| End-to-End Text-Independent Speaker Verification with Triplet Loss on Short Utterances C Zhang, K Koishida INTERSPEECH 2017, 2017 | 278 | 2017 |
| Text-independent Speaker Verification Based on Triplet Convolutional Neural Network Embeddings C Zhang, K Koishida, JHL Hansen IEEE Transactions on Audio, Speech and Language Processing, 2018 | 189 | 2018 |
| 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 | 152 | 2017 |
| Self-supervised text-independent speaker verification using prototypical momentum contrastive learning W Xia, C Zhang, C Weng, M Yu, D Yu ICASSP 2021-2021 IEEE international conference on acoustics, speech and …, 2021 | 86 | 2021 |
| Convolutional Neural Network Based Speaker De-Identification. F Bahmaninezhad, C Zhang, JHL Hansen Odyssey, 255-260, 2018 | 53 | 2018 |
| Robust disentangled variational speech representation learning for zero-shot voice conversion J Lian, C Zhang, D Yu ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 47 | 2022 |
| Speaker-aware target speaker enhancement by jointly learning with speaker embedding extraction X Ji, M Yu, C Zhang, D Su, T Yu, X Liu, D Yu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 42 | 2020 |
| 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 | 40 | 2019 |
| 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 | 35 | 2020 |
| UTD-CRSS Systems for 2018 NIST Speaker Recognition Evaluation C Zhang, F Bahmaninezhad, S Ranjan, H Dubey, W Xia, JHL Hansen ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 35 | 2019 |
| A Study of Speaker Verification Performance with Expressive Speech S Parthasarathy, C Zhang, J H.L. Hansen, C Busso IEEE International Conference on Acoustics, Speech and Signal Processing …, 2017 | 35 | 2017 |
| Joint information from nonlinear and linear features for spoofing detection: An i-vector/DNN based approach C Zhang, S Ranjan, MK Nandwana, Q Zhang, A Misra, G Liu, F Kelly, ... 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 34 | 2016 |
| Metricnet: Towards improved modeling for non-intrusive speech quality assessment M Yu, C Zhang, Y Xu, S Zhang, D Yu arXiv preprint arXiv:2104.01227, 2021 | 33 | 2021 |
| EEND-SS: Joint end-to-end neural speaker diarization and speech separation for flexible number of speakers S Maiti, Y Ueda, S Watanabe, C Zhang, M Yu, SX Zhang, Y Xu 2022 IEEE Spoken Language Technology Workshop (SLT), 480-487, 2023 | 29 | 2023 |
| A Multistage Training Framework For Acoustic-to-Word Model C Yu, C Zhang, C Weng, J Cui, D Yu INTERSPEECH 2018, 2018 | 29 | 2018 |
| 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 |
| Make-a-voice: Unified voice synthesis with discrete representation R Huang, C Zhang, Y Wang, D Yang, L Liu, Z Ye, Z Jiang, C Weng, ... arXiv preprint arXiv:2305.19269, 2023 | 26 | 2023 |
| The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016 KA Lee, V Hautamaki, T Kinnunen, A Larcher, C Zhang, et al. INTETSPEECH 2017, 2017 | 26 | 2017 |
| An Analysis of Transfer Learning for Domain Mismatched Text-independent Speaker Verification. C Zhang, S Ranjan, JHL Hansen Odyssey, 181-186, 2018 | 24 | 2018 |
| 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 | 23 | 2019 |
Dong Yu (俞栋)Distinguished Scientist @ Tencent AI Lab, ACM/IEEE/ISCA FellowEmail verificata su global.tencent.com