| Speaker identification and verification by combining MFCC and phase information S Nakagawa, L Wang, S Ohtsuka IEEE transactions on audio, speech, and language processing 20 (4), 1085-1095, 2011 | 280 | 2011 |
| Spex+: A complete time domain speaker extraction network M Ge, C Xu, L Wang, ES Chng, J Dang, H Li arXiv preprint arXiv:2005.04686, 2020 | 139 | 2020 |
| Speaker recognition by combining MFCC and phase information S Nakagawa, K Asakawa, L Wang Interspeech 2007, 2005-2008, 2007 | 136 | 2007 |
| Relative phase information for detecting human speech and spoofed speech. L Wang, Y Yoshida, Y Kawakami, S Nakagawa INTERSPEECH, 2092-2096, 2015 | 105 | 2015 |
| Speaker identification by combining MFCC and phase information in noisy environments L Wang, K Minami, K Yamamoto, S Nakagawa 2010 IEEE international conference on acoustics, speech and signal …, 2010 | 84 | 2010 |
| Deep neural network-based bottleneck feature and denoising autoencoder-based dereverberation for distant-talking speaker identification Z Zhang, L Wang, A Kai, T Yamada, W Li, M Iwahashi EURASIP Journal on Audio, Speech, and Music Processing 2015, 1-13, 2015 | 80 | 2015 |
| Relation modeling with graph convolutional networks for facial action unit detection Z Liu, J Dong, C Zhang, L Wang, J Dang MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South …, 2020 | 79 | 2020 |
| Improvement of Distant-Talking Speaker Identification Using Bottleneck Features of DNN T Yamada, L Wang, A Kai Interspeech 2012, 2013 | 78 | 2013 |
| Speech emotion recognition with local-global aware deep representation learning J Liu, Z Liu, L Wang, L Guo, J Dang ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 65 | 2020 |
| Robust distant speaker recognition based on position-dependent CMN by combining speaker-specific GMM with speaker-adapted HMM L Wang, N Kitaoka, S Nakagawa Speech communication 49 (6), 501-513, 2007 | 64 | 2007 |
| Exploration of complementary features for speech emotion recognition based on kernel extreme learning machine L Guo, L Wang, J Dang, Z Liu, H Guan IEEE Access 7, 75798-75809, 2019 | 63 | 2019 |
| A feature fusion method based on extreme learning machine for speech emotion recognition L Guo, L Wang, J Dang, L Zhang, H Guan 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 61 | 2018 |
| Implicit discourse relation recognition using neural tensor network with interactive attention and sparse learning F Guo, R He, D Jin, J Dang, L Wang, X Li Proceedings of the 27th International Conference on Computational …, 2018 | 55 | 2018 |
| Spoofing speech detection using modified relative phase information L Wang, S Nakagawa, Z Zhang, Y Yoshida, Y Kawakami IEEE Journal of selected topics in signal processing 11 (4), 660-670, 2017 | 49 | 2017 |
| A study of learning based beamforming methods for speech recognition X Xiao, C Xu, Z Zhang, S Zhao, S Sun, S Watanabe, L Wang, L Xie, ... CHiME 2016 workshop, 26-31, 2016 | 49 | 2016 |
| Multi-stage speaker extraction with utterance and frame-level reference signals M Ge, C Xu, L Wang, ES Chng, J Dang, H Li ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 43 | 2021 |
| Multimodal emotion recognition with capsule graph convolutional based representation fusion J Liu, S Chen, L Wang, Z Liu, Y Fu, L Guo, J Dang ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 38 | 2021 |
| Representation learning with spectro-temporal-channel attention for speech emotion recognition L Guo, L Wang, C Xu, J Dang, ES Chng, H Li ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 36 | 2021 |
| Speech Emotion Recognition by Combining Amplitude and Phase Information Using Convolutional Neural Network. L Guo, L Wang, J Dang, L Zhang, H Guan, X Li INTERSPEECH, 1611-1615, 2018 | 36 | 2018 |
| High improvement of speaker identification and verification by combining MFCC and phase information L Wang, S Ohtsuka, S Nakagawa 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 36 | 2009 |
Jianwu DangJAIST, Japan / Tianjin Univ., ChinaVerified email at jaist.ac.jp
