| Attentive statistics pooling for deep speaker embedding K Okabe, T Koshinaka, K Shinoda arXiv preprint arXiv:1803.10963, 2018 | 667 | 2018 |
| Speaker Augmentation and Bandwidth Extension for Deep Speaker Embedding. H Yamamoto, KA Lee, K Okabe, T Koshinaka Interspeech, 406-410, 2019 | 64 | 2019 |
| Measurement of Objective Intelligibility of Japanese Accented English Using ERJ (English Read by Japanese) Database. N Minematsu, K Okabe, K Ogaki, K Hirose INTERSPEECH, 1481-1484, 2011 | 45 | 2011 |
| Speaker detection in the wild: Lessons learned from JSALT 2019 P García, J Villalba, H Bredin, J Du, D Castan, A Cristia, L Bullock, L Guo, ... arXiv preprint arXiv:1912.00938, 2019 | 38 | 2019 |
| Attention mechanism in speaker recognition: What does it learn in deep speaker embedding? Q Wang, K Okabe, KA Lee, H Yamamoto, T Koshinaka 2018 IEEE Spoken Language Technology Workshop (SLT), 1052-1059, 2018 | 37 | 2018 |
| I4U submission to NIST SRE 2018: Leveraging from a decade of shared experiences KA Lee, V Hautamaki, T Kinnunen, H Yamamoto, K Okabe, V Vestman, ... arXiv preprint arXiv:1904.07386, 2019 | 23 | 2019 |
| NEC-TT system for mixed-bandwidth and multi-domain speaker recognition KA Lee, H Yamamoto, K Okabe, Q Wang, L Guo, T Koshinaka, J Zhang, ... Computer Speech & Language 61, 101033, 2020 | 22 | 2020 |
| Analysis object determination device, analysis object determination method and computer-readable medium K Okabe, Y Onishi, M Terao, M Tani US Patent 10,083,686, 2018 | 20 | 2018 |
| Conversation analysis device and conversation analysis method Y Onishi, M Terao, M Tani, K Okabe US Patent App. 14/438,953, 2015 | 20 | 2015 |
| A generalized framework for domain adaptation of plda in speaker recognition Q Wang, K Okabe, KA Lee, T Koshinaka ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 18 | 2020 |
| The NEC-TT 2018 Speaker Verification System. KA Lee, H Yamamoto, K Okabe, Q Wang, L Guo, T Koshinaka, J Zhang, ... Interspeech, 4355-4359, 2019 | 16 | 2019 |
| Robust i-vector extraction tightly coupled with voice activity detection using deep neural networks H Yamamoto, K Okabe, T Koshinaka 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 11 | 2017 |
| Expression classification device, expression classification method, dissatisfaction detection device, dissatisfaction detection method, and medium M Terao, Y Onishi, K Okabe, M Tani US Patent App. 14/438,661, 2015 | 10 | 2015 |
| NEC-TT Speaker Verification System for SRE'19 CTS Challenge. KA Lee, K Okabe, H Yamamoto, Q Wang, L Guo, T Koshinaka, J Zhang, ... INTERSPEECH, 2227-2231, 2020 | 8 | 2020 |
| Generalized domain adaptation framework for parametric back-end in speaker recognition Q Wang, K Okabe, KA Lee, T Koshinaka IEEE Transactions on Information Forensics and Security 18, 3936-3947, 2023 | 7 | 2023 |
| Kong Aik Lee, and Takafumi Koshinaka,“ Q Wang, K Okabe A generalized framework for domain adaptation of plda in speaker recognition …, 2020 | 7 | 2020 |
| Task-aware warping factors in mask-based speech enhancement Q Wang, KA Lee, T Koshinaka, K Okabe, H Yamamoto 2021 29th European Signal Processing Conference (EUSIPCO), 476-480, 2021 | 6 | 2021 |
| Dissatisfying conversation determination device and dissatisfying conversation determination method Y Onishi, M Terao, M Tani, K Okabe US Patent App. 14/438,720, 2015 | 5 | 2015 |
| Signal processing system, signal processing device, signal processing method, and recording medium K Okabe, T Koshinaka US Patent 11,842,741, 2023 | 3 | 2023 |
| Speech recognition system, speech recognition method, and speech recognition program S Osada, K Hanazawa, K Okabe US Patent App. 13/994,462, 2013 | 3 | 2013 |
Kong Aik LeeThe Hong Kong Polytechnic University, Hong Kong確認したメール アドレス: ieee.org
