| Complex spectral mapping for single-and multi-channel speech enhancement and robust ASR ZQ Wang, P Wang, DL Wang IEEE/ACM transactions on audio, speech, and language processing 28, 1778-1787, 2020 | 147 | 2020 |
| Multi-microphone complex spectral mapping for utterance-wise and continuous speech separation ZQ Wang, P Wang, DL Wang IEEE/ACM transactions on audio, speech, and language processing 29, 2001-2014, 2021 | 64 | 2021 |
| Bridging the gap between monaural speech enhancement and recognition with distortion-independent acoustic modeling P Wang, K Tan, DL Wang IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 39-48, 2019 | 47 | 2019 |
| Speech separation using speaker inventory P Wang, Z Chen, X Xiao, Z Meng, T Yoshioka, T Zhou, L Lu, J Li 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 31 | 2019 |
| Multitask training with text data for end-to-end speech recognition P Wang, TN Sainath, RJ Weiss Proc. of Interspeech, 2566--2570, 2021 | 24 | 2021 |
| Why does self-supervised learning for speech recognition benefit speaker recognition? S Chen, Y Wu, C Wang, S Liu, Z Chen, P Wang, G Liu, J Li, J Wu, X Yu, ... arXiv preprint arXiv:2204.12765, 2022 | 23 | 2022 |
| Improving Attention-Based End-to-End ASR Systems with Sequence-Based Loss Functions J Cui, C Weng, G Wang, J Wang, P Wang, C Yu, D Su, D Yu 2018 IEEE Spoken Language Technology Workshop (SLT), 353-360, 2018 | 15 | 2018 |
| Utterance-Wise Recurrent Dropout and Iterative Speaker Adaptation for Robust Monaural Speech Recognition P Wang, DL Wang Acoustics, Speech and Signal Processing (ICASSP), 2018 IEEE International …, 2018 | 13 | 2018 |
| Speaker separation using speaker inventories and estimated speech P Wang, Z Chen, DL Wang, J Li, Y Gong IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 537-546, 2020 | 11 | 2020 |
| Enhanced Spectral Features for Distortion-Independent Acoustic Modeling P Wang, DL Wang Proc. of INTERSPEECH 2019, 476-480, 2019 | 11 | 2019 |
| Filter-and-Convolve: A CNN Based Multichannel Complex Concatenation Acoustic Model P Wang, DL Wang Acoustics, Speech and Signal Processing (ICASSP), 2018 IEEE International …, 2018 | 9 | 2018 |
| Large-scale streaming end-to-end speech translation with neural transducers J Xue, P Wang, J Li, M Post, Y Gaur arXiv preprint arXiv:2204.05352, 2022 | 8 | 2022 |
| Improving Speech Recognition Error Prediction for Modern and Off-the-Shelf Speech Recognizers P Serai, P Wang, E Fosler-Lussier Acoustics, Speech and Signal Processing (ICASSP), 2019 IEEE International …, 2019 | 8 | 2019 |
| A conformer based acoustic model for robust automatic speech recognition Y Yang, P Wang, DL Wang arXiv preprint arXiv:2203.00725, 2022 | 7 | 2022 |
| Large Margin Training for Attention Based End-to-End Speech Recognition P Wang, J Cui, C Weng, D Yu Proc. of INTERSPEECH 2019, 246-250, 2019 | 7 | 2019 |
| Efficient end-to-end speech recognition using performers in conformers P Wang, DL Wang arXiv e-prints, arXiv: 2011.04196, 2020 | 6 | 2020 |
| Continuous speech separation with recurrent selective attention network Y Zhang, Z Chen, J Wu, T Yoshioka, P Wang, Z Meng, J Li ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
| A weakly-supervised streaming multilingual speech model with truly zero-shot capability J Xue, P Wang, J Li, E Sun arXiv preprint arXiv:2211.02499, 2022 | 4 | 2022 |
| Token-wise Training for Attention Based End-to-end Speech Recognition P Wang, J Cui, C Weng, D Yu Acoustics, Speech and Signal Processing (ICASSP), 2019 IEEE International …, 2019 | 4 | 2019 |
| Token-Level Serialized Output Training for Joint Streaming ASR and ST Leveraging Textual Alignments S Papi, P Wang, J Chen, J Xue, J Li, Y Gaur arXiv preprint arXiv:2307.03354, 2023 | 1 | 2023 |
Jinyu LiPartner Applied Scientist, MicrosoftVerified email at microsoft.com
