Self-attentive speaker embeddings for text-independent speaker verification. Y Zhu, T Ko, D Snyder, B Mak, D Povey Interspeech 2018, 3573-3577, 2018 | 298 | 2018 |
Mixup Learning Strategies for Text-Independent Speaker Verification. Y Zhu, T Ko, B Mak Interspeech, 4345-4349, 2019 | 34 | 2019 |
Denoised senone i-vectors for robust speaker verification Z Tan, MW Mak, BKW Mak, Y Zhu IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (4), 820-830, 2018 | 10 | 2018 |
Bayesian self-attentive speaker embeddings for text-independent speaker verification Y Zhu, B Mak IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 1000-1012, 2023 | 8 | 2023 |
Orthogonal training for text-independent speaker verification Y Zhu, B Mak ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 7 | 2020 |
Speeding up softmax computations in DNN-based large vocabulary speech recognition by senone weight vector selection Y Zhu, B Mak 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 6 | 2017 |
Senone i-vectors for robust speaker verification Z Tan, Y Zhu, MW Mak, BKW Mak 2016 10th International Symposium on Chinese Spoken Language Processing …, 2016 | 6 | 2016 |
Orthogonality Regularizations for End-to-End Speaker Verification. Y Zhu, B Mak Odyssey, 17-23, 2020 | 4 | 2020 |
An investigation of adaptation techniques for building acoustic models for hearing-impaired children in a CAPT application Y Zhu, B Mak 2016 10th International Symposium on Chinese Spoken Language Processing …, 2016 | 1 | 2016 |
PAU Submission of NIST 2018 Speaker Recognition Evaluation Y TU, Y ZHU, MW MAK, D CHEN, W LIN, BKW MAK, Z CHEN, W ZHANG | | 2018 |