| Superb: Speech processing universal performance benchmark S Yang, PH Chi, YS Chuang, CIJ Lai, K Lakhotia, YY Lin, AT Liu, J Shi, ... INTERSPEECH 2021, 2021 | 967 | 2021 |
| On the utility of self-supervised models for prosody-related tasks GT Lin, CL Feng, WP Huang, Y Tseng, TH Lin, CA Li, H Lee, NG Ward IEEE SLT 2022 (Best Paper Award), 2023 | 46 | 2023 |
| DUAL: Discrete spoken unit adaptive learning for textless spoken question answering GT Lin, YS Chuang, HL Chung, S Yang, HJ Chen, SW Li, A Mohamed, ... INTERSPEECH 2022, 2022 | 25* | 2022 |
| Analyzing the robustness of unsupervised speech recognition GT Lin, CJ Hsu, DR Liu, HY Lee, Y Tsao ICASSP 2022, 2022 | 20 | 2022 |
| Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations GT Lin, CH Chiang, H Lee ACL 2024, 2024 | 19 | 2024 |
| Listen, adapt, better wer: Source-free single-utterance test-time adaptation for automatic speech recognition GT Lin, SW Li, H Lee INTERSPEECH 2022, 2022 | 17 | 2022 |
| Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue GT Lin, PG Shivakumar, A Gandhe, CHH Yang, Y Gu, S Ghosh, A Stolcke, ... ICASSP 2024, 2023 | 13 | 2023 |
| Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks K Everson, Y Gu, H Yang, PG Shivakumar, GT Lin, J Kolehmainen, ... ICASSP 2024, 2024 | 6 | 2024 |
| Improving Textless Spoken Language Understanding with Discrete Units as Intermediate Target GW Wu, GT Lin, SW Li, H Lee INTERSPEECH 2023, 2023 | 5 | 2023 |
| Context-gloss Augmentation for Improving Word Sense Disambiguation GT Lin, M Giambi arXiv preprint arXiv:2110.07174, 2021 | 4 | 2021 |
| Introducing Semantics into Speech Encoders D Xu, S Dong, C Wang, S Kim, Z Lin, A Shrivastava, SW Li, LH Tseng, ... ACL 2023, 2022 | 3 | 2022 |
| SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question Answering CJ Lin, GT Lin, YS Chuang, WL Wu, SW Li, A Mohamed, H Lee, L Lee ICASSP 2024, 2024 | 2 | 2024 |
| GSQA: An End-to-End Model for Generative Spoken Question Answering MH Shih, HL Chung, YC Pai, MH Hsu, GT Lin, SW Li, H Lee INTERSPEECH 2024, 2023 | 2 | 2023 |
| How to Learn a New Language? An Efficient Solution for Self-Supervised Learning Models Unseen Languages Adaption in Low-Resource Scenario SH Wang, ZC Chen, J Shi, MT Chuang, GT Lin, KP Huang, D Harwath, ... arXiv preprint arXiv:2411.18217, 2024 | 1 | 2024 |
| Align-SLM: Textless Spoken Language Models with Reinforcement Learning from AI Feedback GT Lin, PG Shivakumar, A Gourav, Y Gu, A Gandhe, H Lee, I Bulyko arXiv preprint arXiv:2411.01834, 2024 | 1 | 2024 |
| Can LLMs Understand the Implication of Emphasized Sentences in Dialogue? GT Lin, H Lee EMNLP 2024 Findings, 2024 | 1 | 2024 |
| Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech GT Lin, WP Huang, H Lee EMNLP 2024, 2024 | 1 | 2024 |
| Property Neurons in Self-Supervised Speech Transformers TQ Lin, GT Lin, H Lee, H Tang SLT 2024, 2024 | | 2024 |
| Weight-sharing supernet for searching specialized acoustic event classification networks across device constraints GT Lin, Q Tang, CC Kao, V Rozgic, C Wang ICASSP 2023, 2023 | | 2023 |
Hung-yi LeeNational Taiwan University在 ntu.edu.tw 的電子郵件地址已通過驗證
