About Guan-Ting (Daniel) Lin

Guan-Ting is currently a final-year Ph.D. student (expected to graduate in December 2025, looking for full-time research scientist/engineer roles starting from 2026) at the Speech Processing and Machine Learning Lab, National Taiwan University (NTU), under the guidance of Prof. Hung-yi Lee. His research interests include Speech LLMs, Full-Duplex Interaction, Spoken Language Understanding / Generation, and Test-Time Adaptation for Automatic Speech Recognition.

Guan-Ting has published more than 10 first/co-first author top-tier Speech & NLP conferences papers (ACL, EMNLP, ICASSP, INTERSPEECH, ASRU, SLT). Notably, he received the Best Paper Award at IEEE SLT 2022 in Doha, Qatar. He also regularly serves as an official reviewer for prestigious conferences, including ICLR, NeurIPS, ACL, EMNLP, NAACL, and ICASSP. He is recognized as ICLR 2025 Notable Reviewer.

He has been fortunate to gain extensive research experience through valuable opportunities:

• Google DeepMind (2025 Spring): Student Researcher at Gemini Speech team (New York City), collaborating with Kartik Audhkhasi, Soheil Khorram, and Bhuvana Ramabhadran to develop methods enhancing Gemini speech capabilities in low-resource languages.

• Amazon AGI (2024 Summer): Applied Scientist Intern at Speech team in Seattle, USA (under Ivan Bulyko’s team), working with Prashanth Gurunath Shivakumar, Yile Gu, and Ankur Gandhe on Align-SLM, the first end-to-end spoken language model with reinforcement learning.

• Amazon Alexa AI (2023 Summer): Applied Scientist Intern at Speech Recognition and LM team in Seattle, USA (under Ivan Bulyko’s team), working with Prashanth Gurunath Shivakumar and Andreas Stolcke on a paralinguistics-enhanced LLM.

• Amazon Alexa AI (2022 Summer): Applied Scientist Intern at in Cambridge, USA (under Chao Wang’s team), working with Chieh-Chi Kao and Qingming Tang on acoustic event classification using neural architecture search.

🔎 For more details, please see the [CV] and the Google Scholar for the most updated profile.

Open to discussing or collaborating on speech research—feel free to reach out at daniel094144[at]gmail[dot]com.

Beyond academia, he enjoys singing 🎤, photography 📷, and watching MLB games ⚾️.

Update 🚨

2025/08 Three papers accepted by ASRU 2025 — see you in Hawaii 🏝
2025/05 Align-SLM accepted by ACL 2025 — see you in Vienna!
2025/03 Released Full-Duplex-Bench — the first benchmark for full-duplex spoken dialogue models.
2024/11 Preprint of Align-SLM released — first RLAIF framework for end-to-end textless SLMs.
2024/09 Continual TTA & Emphasized-Talk accepted by EMNLP 2024 (main & findings).
2024/05 Advancing LLMs to Capture Speaking Styles accepted by ACL 2024.
2024/01 Received IEEE SPS Travel Grant for ICASSP 2024!
2023/12 Three papers accepted by ICASSP 2024 — see you in Seoul!
2023/02 Internship work with Amazon Alexa accepted by ICASSP 2023.
2023/01 Paper with Prof. Nigel Ward won Best Paper Award at IEEE SLT 2022!
2022/07 Received ISCA Travel Grant for Interspeech 2022.
2022/06 Two first-author papers accepted at Interspeech 2022.

Education

• Ph.D. in Communication Engineering, EECS, National Taiwan University [2021/9 - 2025/12]
  • Advisor: Prof. Hung-yi Lee
  • Transferred from M.S. program in Feb. 2023.

Selected Publications & Preprints

(For full publication list, please see the Google Scholar).

[Speech/Text Large Language Models]
Speech understanding and generation toward human-like spoken dialogue

• Full-Duplex-Bench v1.5: Evaluating Overlap Handling for Full-Duplex Speech Models
  Guan-Ting Lin, Shih-Yun Shan Kuan, Qirui Wang, Jiachen Lian, Tingle Li, Hung-yi Lee
  Arxiv 2025
  paper / code
• Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
  Guan-Ting Lin, Jiachen Lian_(co-second), Tingle Li_(co-second), Qirui Wang_(co-second), Gopala Anumanchipalli, Alexander H. Liu, Hung-yi Lee
  ASRU 2025
  paper / code
• Align-SLM: Textless Spoken Language Models with Reinforcement Learning from AI Feedback
  Guan-Ting Lin, Prashanth Gurunath Shivakumar, Aditya Gourav, Yile Gu, Ankur Gandhe, Hung-yi Lee, Ivan Bulyko
  ACL 2025
  paper
• Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations
  Guan-Ting Lin, Cheng-Han Chiang, Hung-yi Lee
  ACL 2024
  paper / data
• Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue
  Guan-Ting Lin, Prashanth Gurunath Shivakumar, Ankur Gandhe, Chao-Han Huck Yang, Yile Gu, Shalini Ghosh, Andreas Stolcke, Hung-yi Lee, Ivan Bulyko
  ICASSP 2024
  paper
• Can LLMs Understand the Implication of Emphasized Sentences in Dialogue?
  Guan-Ting Lin, Hung-yi Lee
  EMNLP 2024 Findings
  paper / data

[Self-supervised Speech Models]
Explore the utilities of self-supervised speech representations models

• On the Utility of Self-supervised Models for Prosody-related Task
  Guan-Ting Lin_(co-first), Chi-Luen Feng_(co-first), Wei-Ping Huang, Yuan Tseng, Tzu-Han Lin, Chen-An Li, Hung-yi Lee, Nigel G. Ward
  SLT 2022 (Best Paper Award)
  paper / code
• Analyzing the Robustness of Unsupervised Speech Recognition
  Guan-Ting Lin_(co-first), Chan-Jan Hsu_(co-first), Da-Rong Liu, Hung-Yi Lee, Yu Tsao
  ICASSP 2022
  paper / code

[Spoken Language Understanding and Spoken Question Answering]
End-to-end approaches to understand high-level semantic information in speech signals

• DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken Question Answering
  Guan-Ting Lin, Yung-Sung Chuang, Ho-Lam Chung, Shu-wen Yang, Hsuan-Jui Chen, Shuyan Dong, Shang-Wen Li, Abdelrahman Mohamed, Hung-yi Lee, Lin-shan Lee
  Interspeech 2022
  paper / code
• Improving Textless Spoken Language Understanding with Discrete Units as Intermediate Target
  Guan-Wei Wu_(co-first), Guan-Ting Lin_(co-first), Shang-Wen Li, Hung-yi Lee
  Interspeech 2023
  paper
• SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question Answering
  Chyi-Jiunn Lin, Guan-Ting Lin, Yung-Sung Chuang, Wei-Lun Wu, Shang-Wen Li, Abdelrahman Mohamed, Hung-yi Lee, Lin-shan Lee
  ICASSP 2024
  paper

[End-to-end ASR Test-time Adaptation]
Sample-dependent test-time adaptation to improve ASR on out-of-domain speech

• SUTA-LM: Bridging Test-Time Adaptation and Language Model Rescoring for Robust ASR
  Wei-Ping Huang_(co-first), Guan-Ting Lin_(co-first), Hung-yi Lee
  ASRU 2025
  paper / code
• Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech
  Guan-Ting Lin_(co-first), Wei-Ping Huang_(co-first), Hung-yi Lee
  EMNLP 2024
  paper / code
• Listen, Adapt, Better WER: Source-free Single-utterance Test-time Adaptation for Automatic Speech Recognition
  Guan-Ting Lin, Shang-Wen Li, Hung-Yi Lee
  Interspeech 2022 (Oral)
  paper / code

Patents

• Inventor on a pending U.S. patent application in speech and language processing, filed by Google DeepMind (details confidential until publication)

Award

• IEEE Signal Processing Society Travel Grant @ ICASSP 2024
• Best paper award @ IEEE SLT 2022
• NTU Elite Doctoral Scholarship
• GICE Elite Doctoral Scholarship with NVIDIA
• ISCA travel grant @ Interspeech 2022
• Appier top-tier conference scholarship
• Dean’s list * 3 @ NTHU
• Phi Tau Phi Award @ NTHU
• The Zhu Shun Yi He Qin Scholarship @ NTHU

Academic Services

• Official Reviewer: ICLR’24’25, NeurIPS’24’25, ACL’24’25, EMNLP’24, NAACL’23’24, ICASSP’23’24, ISCSLP’22’23’24, COLING’25