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2020 – today
- 2024
[c5]Kuan-Hsun Ho, Jeih-weih Hung, Berlin Chen:
What Do Neural Networks Listen to? Exploring the Crucial Bands in Speech Enhancement Using SINC-Convolution. ICASSP 2024: 10406-10410- [i3]Kuan-Hsun Ho, Jeih-weih Hung, Berlin Chen:
What do neural networks listen to? Exploring the crucial bands in Speech Enhancement using Sinc-convolution. CoRR abs/2403.01785 (2024) - [i2]Kuan-Hsun Ho, Jeih-weih Hung, Berlin Chen:
ConSep: a Noise- and Reverberation-Robust Speech Separation Framework by Magnitude Conditioning. CoRR abs/2403.01792 (2024) - 2023
- [c4]Kuan-Hsun Ho, Jeih-Weih Hung, Berlin Chen:
ConSep: a Noise- and Reverberation-Robust Speech Separation Framework by Magnitude Conditioning. DSP 2023: 1-5 - [c3]Kuan-Hsun Ho, En-Lun Yu, Jeih-Weih Hung, Berlin Chen:
NAaLOSS: Rethinking the Objective of Speech Enhancement. MLSP 2023: 1-6 - [i1]Kuan-Hsun Ho, En-Lun Yu, Jeih-weih Hung, Berlin Chen:
Naaloss: Rethinking the objective of speech enhancement. CoRR abs/2308.12615 (2023) - 2022
- [c2]Yu-sheng Tsao, Kuan-Hsun Ho, Jeih-weih Hung, Berlin Chen:
Adaptive-FSN: Integrating Full-Band Extraction and Adaptive Sub-Band Encoding for Monaural Speech Enhancement. SLT 2022: 458-464 - [c1]Kuan-Hsun Ho, Jeih-weih Hung, Berlin Chen:
Bi-Sep: A Multi-Resolution Cross-Domain Monaural Speech Separation Framework. TAAI 2022: 72-77
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