| Integration of complementary acoustic features for speaker recognition N Zheng, T Lee, PC Ching IEEE Signal Processing Letters 14 (3), 181-184, 2007 | 118 | 2007 |
| Robust speaker recognition using denoised vocal source and vocal tract features N Wang, PC Ching, N Zheng, T Lee IEEE transactions on audio, speech, and language processing 19 (1), 196-205, 2010 | 70 | 2010 |
| Discrimination power of vocal source and vocal tract related features for speaker segmentation WN Chan, N Zheng, T Lee IEEE Transactions on Audio, Speech, and Language Processing 15 (6), 1884-1892, 2007 | 53 | 2007 |
| Speech loss compensation by generative adversarial networks Y Shi, N Zheng, Y Kang, W Rong 2019 Asia-Pacific Signal and Information Processing Association Annual …, 2019 | 29 | 2019 |
| Mandarin speech-in-noise and tone recognition using vocoder simulations of the temporal limits encoder for cochlear implants Q Meng, N Zheng, X Li The Journal of the Acoustical Society of America 139 (1), 301-310, 2016 | 27 | 2016 |
| Enhancement of Chinese speech based on nonlinear dynamics J Sun, N Zheng, X Wang Signal Processing 87 (10), 2431-2445, 2007 | 25 | 2007 |
| Secure mobile services by face and speech based personal authentication L Shen, N Zheng, S Zheng, W Li 2010 IEEE International Conference on Intelligent Computing and Intelligent …, 2010 | 21 | 2010 |
| Time-compression thresholds for Mandarin sentences in normal-hearing and cochlear implant listeners Q Meng, X Wang, Y Cai, F Kong, AN Buck, G Yu, N Zheng, JWH Schnupp Hearing Research 374, 58-68, 2019 | 19 | 2019 |
| Use of vocal source features in speaker segmentation WN Chan, T Lee, N Zheng, H Ouyang 2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006 | 19 | 2006 |
| Time-frequency analysis of vocal source signal for speaker recognition. N Zheng, PC Ching, T Lee INTERSPEECH, 2333-2336, 2004 | 18 | 2004 |
| Using haar transformed vocal source information for automatic speaker recognition N Zheng, PC Ching 2004 IEEE International Conference on Acoustics, Speech, and Signal …, 2004 | 17 | 2004 |
| Speech enhancement using convolutional neural network with skip connections Y Shi, W Rong, N Zheng 2018 11th International symposium on Chinese spoken language processing …, 2018 | 16 | 2018 |
| Loudness contour can influence mandarin tone recognition: vocoder simulation and Cochlear implants Q Meng, N Zheng, X Li IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (6 …, 2016 | 15 | 2016 |
| Effects of skip connections in CNN-based architectures for speech enhancement N Zheng, Y Shi, W Rong, Y Kang Journal of Signal Processing Systems 92, 875-884, 2020 | 14 | 2020 |
| CU2C: A dual-condition Cantonese speech database for speaker recognition applications N Zheng, C Qin, T Lee, PC Ching Proc. Oriental-COCOSDA, 67-72, 2005 | 14 | 2005 |
| Speaker recognition using complementary information from vocal source and vocal tract N Zheng The Chinese University of Hong Kong (People's Republic of China), 2006 | 13 | 2006 |
| A temporal limits encoder for cochlear implants Q Meng, N Zheng, X Li 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 12 | 2015 |
| Deep learning-based speech enhancement with a loss trading off the speech distortion and the noise residue for cochlear implants Y Kang, N Zheng, Q Meng Frontiers in Medicine 8, 740123, 2021 | 11 | 2021 |
| Opportunistic user scheduling in MIMO cognitive radio networks L Yang, W Zhang, N Zheng, PC Ching 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 11 | 2014 |
| A new approach for noise suppression in cochlear implants: A single-channel noise reduction algorithm H Zhou, N Wang, N Zheng, G Yu, Q Meng Frontiers in Neuroscience 14, 301, 2020 | 9 | 2020 |
