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Ming Li
Ming Li
Duke Kunshan University
dukekunshan.edu.cn의 이메일 확인됨
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Sphereface: Deep hypersphere embedding for face recognition
W Liu, Y Wen, Z Yu, M Li, B Raj, L Song
Proceedings of the IEEE conference on computer vision and pattern …, 2017
22342017
Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System
W Cai, J Chen, M Li
ODYSSEY, 2018
2852018
Automatic speaker age and gender recognition using acoustic and prosodic level information fusion
M Li, KJ Han, S Narayanan
Computer Speech & Language 27 (1), 151-167, 2013
2092013
Identifying children with autism spectrum disorder based on their face processing abnormality: A machine learning framework
W Liu, M Li, L Yi
Autism Research 9 (8), 888-898, 2016
1662016
Multimodal physical activity recognition by fusing temporal and cepstral information
M Li, V Rozgić, G Thatte, S Lee, A Emken, M Annavaram, U Mitra, ...
IEEE Transactions on neural systems and rehabilitation engineering 18 (4 …, 2010
1502010
Robust ECG biometrics by fusing temporal and cepstral information
M Li, S Narayanan
2010 20th International Conference on Pattern Recognition, 1326-1329, 2010
1302010
Polyphone Disambiguation for Mandarin Chinese Using Conditional Neural Network with Multi-level Embedding Features
Z Cai, Y Yang, C Zhang, X Qin, M Li
Interspeech 2019, 2019
107*2019
KNOWME: a case study in wireless body area sensor network design
U Mitra, BA Emken, S Lee, M Li, V Rozgic, G Thatte, H Vathsangam, ...
IEEE Communications Magazine 50 (5), 116-125, 2012
1012012
Automatic intelligibility classification of sentence-level pathological speech
J Kim, N Kumar, A Tsiartas, M Li, SS Narayanan
Computer speech & language 29 (1), 132-144, 2015
812015
Entity disambiguation by knowledge and text jointly embedding
W Fang, J Zhang, D Wang, Z Chen, M Li
Proceedings of The 20th SIGNLL Conference on Computational Natural Language …, 2016
802016
Countermeasures for Automatic Speaker Verification Replay Spoofing Attack: On Data Augmentation, Feature Representation, Classification and Fusion.
W Cai, D Cai, W Liu, G Li, M Li
INTERSPEECH, 17-21, 2017
672017
A Novel Learnable Dictionary Encoding Layer for End-to-End Language Identification
W Cai, Z Cai, X Zhang, X Wang, M Li
ICASSP, 2018
652018
Aishell-3: A multi-speaker mandarin tts corpus and the baselines
Y Shi, H Bu, X Xu, S Zhang, M Li
arXiv preprint arXiv:2010.11567, 2020
642020
LSTM Based Similarity Measurement with Spectral Clustering for Speaker Diarzation
Q Lin, R Yin, M Li, H Bredin, C Barras
Interspeech, 2019
612019
RWF-2000: An Open Large Scale Video Database for Violence Detection
M Cheng, K Cai, M Li
ICPR 2020, 2020
592020
Innovations in the Use of Interactive Technology to Support Weight Management
D Spruijt-Metz, CKF Wen, G O’Reilly, M Li, S Lee, BA Emken, U Mitra, ...
Current Obesity Reports 4 (4), 510-519, 2015
592015
Simplified supervised i-vector modeling with application to robust and efficient language identification and speaker verification
M Li, S Narayanan
Computer Speech & Language 28 (4), 940-958, 2014
592014
Speaker verification using sparse representations on total variability i-vectors
M Li, X Zhang, Y Yan, S Narayanan
Twelfth Annual Conference of the International Speech Communication Association, 2011
582011
Robust real-time distributed optimal control based energy management in a smart grid
Y Xu, Z Yang, W Gu, M Li, Z Deng
IEEE Transactions on Smart Grid 8 (4), 1568-1579, 2015
542015
Facial Expression Recognition with Identity and Emotion Joint Learning
X Li, Ming and Xu, Hao and Huang, Xingchang and Song, Zhanmei and Liu ...
IEEE Transactions on Affective Computing, 2018
502018
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