En-Lun Yu

According to our database, En-Lun Yu authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

Flexible VAD-PVAD Transition: A Detachable PVAD Module for Dynamic Encoder RNN VAD.

En-Lun Yu, Chien-Chun Wang, Jeih-Weih Hung, Shih-Chieh Huang, Berlin Chen

Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization.

Chien-Chun Wang, En-Lun Yu, Jeih-Weih Hung, Shih-Chieh Huang, Berlin Chen

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2025

2024

Advanced Personal Voice Activity Detection through Attention Score module with Conformer Block and FiLM Layers.

Ruei-Xian Chang, En-Lun Yu, Berlin Chen, Shih-Chieh Huang, Jeih-Weih Hung

Proceedings of the 36th Conference on Computational Linguistics and Speech Processing, 2024

Speaker Conditional Sinc-Extractor for Personal VAD.

En-Lun Yu, Kuan-Hsun Ho, Jeih-weih Hung, Shih-Chieh Huang, Berlin Chen

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

COIN-AT-PVAD: A Conditional Intermediate Attention PVAD.

En-Lun Yu, Ruei-Xian Chang, Jeih-Weih Hung, Shih-Chieh Huang, Berlin Chen

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2024

GLASS: Investigating Global and Local context Awareness in Speech Separation.

Kuan-Hsun Ho, En-Lun Yu, Jeih-Weih Hung, Shih-Chieh Huang, Berlin Chen

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2024

2023

NAaLOSS: Rethinking the Objective of Speech Enhancement.

Kuan-Hsun Ho, En-Lun Yu, Jeih-Weih Hung, Berlin Chen

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023