| CHiME-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings S Watanabe, M Mandel, J Barker, E Vincent, A Arora, X Chang, ... arXiv preprint arXiv:2004.09249, 2020 | 362 | 2020 |
| Scaling speech technology to 1,000+ languages V Pratap, A Tjandra, B Shi, P Tomasello, A Babu, S Kundu, A Elkahky, ... Journal of Machine Learning Research 25 (97), 1-52, 2024 | 295 | 2024 |
| TorchAudio: Building Blocks for Audio and Speech Processing YY Yang, M Hira, Z Ni, A Chourdia, A Astafurov, C Chen, CF Yeh, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 216 | 2022 |
| Confused or not confused? Disentangling brain activity from EEG data using bidirectional LSTM recurrent neural networks Z Ni, AC Yuksel, X Ni, MI Mandel, L Xie Proceedings of the 8th acm international conference on bioinformatics …, 2017 | 84 | 2017 |
| Torchaudio-squim: Reference-less speech quality and intelligibility measures in torchaudio A Kumar, K Tan, Z Ni, P Manocha, X Zhang, E Henderson, B Xu ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 41 | 2023 |
| A time-frequency attention module for neural speech enhancement Q Zhang, X Qian, Z Ni, A Nicolson, E Ambikairajah, H Li IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 462-475, 2022 | 39 | 2022 |
| Time-frequency attention for monaural speech enhancement Q Zhang, Q Song, Z Ni, A Nicolson, H Li ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 31 | 2022 |
| Towards low-distortion multi-channel speech enhancement: The ESPNet-SE submission to the L3DAS22 challenge YJ Lu, S Cornell, X Chang, W Zhang, C Li, Z Ni, ZQ Wang, S Watanabe ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 30 | 2022 |
| ESPnet-SE++: Speech enhancement for robust speech recognition, translation, and understanding YJ Lu, X Chang, C Li, W Zhang, S Cornell, Z Ni, Y Masuyama, B Yan, ... Interspeech 2022, 5458--5462, 2022 | 29 | 2022 |
| Reducing Barriers to Self-Supervised Learning: HuBERT Pre-training with Academic Compute W Chen, X Chang, Y Peng, Z Ni, S Maiti, S Watanabe Proc. INTERSPEECH 2023, 4404--4408, 2023 | 27 | 2023 |
| TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch J Hwang, M Hira, C Chen, X Zhang, Z Ni, G Sun, P Ma, R Huang, V Pratap, ... 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-9, 2023 | 16 | 2023 |
| Anatomical entity recognition with a hierarchical framework augmented by external resources Y Xu, J Hua, Z Ni, Q Chen, Y Fan, S Ananiadou, EIC Chang, J Tsujii PloS one 9 (10), e108396, 2014 | 14 | 2014 |
| ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit B Yan, J Shi, Y Tang, H Inaguma, Y Peng, S Dalmia, P Polák, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 13 | 2023 |
| Foleygen: Visually-guided audio generation X Mei, V Nagaraja, G Le Lan, Z Ni, E Chang, Y Shi, V Chandra 2024 IEEE 34th International Workshop on Machine Learning for Signal …, 2024 | 11 | 2024 |
| An empirical study on the impact of positional encoding in transformer-based monaural speech enhancement Q Zhang, M Ge, H Zhu, E Ambikairajah, Q Song, Z Ni, H Li ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 11 | 2024 |
| WPD++: An improved neural beamformer for simultaneous speech separation and dereverberation Z Ni, Y Xu, M Yu, B Wu, S Zhang, D Yu, MI Mandel 2021 IEEE Spoken Language Technology Workshop (SLT), 817-824, 2021 | 9 | 2021 |
| Stack-and-delay: a new codebook pattern for music generation G Le Lan, V Nagaraja, E Chang, D Kant, Z Ni, Y Shi, F Iandola, V Chandra ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 8 | 2024 |
| Mask-dependent phase estimation for monaural speaker separation Z Ni, MI Mandel ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 6 | 2020 |
| Onssen: an open-source speech separation and enhancement library Z Ni, MI Mandel arXiv preprint arXiv:1911.00982, 2019 | 6 | 2019 |
| Less Peaky and More Accurate CTC Forced Alignment by Label Priors R Huang, X Zhang, Z Ni, L Sun, M Hira, J Hwang, V Manohar, V Pratap, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 5 | 2024 |
Shinji WatanabeCarnegie Mellon UniversityVerified email at cmu.edu