| Wavlm: Large-scale self-supervised pre-training for full stack speech processing S Chen, C Wang, Z Chen, Y Wu, S Liu, Z Chen, J Li, N Kanda, T Yoshioka, ... IEEE Journal of Selected Topics in Signal Processing 16 (6), 1505-1518, 2022 | 1856 | 2022 |
| Large-scale self-supervised speech representation learning for automatic speaker verification Z Chen, S Chen, Y Wu, Y Qian, C Wang, S Liu, Y Qian, M Zeng ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 141 | 2022 |
| Wespeaker: A research and production oriented speaker embedding learning toolkit H Wang, C Liang, S Wang, Z Chen, B Zhang, X Xiang, Y Deng, Y Qian ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 118 | 2023 |
| Unispeech-sat: Universal speech representation learning with speaker aware pre-training S Chen, Y Wu, C Wang, Z Chen, Z Chen, S Liu, J Wu, Y Qian, F Wei, J Li, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 100 | 2022 |
| Audio-Visual Deep Neural Network for Robust Person Verification Y Qian, Z Chen, S Wang IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1079-1092, 2021 | 70 | 2021 |
| The SJTU robust anti-spoofing system for the ASVspoof 2019 challenge. Y Yang, H Wang, H Dinkel, Z Chen, S Wang, Y Qian, K Yu Interspeech, 1038-1042, 2019 | 61 | 2019 |
| Self-supervised learning based domain adaptation for robust speaker verification Z Chen, S Wang, Y Qian ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 48 | 2021 |
| Self-supervised speaker verification using dynamic loss-gate and label correction B Han, Z Chen, Y Qian arXiv preprint arXiv:2208.01928, 2022 | 38 | 2022 |
| Multi-modality Matters: A Performance Leap on VoxCeleb Z Chen, S Wang, Y Qian INTERSPEECH, 2252-2256, 2020 | 33 | 2020 |
| Adversarial Domain Adaptation for Speaker Verification using Partially Shared Network Z Chen, S Wang, Y Qian INTERSPEECH, 3017-3021, 2020 | 33 | 2020 |
| Self-knowledge distillation via feature enhancement for speaker verification B Liu, H Wang, Z Chen, S Wang, Y Qian ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 32 | 2022 |
| Local information modeling with self-attention for speaker verification B Han, Z Chen, Y Qian ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 27 | 2022 |
| DF-ResNet: Boosting Speaker Verification Performance with Depth-First Design. B Liu, Z Chen, S Wang, H Wang, B Han, Y Qian INTERSPEECH, 296-300, 2022 | 27 | 2022 |
| Self-supervised learning with cluster-aware-dino for high-performance robust speaker verification B Han, Z Chen, Y Qian IEEE/ACM Transactions on Audio, Speech, and Language Processing 32, 529-541, 2023 | 25 | 2023 |
| The sjtu x-lance lab system for cnsrc 2022 Z Chen, B Liu, B Han, L Zhang, Y Qian arXiv preprint arXiv:2206.11699, 2022 | 23 | 2022 |
| Channel invariant speaker embedding learning with joint multi-task and adversarial training Z Chen, S Wang, Y Qian, K Yu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 22 | 2020 |
| Attention-Based Encoder-Decoder End-to-End Neural Diarization With Embedding Enhancer Z Chen, B Han, S Wang, Y Qian IEEE/ACM Transactions on Audio, Speech, and Language Processing 32, 1636-1649, 2024 | 20 | 2024 |
| Attention-based Encoder-Decoder Network for End-to-End Neural Speaker Diarization with Target Speaker Attractor Z Chen, B Han, S Wang, Y Qian Proc. INTERSPEECH 2023, 3552--3556, 2023 | 20 | 2023 |
| A comprehensive study on self-supervised distillation for speaker representation learning Z Chen, Y Qian, B Han, Y Qian, M Zeng 2022 IEEE Spoken Language Technology Workshop (SLT), 599-604, 2023 | 18 | 2023 |
| Unsupervised anomalous detection based on unsupervised pretrained models Z Lv, B Han, Z Chen, Y Qian, J Ding, J Liu DCASE 2023 Challenge, Tech. Rep., 2023 | 16 | 2023 |
Yanmin QianProfessor, Shanghai Jiao Tong UniversityZweryfikowany adres z sjtu.edu.cn