publications
* denotes equal contribution.
2024
- arXivDynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks2024
2023
- 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
- JournalKnowledge-driven speech features for detection of Korean-speaking children with autism spectrum disorderPhonetics and Speech Sciences, 2023
2022
- 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
- arXivOpening the black box of wav2vec feature encoderarXiv preprint arXiv:2210.15386, 2022
2021
- InterspeechAutomatic Severity Classification of Korean Dysarthric Speech Using Phoneme-Level Pronunciation Features.In Interspeech, 2021
- JournalAutomatic severity classification of dysarthria using voice quality, prosody, and pronunciation featuresPhonetics and Speech Sciences, 2021
2020
- InterspeechDysarthria Detection and Severity Assessment Using Rhythm-Based Metrics.In Interspeech, 2020