Ming Tu
Ming Tu
Research Scientist at Bytedance
Verified email at bytedance.com
Title
Cited by
Cited by
Year
Convex weighting criteria for speaking rate estimation
Y Jiao, V Berisha, M Tu, J Liss
IEEE/ACM transactions on audio, speech, and language processing 23 (9), 1421 …, 2015
252015
Interpretable Objective Assessment of Dysarthric Speech Based on Deep Neural Networks.
M Tu, V Berisha, J Liss
INTERSPEECH, 1849-1853, 2017
242017
Speech enhancement based on deep neural networks with skip connections
M Tu, X Zhang
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
242017
Accent Identification by Combining Deep Neural Networks and Recurrent Neural Networks Trained on Long and Short Term Features.
Y Jiao, M Tu, V Berisha, JM Liss
Interspeech, 2388-2392, 2016
232016
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs
M Tu, G Wang, J Huang, Y Tang, X He, B Zhou
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
192019
Objective assessment of pathological speech using distribution regression
M Tu, V Berisha, J Liss
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
122017
The relationship between perceptual disturbances in dysarthric speech and automatic speech recognition performance
M Tu, A Wisler, V Berisha, JM Liss
The Journal of the Acoustical Society of America 140 (5), EL416-EL422, 2016
122016
Online speaking rate estimation using recurrent neural networks
Y Jiao, M Tu, V Berisha, J Liss
2016 ieee international conference on acoustics, speech and signal …, 2016
122016
Ranking the parameters of deep neural networks using the fisher information
M Tu, V Berisha, M Woolf, J Seo, Y Cao
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
112016
Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents.
M Tu, K Huang, G Wang, J Huang, X He, B Zhou
AAAI, 9073-9080, 2020
102020
Investigating the role of L1 in automatic pronunciation evaluation of L2 speech
M Tu, A Grabek, J Liss, V Berisha
Proc. Interspeech 2018, 1636-1640, 2018
102018
Simulating dysarthric speech for training data augmentation in clinical speech applications
Y Jiao, M Tu, V Berisha, J Liss
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
92018
Reducing the model order of deep neural networks using information theory
M Tu, V Berisha, Y Cao, J Seo
2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 93-98, 2016
92016
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences
KA Lee, V Hautamaki, T Kinnunen, H Yamamoto, K Okabe, V Vestman, ...
arXiv preprint arXiv:1904.07386, 2019
72019
Towards adversarial learning of speaker-invariant representation for speech emotion recognition
M Tu, Y Tang, J Huang, X He, B Zhou
arXiv preprint arXiv:1903.09606, 2019
62019
Models for objective evaluation of dysarthric speech from data annotated by multiple listeners
M Tu, Y Jiao, V Berisha, JM Liss
2016 50th Asilomar Conference on Signals, Systems and Computers, 827-830, 2016
62016
Towards improving statistical model based voice activity detection
M Tu, X Xie, Y Jiao
Fifteenth annual conference of the international speech communication …, 2014
62014
Multiple instance learning based on graph neural networks
M Tu, J Huang, X He, B Zhou
ICML 2019 workshop on Learning and Reasoning with Graph-Structured …, 2019
4*2019
A Discriminative Acoustic-Prosodic Approach for Measuring Local Entrainment
MM Willi, SA Borrie, TS Barrett, M Tu, V Berisha
Proc. Interspeech 2018, 581-585, 2018
42018
Computational auditory scene analysis based voice activity detection
M Tu, X Xie, X Na
2014 22nd International Conference on Pattern Recognition, 797-802, 2014
42014
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