Adaptive-FSN: Integrating Full-Band Extraction and Adaptive Sub-Band Encoding for Monaural Speech Enhancement. - Yu-sheng Tsao; Kuan-Hsun Ho; Jeih-weih Hung; Berlin Chen (SLT, 2022)

Bi-Sep: A Multi-Resolution Cross-Domain Monaural Speech Separation Framework. - Kuan-Hsun Ho; Jeih-weih Hung; Berlin Chen (TAAI, 2022)

ConSep: a Noise- and Reverberation-Robust Speech Separation Framework by Magnitude Conditioning. - Kuan-Hsun Ho; Jeih-Weih Hung; Berlin Chen (DSP, 2023)

NAaLOSS: Rethinking the Objective of Speech Enhancement. - Kuan-Hsun Ho; En-Lun Yu; Jeih-Weih Hung; Berlin Chen (MLSP, 2023)

GLASS: Investigating Global and Local context Awareness in Speech Separation. - Kuan-Hsun Ho; En-Lun Yu; Jeih-Weih Hung; Shih-Chieh Huang; Berlin Chen (APSIPA, 2024)

What Do Neural Networks Listen to? Exploring the Crucial Bands in Speech Enhancement Using SINC-Convolution. - Kuan-Hsun Ho; Jeih-weih Hung; Berlin Chen (ICASSP, 2024)

Speaker Conditional Sinc-Extractor for Personal VAD. - En-Lun Yu; Kuan-Hsun Ho; Jeih-weih Hung; Shih-Chieh Huang; Berlin Chen (INTERSPEECH, 2024)