| 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 | 586 | 2022 |
| 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 | 243 | 2020 |
| A review of speaker diarization: Recent advances with deep learning TJ Park, N Kanda, D Dimitriadis, KJ Han, S Watanabe, S Narayanan Computer Speech & Language 72, 101317, 2022 | 204 | 2022 |
| End-to-end neural speaker diarization with self-attention Y Fujita, N Kanda, S Horiguchi, Y Xue, K Nagamatsu, S Watanabe 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 190 | 2019 |
| End-to-end neural speaker diarization with permutation-free objectives Y Fujita, N Kanda, S Horiguchi, K Nagamatsu, S Watanabe arXiv preprint arXiv:1909.05952, 2019 | 186 | 2019 |
| Elastic spectral distortion for low resource speech recognition with deep neural networks N Kanda, R Takeda, Y Obuchi Automatic Speech Recognition and Understanding (ASRU), 2013 IEEE Workshop on …, 2013 | 131 | 2013 |
| Internal language model estimation for domain-adaptive end-to-end speech recognition Z Meng, S Parthasarathy, E Sun, Y Gaur, N Kanda, L Lu, X Chen, R Zhao, ... 2021 IEEE Spoken Language Technology Workshop (SLT), 243-250, 2021 | 81 | 2021 |
| Serialized output training for end-to-end overlapped speech recognition N Kanda, Y Gaur, X Wang, Z Meng, T Yoshioka arXiv preprint arXiv:2003.12687, 2020 | 71 | 2020 |
| A two-layer model for behavior and dialogue planning in conversational service robots M Nakano, Y Hasegawa, K Nakadai, T Nakamura, J Takeuchi, T Torii, ... 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2005 | 68 | 2005 |
| Integration of speech separation, diarization, and recognition for multi-speaker meetings: System description, comparison, and analysis D Raj, P Denisov, Z Chen, H Erdogan, Z Huang, M He, S Watanabe, J Du, ... 2021 IEEE spoken language technology workshop (SLT), 897-904, 2021 | 65 | 2021 |
| Guided source separation meets a strong ASR backend: Hitachi/Paderborn University joint investigation for dinner party ASR N Kanda, C Boeddeker, J Heitkaemper, Y Fujita, S Horiguchi, ... arXiv preprint arXiv:1905.12230, 2019 | 62 | 2019 |
| Microsoft speaker diarization system for the voxceleb speaker recognition challenge 2020 X Xiao, N Kanda, Z Chen, T Zhou, T Yoshioka, S Chen, Y Zhao, G Liu, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 58 | 2021 |
| Maximum a posteriori Based Decoding for CTC Acoustic Models N Kanda, X Lu, H Kawai Interspeech 2016, 1868-1872, 2016 | 53 | 2016 |
| Joint speaker counting, speech recognition, and speaker identification for overlapped speech of any number of speakers N Kanda, Y Gaur, X Wang, Z Meng, Z Chen, T Zhou, T Yoshioka arXiv preprint arXiv:2006.10930, 2020 | 52 | 2020 |
| The Hitachi/JHU CHiME-5 system: Advances in speech recognition for everyday home environments using multiple microphone arrays N Kanda, R Ikeshita, S Horiguchi, Y Fujita, K Nagamatsu, X Wang, ... Proc. CHiME-5, 6-10, 2018 | 52 | 2018 |
| Multi-domain spoken dialogue system with extensibility and robustness against speech recognition errors K Komatani, N Kanda, M Nakano, K Nakadai, H Tsujino, T Ogata, ... Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue, 9-17, 2006 | 52 | 2006 |
| A multi-expert model for dialogue and behavior control of conversational robots and agents M Nakano, Y Hasegawa, K Funakoshi, J Takeuchi, T Torii, K Nakadai, ... Knowledge-Based Systems 24 (2), 248-256, 2011 | 46 | 2011 |
| Acoustic modeling for distant multi-talker speech recognition with single-and multi-channel branches N Kanda, Y Fujita, S Horiguchi, R Ikeshita, K Nagamatsu, S Watanabe ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 43 | 2019 |
| Internal language model training for domain-adaptive end-to-end speech recognition Z Meng, N Kanda, Y Gaur, S Parthasarathy, E Sun, L Lu, X Chen, J Li, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 39 | 2021 |
| Face-voice matching using cross-modal embeddings S Horiguchi, N Kanda, K Nagamatsu Proceedings of the 26th ACM international conference on Multimedia, 1011-1019, 2018 | 39 | 2018 |
Xiaofei WangMicrosoftПотвърден имейл адрес: jhu.edu
