| Streaming end-to-end speech recognition for mobile devices Y He, TN Sainath, R Prabhavalkar, I McGraw, R Alvarez, D Zhao, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 586 | 2019 |
| Comparison of discriminative input and output transformations for speaker adaptation in the hybrid NN/HMM systems B Li, KC Sim Eleventh Annual Conference of the International Speech Communication Association, 2010 | 203 | 2010 |
| Acoustic Modeling for Google Home. B Li, TN Sainath, A Narayanan, J Caroselli, M Bacchiani, A Misra, ... Interspeech, 399-403, 2017 | 177 | 2017 |
| Consensus network decoding for statistical machine translation system combination KC Sim, WJ Byrne, MJF Gales, H Sahbi, PC Woodland 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 129 | 2007 |
| Multi-dialect speech recognition with a single sequence-to-sequence model B Li, TN Sainath, KC Sim, M Bacchiani, E Weinstein, P Nguyen, Z Chen, ... 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 113 | 2018 |
| Toward domain-invariant speech recognition via large scale training A Narayanan, A Misra, KC Sim, G Pundak, A Tripathi, M Elfeky, P Haghani, ... 2018 IEEE Spoken Language Technology Workshop (SLT), 441-447, 2018 | 83 | 2018 |
| The NUS sung and spoken lyrics corpus: A quantitative comparison of singing and speech Z Duan, H Fang, B Li, KC Sim, Y Wang 2013 Asia-Pacific Signal and Information Processing Association Annual …, 2013 | 83 | 2013 |
| Bigssl: Exploring the frontier of large-scale semi-supervised learning for automatic speech recognition Y Zhang, DS Park, W Han, J Qin, A Gulati, J Shor, A Jansen, Y Xu, ... IEEE Journal of Selected Topics in Signal Processing 16 (6), 1519-1532, 2022 | 82 | 2022 |
| Factorized hidden layer adaptation for deep neural network based acoustic modeling L Samarakoon, KC Sim IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (12 …, 2016 | 70 | 2016 |
| A lattice-based approach to query-by-example spoken document retrieval TK Chia, KC Sim, H Li, HT Ng Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 69 | 2008 |
| Semantic transliteration of personal names H Li, KC Sim, JS Kuo, M Dong Proceedings of the 45th Annual Meeting of the Association of Computational …, 2007 | 65 | 2007 |
| A spectral masking approach to noise-robust speech recognition using deep neural networks B Li, KC Sim IEEE/ACM transactions on audio, speech, and language processing 22 (8), 1296 …, 2014 | 58 | 2014 |
| Improving the interpretability of deep neural networks with stimulated learning S Tan, KC Sim, M Gales 2015 ieee workshop on automatic speech recognition and understanding (asru …, 2015 | 57 | 2015 |
| An investigation of augmenting speaker representations to improve speaker normalisation for dnn-based speech recognition H Huang, KC Sim 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 54 | 2015 |
| An investigation into on-device personalization of end-to-end automatic speech recognition models KC Sim, P Zadrazil, F Beaufays arXiv preprint arXiv:1909.06678, 2019 | 52 | 2019 |
| Speaker-aware training of LSTM-RNNs for acoustic modelling T Tan, Y Qian, D Yu, S Kundu, L Lu, KC Sim, X Xiao, Y Zhang 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 52 | 2016 |
| The CU-HTK Mandarin broadcast news transcription system R Sinha, MJF Gales, DY Kim, XA Liu, KC Sim, PC Woodland 2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006 | 51 | 2006 |
| An investigation of spectral restoration algorithms for deep neural networks based noise robust speech recognition. B Li, Y Tsao, KC Sim Interspeech, 3002-3006, 2013 | 47 | 2013 |
| Improving robustness of deep neural networks via spectral masking for automatic speech recognition B Li, KC Sim 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 279-284, 2013 | 46 | 2013 |
| Stimulated deep neural network for speech recognition C Wu, P Karanasou, MJF Gales, KC Sim ISCA, 2016 | 45 | 2016 |
