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Ming Tu
Ming Tu
Research Scientist at Bytedance
Verifisert e-postadresse på bytedance.com
Tittel
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Sitert av
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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
1982020
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
1822019
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
902016
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
862018
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
80*2019
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
672020
Efficient neural music generation
MWY Lam, Q Tian, T Li, Z Yin, S Feng, M Tu, Y Ji, R Xia, M Ma, X Song, ...
Advances in Neural Information Processing Systems 36, 17450-17463, 2023
632023
Speech enhancement based on deep neural networks with skip connections
M Tu, X Zhang
2017 IEEE international conference on acoustics, speech and signal …, 2017
622017
Interpretable Objective Assessment of Dysarthric Speech Based on Deep Neural Networks.
M Tu, V Berisha, J Liss
Interspeech, 1849-1853, 2017
612017
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
462018
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
422016
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
392016
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
372016
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
362015
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
232019
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
212019
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
212016
Seed-asr: Understanding diverse speech and contexts with llm-based speech recognition
Y Bai, J Chen, J Chen, W Chen, Z Chen, C Ding, L Dong, Q Dong, Y Du, ...
arXiv preprint arXiv:2407.04675, 2024
152024
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, 1-17, 2019
152019
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
132018
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Artikler 1–20