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Ming Tu
Ming Tu
Research Scientist at Bytedance
E-mail confirmado em bytedance.com
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Citado por
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Ano
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
1062019
Select, answer and explain: Interpretable multi-hop reading comprehension over multiple documents
M Tu, K Huang, G Wang, J Huang, X He, B Zhou
Proceedings of the AAAI conference on artificial intelligence 34 (05), 9073-9080, 2020
952020
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
522016
Speech enhancement based on deep neural networks with skip connections
M Tu, X Zhang
2017 IEEE international conference on acoustics, speech and signal …, 2017
462017
Interpretable Objective Assessment of Dysarthric Speech Based on Deep Neural Networks.
M Tu, V Berisha, J Liss
Interspeech, 1849-1853, 2017
372017
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
362018
Speaker-invariant affective representation learning via adversarial training
H Li, M Tu, J Huang, S Narayanan, P Georgiou
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
342020
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
312015
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
262018
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
25*2019
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
212019
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
212016
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
212016
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
182016
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
172016
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
152019
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
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
72018
Improving voice quality of HMM-based speech synthesis using voice conversion method
Y Jiao, X Xie, X Na, M Tu
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
72014
Articulation constrained learning with application to speech emotion recognition
M Shah, M Tu, V Berisha, C Chakrabarti, A Spanias
EURASIP journal on audio, speech, and music processing 2019 (1), 1-17, 2019
62019
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