Joon-Young Yang
Orcid: 0000-0003-0096-4371
According to our database1,
Joon-Young Yang
authored at least 10 papers
between 2019 and 2023.
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Bibliography
2023
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer.
CoRR, 2023
Deeply Supervised Curriculum Learning for Deep Neural Network-based Sound Source Localization.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Improving Transformer-Based End-to-End Speaker Diarization by Assigning Auxiliary Losses to Attention Heads.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Task-Specific Optimization of Virtual Channel Linear Prediction-Based Speech Dereverberation Front-End for Far-Field Speaker Verification.
IEEE ACM Trans. Audio Speech Lang. Process., 2022
VACE-WPE: Virtual Acoustic Channel Expansion Based on Neural Networks for Weighted Prediction Error-Based Speech Dereverberation.
IEEE ACM Trans. Audio Speech Lang. Process., 2022
HYU Submission for the SASV Challenge 2022: Reforming Speaker Embeddings with Spoofing-Aware Conditioning.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Improved CNN-Transformer using Broadcasted Residual Learning for Text-Independent Speaker Verification.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
2021
Short-Utterance Embedding Enhancement Method Based on Time Series Forecasting Technique for Text-Independent Speaker Verification.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
2020
Virtual Acoustic Channel Expansion Based on Neural Networks for Weighted Prediction Error-Based Speech Dereverberation.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
2019
Joint Optimization of Neural Acoustic Beamforming and Dereverberation with x-Vectors for Robust Speaker Verification.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019