| Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains JL Gauvain, CH Lee IEEE transactions on speech and audio processing 2 (2), 291-298, 1994 | 3264 | 1994 |
| A regression approach to speech enhancement based on deep neural networks Y Xu, J Du, LR Dai, CH Lee IEEE/ACM transactions on audio, speech, and language processing 23 (1), 7-19, 2014 | 1547 | 2014 |
| An experimental study on speech enhancement based on deep neural networks Y Xu, J Du, LR Dai, CH Lee IEEE Signal processing letters 21 (1), 65-68, 2013 | 1087 | 2013 |
| Minimum classification error rate methods for speech recognition BH Juang, W Hou, CH Lee IEEE Transactions on Speech and Audio processing 5 (3), 257-265, 1997 | 988 | 1997 |
| Automatic recognition of keywords in unconstrained speech using hidden Markov models JG Wilpon, LR Rabiner, CH Lee, ER Goldman IEEE Transactions on Acoustics, Speech, and Signal Processing 38 (11), 1870-1878, 1990 | 710 | 1990 |
| A maximum-likelihood approach to stochastic matching for robust speech recognition A Sankar, CH Lee IEEE transactions on speech and Audio Processing 4 (3), 190-202, 1996 | 518 | 1996 |
| A study on speaker adaptation of the parameters of continuous density hidden Markov models CH Lee, CH Lin, BH Juang IEEE Transactions on Signal Processing 39 (4), 806-814, 1991 | 466 | 1991 |
| The use of cohort normalized scores for speaker verification AE Rosenberg, J DeLong, CH Lee, BH Juang, FK Soong Proc. ICSLP 1992, 599-602, 1992 | 423 | 1992 |
| Developments and directions in speech recognition and understanding, Part 1 [DSP Education] JM Baker, L Deng, J Glass, S Khudanpur, CH Lee, N Morgan, ... IEEE Signal processing magazine 26 (3), 75-80, 2009 | 368 | 2009 |
| On mean absolute error for deep neural network based vector-to-vector regression J Qi, J Du, SM Siniscalchi, X Ma, CH Lee IEEE Signal Processing Letters 27, 1485-1489, 2020 | 347 | 2020 |
| A vector space modeling approach to spoken language identification H Li, B Ma, CH Lee IEEE Transactions on Audio, Speech, and Language Processing 15 (1), 271-284, 2006 | 301 | 2006 |
| Evaluation of sliding window correlation performance for characterizing dynamic functional connectivity and brain states S Shakil, CH Lee, SD Keilholz Neuroimage 133, 111-128, 2016 | 296 | 2016 |
| Automatic speech and speaker recognition: advanced topics CH Lee, FK Soong, KK Paliwal Springer Science & Business Media, 2012 | 289 | 2012 |
| Segmental GPD training of HMM based speech recognizer W Chou, BH Juang, CH Lee Acoustics, Speech, and Signal Processing, IEEE International Conference on 1 …, 1992 | 273 | 1992 |
| Acoustic modeling for large vocabulary speech recognition CH Lee, LR Rabiner, R Pieraccini, JG Wilpon Computer Speech & Language 4 (2), 127-165, 1990 | 272 | 1990 |
| Multiple-target deep learning for LSTM-RNN based speech enhancement L Sun, J Du, LR Dai, CH Lee 2017 Hands-free Speech Communications and Microphone Arrays (HSCMA), 136-140, 2017 | 255 | 2017 |
| Pattern recognition using a family of design algorithms based upon the generalized probabilistic descent method S Katagiri, BH Juang, CH Lee Proceedings of the IEEE 86 (11), 2345-2373, 1998 | 248 | 1998 |
| Vocabulary independent discriminative utterance verification for nonkeyword rejection in subword based speech recognition RA Sukkar, CH Lee IEEE Transactions on Speech and Audio Processing 4 (6), 420-429, 1996 | 241 | 1996 |
| Speaker adaptation based on MAP estimation of HMM parameters CH Lee, JL Gauvain 1993 IEEE International Conference on Acoustics, Speech, and Signal …, 1993 | 239 | 1993 |
| A structural Bayes approach to speaker adaptation K Shinoda, CH Lee IEEE Transactions on Speech and Audio Processing 9 (3), 276-287, 2001 | 221 | 2001 |