activity
20232026
most citedAn Investigation Into Explainable Audio Hate Speech Detection

1 citations · 1 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2026

Mixture-of-Experts with Intermediate CTC Supervision for Accented Speech Recognition

Wonjun Lee, Hyounghun Kim, Gary Geunbae Lee

Accented speech remains a persistent challenge for automatic speech recognition (ASR), as most models are trained on data dominated by a few high-resource English varieties, leadin…

cs.CL2025

DeRAGEC: Denoising Named Entity Candidates with Synthetic Rationale for ASR Error Correction

Solee Im, Wonjun Lee, Jinmyeong An +3

We present DeRAGEC, a method for improving Named Entity (NE) correction in Automatic Speech Recognition (ASR) systems. By extending the Retrieval-Augmented Generative Error Correct…

cs.CL2025

DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition

Wonjun Lee, Solee Im, Heejin Do +3

Dysarthric speech recognition often suffers from performance degradation due to the intrinsic diversity of dysarthric severity and extrinsic disparity from normal speech. To bridge…

cs.CL2024

Speak & Spell: LLM-Driven Controllable Phonetic Error Augmentation for Robust Dialogue State Tracking

Jihyun Lee, Solee Im, Wonjun Lee +1

Dialogue State Tracking (DST) is a key part of task-oriented dialogue systems, identifying important information in conversations. However, its accuracy drops significantly in spok…

cs.CL2024★ 1 cited

An Investigation Into Explainable Audio Hate Speech Detection

Jinmyeong An, Wonjun Lee, Yejin Jeon +3

Research on hate speech has predominantly revolved around detection and interpretation from textual inputs, leaving verbal content largely unexplored. While there has been limited…

cs.CL2024

Enhancing Dialogue Speech Recognition with Robust Contextual Awareness via Noise Representation Learning

Wonjun Lee, San Kim, Gary Geunbae Lee

Recent dialogue systems rely on turn-based spoken interactions, requiring accurate Automatic Speech Recognition (ASR). Errors in ASR can significantly impact downstream dialogue ta…

cs.CL2024

Acoustic Feature Mixup for Balanced Multi-aspect Pronunciation Assessment

Heejin Do, Wonjun Lee, Gary Geunbae Lee

In automated pronunciation assessment, recent emphasis progressively lies on evaluating multiple aspects to provide enriched feedback. However, acquiring multi-aspect-score labeled…

cs.CL2023

Optimizing Two-Pass Cross-Lingual Transfer Learning: Phoneme Recognition and Phoneme to Grapheme Translation

Wonjun Lee, Gary Geunbae Lee, Yunsu Kim

This research optimizes two-pass cross-lingual transfer learning in low-resource languages by enhancing phoneme recognition and phoneme-to-grapheme translation models. Our approach…

cs.SD2023

Exploring the Viability of Synthetic Audio Data for Audio-Based Dialogue State Tracking

Jihyun Lee, Yejin Jeon, Wonjun Lee +2

Dialogue state tracking plays a crucial role in extracting information in task-oriented dialogue systems. However, preceding research are limited to textual modalities, primarily d…