Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders. - Hsin-Tien Chiang; Yi-Yen Hsieh; Szu-Wei Fu; Kuo-Hsuan Hung; Yu Tsao 001; Shao-Yi Chien (IEEE Access, 2019)

Time-Domain Multi-modal Bone/air Conducted Speech Enhancement. - Cheng Yu; Yan-Ting Lin; Kuo-Hsuan Hung; Syu-Siang Wang; Szu-Wei Fu; Yu Tsao 001; Jeih-weih Hung (CoRR, 2019)

Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing. - Szu-Wei Fu; Chien-Feng Liao; Tsun-An Hsieh; Kuo-Hsuan Hung; Syu-Siang Wang; Cheng Yu; Heng-Cheng Kuo; Ryandhimas E. Zezario; You-Jin Li; Shang-Yi Chuang; Yen-Ju Lu; Yu-Chen Lin 003; et al. (APSIPA, 2020)

Boosting Objective Scores of Speech Enhancement Model through MetricGAN Post-Processing. - Szu-Wei Fu; Chien-Feng Liao; Tsun-An Hsieh; Kuo-Hsuan Hung; Syu-Siang Wang; Cheng Yu; Heng-Cheng Kuo; Ryandhimas E. Zezario; You-Jin Li; Shang-Yi Chuang; Yen-Ju Lu; Yu Tsao 001 (CoRR, 2020)

CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application. - Alexander Chao-Fu Kang; Kuo-Hsuan Hung; Yu-Wen Chen; You-Jin Li; Ya-Hsin Lai; Kai-Chun Liu; Sze-Wei Fu; Syu-Siang Wang; Yu Tsao 001 (CoRR, 2020)

Time-Domain Multi-Modal Bone/Air Conducted Speech Enhancement. - Cheng Yu; Kuo-Hsuan Hung; Syu-Siang Wang; Yu Tsao 001; Jeih-weih Hung (IEEE Signal Process. Lett., 2020)

A Study of Incorporating Articulatory Movement Information in Speech Enhancement. - Yu-Wen Chen; Kuo-Hsuan Hung; Shang-Yi Chuang; Jonathan Sherman; Xugang Lu; Yu Tsao 001 (EUSIPCO, 2021)

EMA2S: An End-to-End Multimodal Articulatory-to-Speech System. - Yu-Wen Chen; Kuo-Hsuan Hung; Shang-Yi Chuang; Jonathan Sherman; Wen-Chin Huang; Xugang Lu; Yu Tsao 001 (ISCAS, 2021)

Intermittent Speech Recovery. - Yu-Chen Lin 003; Tsun-An Hsieh; Kuo-Hsuan Hung; Cheng Yu; Harinath Garudadri; Yu Tsao 001; Tei-Wei Kuo (CoRR, 2021)

MetricGAN-U: Unsupervised Speech Enhancement/ Dereverberation Based Only on Noisy/ Reverberated Speech. - Szu-Wei Fu; Cheng Yu; Kuo-Hsuan Hung; Mirco Ravanelli; Yu Tsao 001 (ICASSP, 2022)

Speech Recovery For Real-World Self-Powered Intermittent Devices. - Yu-Chen Lin 003; Tsun-An Hsieh; Kuo-Hsuan Hung; Cheng Yu; Harinath Garudadri; Yu Tsao 001; Tei-Wei Kuo (ICASSP, 2022)

Partially Fake Audio Detection by Self-Attention-Based Fake Span Discovery. - Haibin Wu; Heng-Cheng Kuo; Naijun Zheng; Kuo-Hsuan Hung; Hung-Yi Lee; Yu Tsao 001; Hsin-Min Wang; Helen Meng (ICASSP, 2022)

Boosting Self-Supervised Embeddings for Speech Enhancement. - Kuo-Hsuan Hung; Szu-Wei Fu; Huan-Hsin Tseng; Hsin-Tien Chiang; Yu Tsao 001; Chii-Wann Lin (INTERSPEECH, 2022)

CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application. - Yu-Wen Chen; Kuo-Hsuan Hung; You-Jin Li; Alexander Chao-Fu Kang; Ya-Hsin Lai; Kai-Chun Liu; Szu-Wei Fu; Syu-Siang Wang; Yu Tsao 001 (IEEE Access, 2022)

Audio-Visual Speech Enhancement and Separation by Leveraging Multi-Modal Self-Supervised Embeddings. - I-Chun Chern; Kuo-Hsuan Hung; Yi-Ting Chen; Tassadaq Hussain; Mandar Gogate; Amir Hussain 001; Yu Tsao 001; Jen-Cheng Hou (CoRR, 2022)

Deep-Learning-Based Signal Enhancement of Low-Resolution Accelerometer for Fall Detection Systems. - Kai-Chun Liu; Kuo-Hsuan Hung; Chia-Yeh Hsieh; Hsiang-Yun Huang; Chia-Tai Chan; Yu Tsao 001 (IEEE Trans. Cogn. Dev. Syst., 2022)

Study on the Correlation Between Objective Evaluations and Subjective Speech Quality and Intelligibility. - Hsin-Tien Chiang; Kuo-Hsuan Hung; Szu-Wei Fu; Heng-Cheng Kuo; Ming-Hsueh Tsai; Yu Tsao 001 (ASRU, 2023)

Audio-Visual Speech Enhancement and Separation by Utilizing Multi-Modal Self-Supervised Embeddings. - I-Chun Chern; Kuo-Hsuan Hung; Yi-Ting Chen; Tassadaq Hussain; Mandar Gogate; Amir Hussain 001; Yu Tsao 001; Jen-Cheng Hou (ICASSP Workshops, 2023)

Interpretations of Domain Adaptations via Layer Variational Analysis. - Huan-Hsin Tseng; Hsin-Yi Lin; Kuo-Hsuan Hung; Yu Tsao 001 (ICLR, 2023)

Voice Direction-Of-Arrival Conversion. - I-Chun Chern; Steffi Chern; Heng-Cheng Kuo; Huan-Hsin Tseng; Kuo-Hsuan Hung; Yu Tsao 001 (MLSP, 2023)

Self-supervised based general laboratory progress pretrained model for cardiovascular event detection. - Li-Chin Chen; Kuo-Hsuan Hung; Yi-Ju Tseng; Hsin-Yao Wang; Tse-Min Lu; Wei-Chieh Huang; Yu Tsao 001 (CoRR, 2023)

Preoperative Prognosis Assessment of Lumbar Spinal Surgery for Low Back Pain and Sciatica Patients based on Multimodalities and Multimodal Learning. - Li-Chin Chen; Jung-Nien Lai; Hung-En Lin; Hsien-Te Chen; Kuo-Hsuan Hung; Yu Tsao 001 (CoRR, 2023)

MECG-E: Mamba-based ECG Enhancer for Baseline Wander Removal. - Kuo-Hsuan Hung; Kuan-Chen Wang; Kai-Chun Liu; Wei-Lun Chen; Xugang Lu; Yu Tsao 001; Chii-Wann Lin (IEEE Big Data, 2024)

Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech. - Szu-Wei Fu; Kuo-Hsuan Hung; Yu Tsao 001; Yu-Chiang Frank Wang (ICLR, 2024)

Prognosticating Lumbar Spinal Surgery Outcomes for Low Back Pain and Sciatica Patients by Utilizing Preoperative Assessments from Western and Eastern Medicine and Multimodal Fusion Learning Techniques. - Li-Chin Chen; Jung-Nien Lai; Hung-En Lin; Hsien-Te Chen; Kuo-Hsuan Hung; Yu Tsao 001 (ICMHI, 2024)

Exploiting Consistency-Preserving Loss and Perceptual Contrast Stretching to Boost SSL-Based Speech Enhancement. - Muhammad Salman Khan; Moreno La Quatra; Kuo-Hsuan Hung; Szu-Wei Fu; Sabato Marco Siniscalchi; Yu Tsao 001 (MMSP, 2024)

Robust Audio-Visual Speech Enhancement: Correcting Misassignments in Complex Environments With Advanced Post-Processing. - Wenze Ren; Kuo-Hsuan Hung; Rong Chao; You-Jin Li; Hsin-Min Wang; Yu Tsao 001 (O-COCOSDA, 2024)

An SRAM-Based Reconfigurable Cognitive Computation Matrix for Sensor Edge Applications. - Sheng-Yu Peng; I-Chun Liu; Yi-Heng Wu; Ting-Ju Lin; Chun-Jui Chen; Xiu-Zhu Li; Yong-Qi Cheng; Pin-Han Lin; Kuo-Hsuan Hung; Yu Tsao 001 (IEEE J. Solid State Circuits, 2024)

Leveraging Joint Spectral and Spatial Learning with MAMBA for Multichannel Speech Enhancement. - Wenze Ren; Haibin Wu; Yi-Cheng Lin; Xuanjun Chen; Rong Chao; Kuo-Hsuan Hung; You-Jin Li; Wen-Yuan Ting; Hsin-Min Wang; Yu Tsao 001 (ICASSP, 2025)

Linguistic Knowledge Transfer Learning for Speech Enhancement. - Kuo-Hsuan Hung; Xugang Lu; Szu-Wei Fu; Huan-Hsin Tseng; Hsin-Yi Lin; Chii-Wann Lin; Yu Tsao 001 (CoRR, 2025)