Eunjung Yeo 여은정 /ɨnd͡zʌŋ jʌ/
Let's make a world where everyone can share their messages with the world!
4902 Forbes Ave
Pittsburgh, PA 15213
Welcome!
My name is Eunjung Yeo. 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 am currently a visiting scholar at ChangeLing Lab, Language Technologies Institute of Carnegie Mellon University, advised by Prof. David Mortensen.
My major interests lie in computational phonetics and phonology, with a particular focus on clinical speech analysis and applications. My research passion stems from a desire to make a world where everyone can efficiently convey their messages. I strongly believe that linguistic knowledge can be leveraged in this journey.
news
Oct 17, 2024 | Presented three papers at SANE (Speech and Audio in the Northeast) workshop, held in Boston. [1] [2] |
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Oct 01, 2024 | Contributed to Phonetics, Phonology, and Prosody tasks in Dynamic-SUPERB Phase-2, as part of the CMU-Linguistics team, with Kwanghee Choi, Kalvin Chang, Shinji Watanabe, and David Mortensen. |
Aug 28, 2024 | Incorporated Korean G2P in Epitran with my dear colleague, Kwanghee Choi. |
Jun 13, 2024 | Successfully defended my Ph.D. Dissertation! |
Feb 15, 2024 | Started my new academic journey as a Visiting Scholar at Language Technologies Institute, Carnegie Mellon University! |
selected publications
- 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
- ICPhSComparison of L2 Korean pronunciation error patterns from five L1 backgrounds by using automatic phonetic transcriptionIn ICPhS, 2023
- APSIPA ASCCross-lingual Dysarthria Severity Classification for English, Korean, and TamilIn APSIPA ASC, 2022
- Oriental CocosdaMultilingual analysis of intelligibility classification using English, Korean, and Tamil dysarthric speech datasetsIn Oriental Cocosda, 2022