| 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 | 106 | 2019 |
| 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 | 95 | 2020 |
| 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 | 52 | 2016 |
| Speech enhancement based on deep neural networks with skip connections M Tu, X Zhang 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 46 | 2017 |
| Interpretable Objective Assessment of Dysarthric Speech Based on Deep Neural Networks. M Tu, V Berisha, J Liss Interspeech, 1849-1853, 2017 | 37 | 2017 |
| 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 | 36 | 2018 |
| 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 | 34 | 2020 |
| 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 | 31 | 2015 |
| 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 | 26 | 2018 |
| 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 | 21 | 2019 |
| 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 | 21 | 2016 |
| 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 | 21 | 2016 |
| 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 | 18 | 2016 |
| 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 | 17 | 2016 |
| 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 | 15 | 2019 |
| Objective assessment of pathological speech using distribution regression M Tu, V Berisha, J Liss 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 12 | 2017 |
| 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 | 7 | 2018 |
| 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 | 7 | 2014 |
| 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 | 6 | 2019 |
Visar BerishaAssociate Professor, School of ECEE and College of Health Solutions, Arizona State UniversityE-mail confirmado em asu.edu
