Eunjung Yeo 여은정 /ɨnd͡zʌŋ jʌ/
Let's make a world where everyone can share their messages with the world!
Gates-Dell Complex
2317 Speedway
Austin, TX 78712
Welcome!
My name is Eunjung Yeo. I am currently a Postdoctoral Fellow at SALT Lab, in the Department of Computer Science at the University of Texas at Austin, advised by Prof. David Harwath. I received my M.A. and Ph.D. in Linguistics from Seoul National University, where I worked in the Spoken Language Processing Lab. Before that, I completed my bachelor’s degree in Korean Language and Literature, with a double major in Psychology, at Yonsei University.
I was previously a visiting scholar at ChangeLing Lab in the Language Technologies Institute at Carnegie Mellon University, advised by Prof. David Mortensen, with whom I maintain strong research collaborations. I also collaborate closely with Prof. Julie Liss and Prof. Visar Berisha at Arizona State University.
My research focuses on computational phonetics and phonology, with a particular focus on clinical speech analysis and applications. I am passionate about proposing tools and insights that make it possible for everyone—regardless of speech or language differences—to share their messages. I believe that linguistic knowledge, combined with computational methods, can open new pathways toward inclusive communication.
news
| Sep 10, 2026 | Five of our papers have been accepted to SLT 2026! 🥳 |
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| Jun 05, 2026 | Three of our papers have been accepted to Interspeech 2026! |
| Apr 06, 2026 | Three of our papers have been accepted to ACL 2026! (2 main, 1 findings) [1][2][3]🌟 |
| Jan 12, 2026 | I have been appointed as a Postdoctoral Fellow at SALT Lab, UT Austin! |
| Dec 22, 2025 | Our team has been awarded $30k grant from Texas Health Catalyst! |
selected publications
- ASHA SIG 19Applications of Artificial Intelligence for Cross-language Intelligibility Assessment of Dysarthric SpeechPerspectives of the ASHA SIG 19, 2025
- InterspeechSpeech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty QuantificationIn Interspeech, 2023
- ICASSPAutomatic severity classification of dysarthric speech by using self-supervised model with multi-task learningIn ICASSP, 2023