Da-Hee Yang

According to our database, Da-Hee Yang authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

FLOWER: Flow-Based Estimated Gaussian Guidance for General Speech Restoration.

Da-Hee Yang, Jaeuk Lee, Joon-Hyuk Chang

CoRR, May, 2025

Tokenized Generative Speech Enhancement With Language Model and Flow Matching.

Da-Hee Yang, Jaeuk Lee, Joon-Hyuk Chang

IEEE Signal Process. Lett., 2025

Flow-PLC: Towards Efficient Packet Loss Concealment With Flow Matching.

Da-Hee Yang, Joon-Hyuk Chang

IEEE Signal Process. Lett., 2025

2024

DM: Dual-path Magnitude Network for General Speech Restoration.

Da-Hee Yang, Dail Kim, Joon-Hyuk Chang, Jeonghwan Choi, Han-gil Moon

CoRR, 2024

Diff-PLC: A Diffusion-Based Approach For Effective Packet Loss Concealment.

Da-Hee Yang, Joon-Hyuk Chang

Proceedings of the IEEE Spoken Language Technology Workshop, 2024

Guided conditioning with predictive network on score-based diffusion model for speech enhancement.

Dail Kim, Da-Hee Yang, Donghyun Kim, Joon-Hyuk Chang, Jeonghwan Choi, Moa Lee, Jaemo Yang, Han-gil Moon

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

2023

Attention-based latent features for jointly trained end-to-end automatic speech recognition with modified speech enhancement.

Da-Hee Yang, Joon-Hyuk Chang

J. King Saud Univ. Comput. Inf. Sci., March, 2023

Masked Frequency Modeling for Improving Packet Loss Concealment in Speech Transmission Systems.

Da-Hee Yang, Donghyun Kim, Joon-Hyuk Chang

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

Selective Film Conditioning with CTC-Based ASR Probability for Speech Enhancement.

Da-Hee Yang, Joon-Hyuk Chang

Proceedings of the IEEE International Conference on Acoustics, 2023

Towards Robust Packet Loss Concealment System With ASR-Guided Representations.

Da-Hee Yang, Joon-Hyuk Chang

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

FiLM Conditioning with Enhanced Feature to the Transformer-based End-to-End Noisy Speech Recognition.

Da-Hee Yang, Joon-Hyuk Chang

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022