 |
| I2R Submission to the 2015 NIST Language Recognition I-vector Challenge. H Sun, TH Nguyen, G Wang, KA Lee, B Ma, H Li Odyssey, 311-318, 2016 | 5 | 2016 |
| Context dependent acoustic keyword spotting using deep neural network G Wang, KC Sim 2013 Asia-Pacific Signal and Information Processing Association Annual …, 2013 | 5 | 2013 |
| A random gossip BMUF process for neural language modeling Y Huang, J Tian, L Han, G Wang, X Song, D Su, D Yu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 3 | 2020 |
