Scholar
Guan-Ting Lin
Google Scholar ID: gojQWGIAAAAJ
National Taiwan University
Citations & Impact
Citations
1,521
H-index
10
i10-index
12
Publications
20
Co-authors
21
list available
Publications
Resume (English only)
Academic Achievements
- Published 10+ first/co-first author papers at top-tier Speech & NLP conferences (ACL, EMNLP, ICASSP, Interspeech, ASRU, SLT).
- Best Paper Award at IEEE SLT 2022.
- ICLR 2025 Notable Reviewer.
- Multiple papers accepted by ASRU 2025, ACL 2025, EMNLP 2024, etc.
- Released Full-Duplex-Bench, the first benchmark for full-duplex spoken dialogue models.
- Received IEEE SPS Travel Grant for ICASSP 2024.
- Internship work with Amazon Alexa accepted by ICASSP 2023.
- Paper with Prof. Nigel Ward won Best Paper Award at IEEE SLT 2022!
- ISCA Travel Grant for Interspeech 2022.
- Two first-author papers accepted at Interspeech 2022.
Research Experience
- 2025 Fall: Meta Superintelligence Lab, Research Scientist Intern at the Voice Modeling Team in Menlo Park, USA, working with Naoyuki Kanda on full-duplex speech LLM.
- 2025 Spring: Google DeepMind, 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.
- 2024 Summer: Amazon AGI, 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.
- 2023 Summer: Amazon Alexa AI, 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.
- 2022 Summer: Amazon Alexa AI, Applied Scientist Intern in Cambridge, USA (under Chao Wang’s team), working with Chieh-Chi Kao and Qingming Tang on acoustic event classification using neural architecture search.
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.
Background
- Research interests include Speech LLMs, Full-Duplex Interaction, Spoken Language Understanding / Generation, and Test-Time Adaptation for Automatic Speech Recognition. Currently a Ph.D. student at the Speech Processing and Machine Learning Lab, National Taiwan University, under the guidance of Prof. Hung-yi Lee.
Miscellany
- Beyond academia, he enjoys singing, photography, and watching MLB games.
