| The NTT CHiME-3 system: Advances in speech enhancement and recognition for mobile multi-microphone devices T Yoshioka, N Ito, M Delcroix, A Ogawa, K Kinoshita, M Fujimoto, C Yu, ... 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 262 | 2015 |
| DurIAN: Duration Informed Attention Network For Speech Synthesis C Yu, H Lu, N Hu, M Yu, C Weng, K Xu, P Liu, D Tuo, S Kang, G Lei, D Su, ... Interspeech 2020, 2027-2031, 2020 | 201* | 2020 |
| An Investigation of Deep-Learning Frameworks for Speaker Verification Antispoofing C Zhang, C Yu, JHL Hansen IEEE Journal of Selected Topics in Signal Processing 11 (4), 684-694, 2017 | 151 | 2017 |
| Advances in all-neural speech recognition G Zweig, C Yu, J Droppo, A Stolcke 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 130 | 2017 |
| Improving Attention Based Sequence-to-Sequence Models for End-to-End English Conversational Speech Recognition. C Weng, J Cui, G Wang, J Wang, C Yu, D Su, D Yu Interspeech, 761-765, 2018 | 61 | 2018 |
| Uncertainty propagation in front end factor analysis for noise robust speaker recognition C Yu, G Liu, S Hahm, JHL Hansen 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 59 | 2014 |
| Fearless Steps: Apollo-11 Corpus Advancements for Speech Technologies from Earth to the Moon. JHL Hansen, A Sangwan, A Joglekar, AE Bulut, L Kaushik, C Yu Interspeech, 2758-2762, 2018 | 53 | 2018 |
| Seq2Seq Attentional Siamese Neural Networks for Text-dependent Speaker Verification Y Zhang, M Yu, N Li, C Yu, J Cui, D Yu ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 51 | 2019 |
| Context adaptive deep neural networks for fast acoustic model adaptation in noisy conditions M Delcroix, K Kinoshita, C Yu, A Ogawa, T Yoshioka, T Nakatani 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 51 | 2016 |
| The 2019 inaugural fearless steps challenge: A giant leap for naturalistic audio JHL Hansen, A Joglekar, MC Shekhar, V Kothapally, C Yu, L Kaushik, ... ISCA INTERSPEECH-2019, 2019 | 45 | 2019 |
| Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching CK Yeh, J Chen, C Yu, D Yu arXiv preprint arXiv:1812.09323, 2018 | 45 | 2018 |
| Pitchnet: Unsupervised Singing Voice Conversion with Pitch Adversarial Network C Deng, C Yu, H Lu, C Weng, D Yu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 44 | 2020 |
| Active Learning Based Constrained Clustering For Speaker Diarization C Yu, JHL Hansen IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (11 …, 2017 | 41 | 2017 |
| Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognition C Weng, C Yu, J Cui, C Zhang, D Yu arXiv preprint arXiv:1911.12487, 2019 | 38 | 2019 |
| 'houston, we have a solution': using NASA apollo program to advance speech and language processing technology. A Sangwan, L Kaushik, C Yu, JHL Hansen, DW Oard INTERSPEECH, 1135-1139, 2013 | 38 | 2013 |
| DurIAN-SC: Duration Informed Attention Network based Singing Voice Conversion System L Zhang, C Yu, H Lu, C Weng, C Zhang, Y Wu, X Xie, Z Li, D Yu arXiv preprint arXiv:2008.03009, 2020 | 34 | 2020 |
| Robust i-vector extraction for neural network adaptation in noisy environment C Yu, A Ogawa, M Delcroix, T Yoshioka, T Nakatani, JHL Hansen International Speech and Communication Association, 2015 | 30 | 2015 |
| A Multistage Training Framework for Acoustic-to-Word Model. C Yu, C Zhang, C Weng, J Cui, D Yu Interspeech, 786-790, 2018 | 29 | 2018 |
| Robust Harmonic Features for Classification-Based Pitch Estimation D Wang, C Yu, JHL Hansen IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (5), 952-964, 2017 | 29 | 2017 |
| Language recognition using deep neural networks with very limited training data S Ranjan, C Yu, C Zhang, F Kelly, JHL Hansen 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 27 | 2016 |
John HansenAssociate Dean for Research; Erik Jonsson School of Engineering, University of Texas at Dallas在 utdallas.edu 的电子邮件经过验证
