| The CORAL+ algorithm for unsupervised domain adaptation of PLDA KA Lee, Q Wang, T Koshinaka ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 87 | 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 |
| Xi-vector embedding for speaker recognition KA Lee, Q Wang, T Koshinaka IEEE Signal Processing Letters 28, 1385-1389, 2021 | 35 | 2021 |
| Disentangling voice and content with self-supervision for speaker recognition T Liu, KA Lee, Q Wang, H Li Advances in Neural Information Processing Systems 36, 50221-50236, 2023 | 31 | 2023 |
| 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 |
| 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 | 22* | 2020 |
| 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 |
| Scoring of large-margin embeddings for speaker verification: Cosine or PLDA? Q Wang, KA Lee, T Liu arXiv preprint arXiv:2204.03965, 2022 | 20 | 2022 |
| 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 |
| Domain adaptation using maximum likelihood linear transformation for PLDA-based speaker verification Q Wang, H Yamamoto, T Koshinaka 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 15 | 2016 |
| Golden Gemini is All You Need: Finding the Sweet Spots for Speaker Verification T Liu, KA Lee, Q Wang, H Li IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 14 | 2024 |
| Attentive Merging of Hidden Embeddings from Pre-trained Speech Model for Anti-spoofing Detection Z Pan, T Liu, HB Sailor, Q Wang arXiv preprint arXiv:2406.10283, 2024 | 8 | 2024 |
| 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 |
| Incorporating Uncertainty from Speaker Embedding Estimation to Speaker Verification Q Wang, KA Lee, T Liu ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 7 | 2023 |
| 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 | 5 | 2021 |
| Speech foundation model ensembles for the controlled singing voice deepfake detection (ctrsvdd) challenge 2024 A Guragain, T Liu, Z Pan, HB Sailor, Q Wang 2024 IEEE Spoken Language Technology Workshop (SLT), 774-781, 2024 | 4 | 2024 |
| Unsupervised Discriminative Training of PLDA for Domain Adaptation in Speaker Verification. Q Wang, T Koshinaka INTERSPEECH, 3727-3731, 2017 | 4 | 2017 |
| Using multi-resolution feature maps with convolutional neural networks for anti-spoofing in ASV Q Wang, KA Lee, T Koshinaka arXiv preprint arXiv:2008.08865, 2020 | 3 | 2020 |
| Cosine Scoring with Uncertainty for Neural Speaker Embedding Q Wang, KA Lee IEEE Signal Processing Letters, 2024 | 2 | 2024 |
Takafumi KoshinakaYokohama City UniversityPatvirtintas el. paštas yokohama-cu.ac.jp