| 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 | 328 | 2020 |
| 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 | 271 | 2019 |
| End-to-end neural speaker diarization with permutation-free objectives Y Fujita, N Kanda, S Horiguchi, K Nagamatsu, S Watanabe Interspeech, 4300-4304, 2019 | 265 | 2019 |
| End-to-end speaker diarization for an unknown number of speakers with encoder-decoder based attractors S Horiguchi, Y Fujita, S Watanabe, Y Xue, K Nagamatsu arXiv preprint arXiv:2005.09921, 2020 | 190 | 2020 |
| Speaker diarization with region proposal network Z Huang, S Watanabe, Y Fujita, P García, Y Shao, D Povey, S Khudanpur ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 76 | 2020 |
| 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 | 72 | 2019 |
| Encoder-decoder based attractors for end-to-end neural diarization S Horiguchi, Y Fujita, S Watanabe, Y Xue, P Garcia IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 1493-1507, 2022 | 59 | 2022 |
| 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 | 54 | 2018 |
| Online end-to-end neural diarization with speaker-tracing buffer Y Xue, S Horiguchi, Y Fujita, S Watanabe, P García, K Nagamatsu 2021 IEEE Spoken Language Technology Workshop (SLT), 841-848, 2021 | 52 | 2021 |
| End-to-end neural diarization: Reformulating speaker diarization as simple multi-label classification Y Fujita, S Watanabe, S Horiguchi, Y Xue, K Nagamatsu arXiv preprint arXiv:2003.02966, 2020 | 51 | 2020 |
| Neural speaker diarization with speaker-wise chain rule Y Fujita, S Watanabe, S Horiguchi, Y Xue, J Shi, K Nagamatsu arXiv preprint arXiv:2006.01796, 2020 | 46 | 2020 |
| 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 | 45 | 2019 |
| End-to-end speaker diarization as post-processing S Horiguchi, P Garcia, Y Fujita, S Watanabe, K Nagamatsu ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 44 | 2021 |
| Simultaneous speech recognition and speaker diarization for monaural dialogue recordings with target-speaker acoustic models N Kanda, S Horiguchi, Y Fujita, Y Xue, K Nagamatsu, S Watanabe 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 31-38, 2019 | 43 | 2019 |
| The Hitachi-JHU DIHARD III system: Competitive end-to-end neural diarization and x-vector clustering systems combined by DOVER-Lap S Horiguchi, N Yalta, P Garcia, Y Takashima, Y Xue, D Raj, Z Huang, ... arXiv preprint arXiv:2102.01363, 2021 | 41 | 2021 |
| Auxiliary interference speaker loss for target-speaker speech recognition N Kanda, S Horiguchi, R Takashima, Y Fujita, K Nagamatsu, S Watanabe arXiv preprint arXiv:1906.10876, 2019 | 36 | 2019 |
| Lattice-free State-level Minimum Bayes Risk Training of Acoustic Models. N Kanda, Y Fujita, K Nagamatsu Interspeech, 2923-2927, 2018 | 32 | 2018 |
| Acoustic modeling for overlapping speech recognition: JHU CHiME-5 challenge system V Manohar, SJ Chen, Z Wang, Y Fujita, S Watanabe, S Khudanpur ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 29 | 2019 |
| Speaker-conditional chain model for speech separation and extraction J Shi, J Xu, Y Fujita, S Watanabe, B Xu arXiv preprint arXiv:2006.14149, 2020 | 28 | 2020 |
| Investigation of lattice-free maximum mutual information-based acoustic models with sequence-level Kullback-Leibler divergence N Kanda, Y Fujita, K Nagamatsu 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 69-76, 2017 | 28 | 2017 |
Shinji WatanabeCarnegie Mellon UniversityVerified email at cmu.edu
