Eunjung Yeo

Affiliations:
  • Carnegie Mellon University, Language Technologies Institute, Pittsburgh, PA, USA
  • Seoul National University, Department of Linguistics, Seoul, Republic of Korea (PhD 2024)


According to our database1, Eunjung Yeo authored at least 14 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Towards Inclusive ASR: Investigating Voice Conversion for Dysarthric Speech Recognition in Low-Resource Languages.
CoRR, May, 2025

Potential Applications of Artificial Intelligence for Cross-language Intelligibility Assessment of Dysarthric Speech.
CoRR, January, 2025

Leveraging Allophony in Self-Supervised Speech Models for Atypical Pronunciation Assessment.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024
Voice Biomarker Analysis and Automated Severity Classification of Dysarthric Speech in a Multilingual Context.
CoRR, 2024

Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks.
CoRR, 2024

2023
Comparison of L2 Korean pronunciation error patterns from five L1 backgrounds by using automatic phonetic transcription.
CoRR, 2023

Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Automatic Severity Classification of Dysarthric Speech by Using Self-Supervised Model with Multi-Task Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Automatic Severity Assessment of Dysarthric speech by using Self-supervised Model with Multi-task Learning.
CoRR, 2022

Opening the Black Box of wav2vec Feature Encoder.
CoRR, 2022

Cross-lingual Dysarthria Severity Classification for English, Korean, and Tamil.
CoRR, 2022

Multilingual Analysis Of Intelligibility Classification Using English, Korean, And Tamil Dysarthric Speech Datasets.
Proceedings of the 25th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques, 2022

2021
Automatic Severity Classification of Korean Dysarthric Speech Using Phoneme-Level Pronunciation Features.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020
Dysarthria Detection and Severity Assessment Using Rhythm-Based Metrics.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020


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