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 | 743 | 2021 |
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 | 418 | 2020 |
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ... Genome biology 20, 1-23, 2019 | 368 | 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 | 170 | 2021 |
Speechnet: A universal modularized model for speech processing tasks YC Chen, PH Chi, S Yang, KW Chang, J Lin, SF Huang, DR Liu, CL Liu, ... arXiv preprint arXiv:2105.03070, 2021 | 11 | 2021 |
Further Boosting Bert-Based Models by Duplicating Existing Layers: Some Intriguin g Phenomena inside Bert WT Kao, TH Wu, PH Chi, CC Hsieh, HY Lee arXiv preprint arXiv:2001.09309, 2020 | 8* | 2020 |
A Large-Scale Evaluation of Speech Foundation Models S Yang, HJ Chang, Z Huang, AT Liu, CI Lai, H Wu, J Shi, X Chang, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 1 | 2024 |
Few-shot prompting towards controllable response generation H Su, P Chi, SC Huang, CH Lam, S Sahay, ST Chen, H yi Lee CoRR, 2022 | 1 | 2022 |
Leveraging Sequence Embedding and Convolutional Neural Network for Protein Function Prediction WC Tseng, PH Chi, JH Wu, M Sun arXiv preprint arXiv:2112.00344, 2021 | | 2021 |
Input-independent Attention Weights Are Expressive Enough: A Study of Attention in Self-supervised Audio Transformers TH Wu, CC Hsieh, YH Chen, PH Chi, H Lee arXiv preprint arXiv:2006.05174, 2020 | | 2020 |