| Superb: Speech processing universal performance benchmark S Yang, PH Chi, YS Chuang, CIJ Lai, K Lakhotia, YY Lin, AT Liu, J Shi, ... arXiv preprint arXiv:2105.01051, 2021 | 850 | 2021 |
| Temporal pattern attention for multivariate time series forecasting SY Shih, FK Sun, H Lee Machine Learning 108, 1421-1441, 2019 | 785 | 2019 |
| Mockingjay: Unsupervised speech representation learning with deep bidirectional transformer encoders AT Liu, S Yang, PH Chi, P Hsu, H Lee ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 441 | 2020 |
| Tera: Self-supervised learning of transformer encoder representation for speech AT Liu, SW Li, H Lee IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2351-2366, 2021 | 391 | 2021 |
| Self-supervised speech representation learning: A review A Mohamed, H Lee, L Borgholt, JD Havtorn, J Edin, C Igel, K Kirchhoff, ... IEEE Journal of Selected Topics in Signal Processing 16 (6), 1179-1210, 2022 | 342 | 2022 |
| Can large language models be an alternative to human evaluations? CH Chiang, H Lee arXiv preprint arXiv:2305.01937, 2023 | 321 | 2023 |
| One-shot voice conversion by separating speaker and content representations with instance normalization J Chou, C Yeh, H Lee arXiv preprint arXiv:1904.05742, 2019 | 276 | 2019 |
| Audio word2vec: Unsupervised learning of audio segment representations using sequence-to-sequence autoencoder YA Chung, CC Wu, CH Shen, HY Lee, LS Lee arXiv preprint arXiv:1603.00982, 2016 | 220 | 2016 |
| Lamol: Language modeling for lifelong language learning FK Sun, CH Ho, HY Lee arXiv preprint arXiv:1909.03329, 2019 | 206 | 2019 |
| Audio albert: A lite bert for self-supervised learning of audio representation PH Chi, PH Chung, TH Wu, CC Hsieh, YH Chen, SW Li, H Lee 2021 IEEE Spoken Language Technology Workshop (SLT), 344-350, 2021 | 181 | 2021 |
| Tree transformer: Integrating tree structures into self-attention YS Wang, HY Lee, YN Chen arXiv preprint arXiv:1909.06639, 2019 | 169 | 2019 |
| Multi-target voice conversion without parallel data by adversarially learning disentangled audio representations J Chou, C Yeh, H Lee, L Lee arXiv preprint arXiv:1804.02812, 2018 | 160 | 2018 |
| Distilhubert: Speech representation learning by layer-wise distillation of hidden-unit bert HJ Chang, S Yang, H Lee ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 157 | 2022 |
| Mfa-conformer: Multi-scale feature aggregation conformer for automatic speaker verification Y Zhang, Z Lv, H Wu, S Zhang, P Hu, Z Wu, H Lee, H Meng arXiv preprint arXiv:2203.15249, 2022 | 132 | 2022 |
| Spoken content retrieval—beyond cascading speech recognition with text retrieval L Lee, J Glass, H Lee, C Chan IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (9), 1389 …, 2015 | 132 | 2015 |
| SpeechBERT: Cross-modal pre-trained language model for end-to-end spoken question answering YS Chuang, CL Liu, HY Lee | 130* | 2019 |
| Again-vc: A one-shot voice conversion using activation guidance and adaptive instance normalization YH Chen, DY Wu, TH Wu, H Lee ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 118 | 2021 |
| Meta learning for end-to-end low-resource speech recognition JY Hsu, YJ Chen, H Lee ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 113 | 2020 |
| Vqvc+: One-shot voice conversion by vector quantization and u-net architecture DY Wu, YH Chen, HY Lee arXiv preprint arXiv:2006.04154, 2020 | 112 | 2020 |
| Supervised and unsupervised transfer learning for question answering YA Chung, HY Lee, J Glass arXiv preprint arXiv:1711.05345, 2017 | 108 | 2017 |
