Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Yunsu Kim
Observed name:
Kim, Yunsu
Observed institutions:
Pohang University of Science and Technology,
Seoul National University
ORCID:
0009-0005-2948-4306
Observed ORCID:
0009-0005-2948-4306
OpenAlex ID:
A5090577558
Hierarchical Pronunciation Assessment with Multi-Aspect Attention
2023
·
Heejin Do
, Yunsu Kim
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
24
PDF
An Investigation into Explainable Audio Hate Speech Detection
2024
·
Jinmyeong An
, Wonjun Lee
, et al.
·
Annual Meeting of the Special Interest Group on Discourse and Dialogue
·
14
PDF
DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition
2025
·
Wonjun Lee
, Solee Im
, et al.
·
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
·
7
PDF
Score-balanced Loss for Multi-aspect Pronunciation Assessment
2023
·
Heejin Do
, Yunsu Kim
, et al.
·
Interspeech (USB)
·
5
PDF
Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations
2024
·
Yejin Jeon
, Yunsu Kim
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
3
PDF
DeRAGEC: Denoising Named Entity Candidates with Synthetic Rationale for ASR Error Correction
2025
·
Solee Im
, Wonjun Lee
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
·
1
PDF
Toward Generalized Visualization System for Various CNN Models: Module and Layer View
2024
·
Yunsu Kim
, Junha Chun
, et al.
·
IEEE Access
·
1
Exploring the Viability of Synthetic Audio Data for Audio-Based Dialogue State Tracking
2023
·
Jihyun Lee
, Yejin Jeon
, et al.
·
IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)
·
1
PDF
LLMEE: Enhancing Explainability and Evaluation of Large Language Models through Visual Token Attribution
2024
·
Yunsu Kim
, Minchan Kim
, et al.
·
Journal of KIISE
Show more works
View as search
Works count:
11
Citation count:
56
H-index:
4
I10-index:
2
Year
Topic
Type