| 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 | 148 | 2020 |
| 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 | 43 | 2017 |
| 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 | 12 | 2022 |
| 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 | 11 | 2014 |
| Combining spatial clustering with LSTM speech models for multichannel speech enhancement F Grezes, Z Ni, VA Trinh, M Mandel arXiv preprint arXiv:2012.03388, 2020 | 4 | 2020 |
| Mask-dependent phase estimation for monaural speaker separation Z Ni, MI Mandel ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 4 | 2020 |
| Onssen: an open-source speech separation and enhancement library Z Ni, MI Mandel arXiv preprint arXiv:1911.00982, 2019 | 4 | 2019 |
| 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 | 3 | 2021 |
| Sound signal processing based on seq2tree network W Ma, K Cao, Z Ni, X Ni, S Chin Proceedings of Interspeech workshop on Vocal Interactivity in-andbetween …, 2017 | 3 | 2017 |
| 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 | 2 | 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 | 1 | 2022 |
| Unusable spoken response detection with blstm neural networks Z Ni, R Ubale, Y Qian, M Mandel, SY Yoon, A Misra, D Suendermann-Oeft 2018 11th International Symposium on Chinese Spoken Language Processing …, 2018 | 1 | 2018 |
| Enhancement of Spatial Clustering-Based Time-Frequency Masks using LSTM Neural Networks F Grezes, Z Ni, VA Trinh, M Mandel arXiv preprint arXiv:2012.01576, 2020 | | 2020 |
| Improved MVDR Beamforming Using LSTM Speech Models to Clean Spatial Clustering Masks Z Ni, F Grezes, VA Trinh, MI Mandel arXiv preprint arXiv:2012.02191, 2020 | | 2020 |
| CUNY Speech Diarization System for the CHiME-6 Challenge Z Ni, MI Mandel Proc. The 6th International Workshop on Speech Processing in Everyday …, 2020 | | 2020 |
| Sound Signal Processing with Seq2Tree Network W Ma, K Cao, Z Ni, P Chin, X Li Proceedings of the Eleventh International Conference on Language Resources …, 2018 | | 2018 |
| A Sep2Tree Model for Recognizing Synthetic Bach Chorales X Ni, W Ma, Z Ni, RM Haralick ICMC, 2017 | | 2017 |
Michael I MandelAssociate Professor of Computer and Information Science at Brooklyn College, CUNYVerified email at sci.brooklyn.cuny.edu
