Szu-Wei Fu - RankMe

102 papers A* 4A 16C 3Misc 4Journal 60Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How Auditory Knowledge in LLM Backbones Shapes Audio Language Models: A Holistic Evaluation. CoRR Ke-Han Lu, Szu-Wei Fu, Chao-Han Huck Yang, Zhehuai Chen, Sung-Feng Huang, Chih-Kai Yang, Yi-Cheng Lin, Chi-Yuan Hsiao, Wenze Ren, En-Pei Hu, Yu-Han Huang, An-Yu Cheng, Cheng-Han Chiang, Yu Tsao, Yu-Chiang Frank Wang, Hung-yi Lee
2026	J	`jnl`	Rethinking Training Targets, Architectures and Data Quality for Universal Speech Enhancement. CoRR Szu-Wei Fu, Rong Chao, Xuesong Yang, Sung-Feng Huang, Ryandhimas E. Zezario, Rauf Nasretdinov, Ante Jukic, Yu Tsao, Yu-Chiang Frank Wang
2026	J	`jnl`	Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni Perception. CoRR Zhen Wan, Chao-Han Huck Yang, Jinchuan Tian, Hanrong Ye, Ankita Pasad, Szu-Wei Fu, Arushi Goel, Ryo Hachiuma, Shizhe Diao, Kunal Dhawan, Sreyan Ghosh, Yusuke Hirota, Zhehuai Chen, Rafael Valle, Ehsan Hosseini-Asl, Chenhui Chu, Shinji Watanabe, Yu-Chiang Frank Wang, Boris Ginsburg
2025	J	`jnl`	DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal Alignment. CoRR Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, Chao-Han Huck Yang, Sung-Feng Huang, Chih-Kai Yang, Chee-En Yu, Chun-Wei Chen, Wei-Chih Chen, Chien-yu Huang, Yi-Cheng Lin, Yu-Xiang Lin, Chi-An Fu, Chun-Yi Kuan, Wenze Ren, Xuanjun Chen, Wei-Ping Huang, En-Pei Hu, Tzu-Quan Lin, Yuan-Kuei Wu, Kuan-Po Huang, Hsiao-Ying Huang, Huang-Cheng Chou, Kai-Wei Chang, Cheng-Han Chiang, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee
2025	J	`jnl`	Detecting the Undetectable: Assessing the Efficacy of Current Spoof Detection Methods Against Seamless Speech Edits. CoRR Sung-Feng Huang, Heng-Cheng Kuo, Zhehuai Chen, Xuesong Yang, Chao-Han Huck Yang, Yu Tsao, Yu-Chiang Frank Wang, Hung-yi Lee, Szu-Wei Fu
2025	Misc	`conf`	Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Data. ICASSP Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, Chao-Han Huck Yang, Jagadeesh Balam, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee
2025	J	`jnl`	Foundation Models for Speech Enhancement Leveraging Consistency Constraints and Contrast Stretching. IEEE Access Muhammad Salman Khan, Valerio Mario Salerno, Moreno La Quatra, Kuo-Hsuan Hung, Szu-Wei Fu, Yu Tsao, Sabato Marco Siniscalchi
2025	Misc	`conf`	Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and Restoration. ICASSP Pin-Jui Ku, Alexander H. Liu, Roman Korostik, Sung-Feng Huang, Szu-Wei Fu, Ante Jukic
2025	C	`conf`	HighRateMOS: Sampling-Rate Aware Modeling for Speech Quality Assessment. ASRU Wenze Ren, Yi-Cheng Lin, Wen-Chin Huang, Ryandhimas E. Zezario, Szu-Wei Fu, Sung-Feng Huang, Erica Cooper, Haibin Wu, Hung-Yu Wei, Hsin-Min Wang, Hung-yi Lee, Yu Tsao
2025	J	`jnl`	Investigating Safety Vulnerabilities of Large Audio-Language Models Under Speaker Emotional Variations. CoRR Bo-Han Feng, Chien-Feng Liu, Yu-Hsuan Li Liang, Chih-Kai Yang, Szu-Wei Fu, Zhehuai Chen, Ke-Han Lu, Sung-Feng Huang, Chao-Han Huck Yang, Yu-Chiang Frank Wang, Yun-Nung Chen, Hung-yi Lee
2025	J	`jnl`	Leveraging Mamba with Full-Face Vision for Audio-Visual Speech Enhancement. CoRR Rong Chao, Wenze Ren, You-Jin Li, Kuo-Hsuan Hung, Sung-Feng Huang, Szu-Wei Fu, Wen-Huang Cheng, Yu Tsao
2025	J	`jnl`	Linguistic Knowledge Transfer Learning for Speech Enhancement. CoRR Kuo-Hsuan Hung, Xugang Lu, Szu-Wei Fu, Huan-Hsin Tseng, Hsin-Yi Lin, Chii-Wann Lin, Yu Tsao
2025	—	`conf`	NeKo: Cross-Modality Post-Recognition Error Correction with Tasks-Guided Mixture-of-Experts Language Model. ACL (6) Yen-Ting Lin, Zhehuai Chen, Piotr Zelasko, Zhen Wan, Xuesong Yang, Zih-Ching Chen, Krishna C. Puvvada, Ke Hu, Szu-Wei Fu, Jun Wei Chiu, Jagadeesh Balam, Boris Ginsburg, Yu-Chiang Frank Wang, Chao-Han Huck Yang
2025	J	`jnl`	SAKE: Towards Editing Auditory Attribute Knowledge of Large Audio-Language Models. CoRR Chih-Kai Yang, Yen-Ting Piao, Tzu-Wen Hsu, Szu-Wei Fu, Zhehuai Chen, Ke-Han Lu, Sung-Feng Huang, Chao-Han Huck Yang, Yu-Chiang Frank Wang, Yun-Nung Chen, Hung-yi Lee
2025	J	`jnl`	Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations. CoRR Hung-Chun Hsu, Yuan-Ching Kuo, Chao-Han Huck Yang, Szu-Wei Fu, Hanrong Ye, Hongxu Yin, Yu-Chiang Frank Wang, Ming-Feng Tsai, Chuan-Ju Wang
2025	A	`conf`	Universal Speech Enhancement with Regression and Generative Mamba. INTERSPEECH Rong Chao, Rauf Nasretdinov, Yu-Chiang Frank Wang, Ante Jukic, Szu-Wei Fu, Yu Tsao
2025	J	`jnl`	Universal Speech Enhancement with Regression and Generative Mamba. CoRR Rong Chao, Rauf Nasretdinov, Yu-Chiang Frank Wang, Ante Jukic, Szu-Wei Fu, Yu Tsao
2025	A	`conf`	VoiceNoNG: Robust High-Quality Speech Editing Model without Hallucinations. INTERSPEECH Sung-Feng Huang, Heng-Cheng Kuo, Zhehuai Chen, Xuesong Yang, Pin-Jui Ku, Ante Jukic, Huck Yang, Yu Tsao, Yu-Chiang Frank Wang, Hung-yi Lee, Szu-Wei Fu
2024	A	`conf`	A Study On Incorporating Whisper For Robust Speech Assessment. ICME Ryandhimas E. Zezario, Yu-Wen Chen, Szu-Wei Fu, Yu Tsao, Hsin-Min Wang, Chiou-Shann Fuh
2024	—	`conf`	An Investigation of Incorporating Mamba For Speech Enhancement. SLT Rong Chao, Wen-Huang Cheng, Moreno La Quatra, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Szu-Wei Fu, Yu Tsao
2024	J	`jnl`	An Investigation of Incorporating Mamba for Speech Enhancement. CoRR Rong Chao, Wen-Huang Cheng, Moreno La Quatra, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Szu-Wei Fu, Yu Tsao
2024	A	`conf`	DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment. INTERSPEECH Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, He Huang, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee
2024	J	`jnl`	DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment. CoRR Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, He Huang, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee
2024	—	`conf`	Detecting the Undetectable: Assessing the Efficacy of Current Spoof Detection Methods Against Seamless Speech Edits. SLT Sung-Feng Huang, Heng-Cheng Kuo, Zhehuai Chen, Xuesong Yang, Chao-Han Huck Yang, Yu Tsao, Yu-Chiang Frank Wang, Hung-yi Lee, Szu-Wei Fu
2024	J	`jnl`	Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Data. CoRR Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, Chao-Han Huck Yang, Jagadeesh Balam, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee
2024	C	`conf`	Exploiting Consistency-Preserving Loss and Perceptual Contrast Stretching to Boost SSL-Based Speech Enhancement. MMSP Muhammad Salman Khan, Moreno La Quatra, Kuo-Hsuan Hung, Szu-Wei Fu, Sabato Marco Siniscalchi, Yu Tsao
2024	J	`jnl`	Exploiting Consistency-Preserving Loss and Perceptual Contrast Stretching to Boost SSL-based Speech Enhancement. CoRR Muhammad Salman Khan, Moreno La Quatra, Kuo-Hsuan Hung, Szu-Wei Fu, Sabato Marco Siniscalchi, Yu Tsao
2024	J	`jnl`	Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and Restoration. CoRR Pin-Jui Ku, Alexander H. Liu, Roman Korostik, Sung-Feng Huang, Szu-Wei Fu, Ante Jukic
2024	J	`jnl`	NeKo: Toward Post Recognition Generative Correction Large Language Models with Task-Oriented Experts. CoRR Yen-Ting Lin, Chao-Han Huck Yang, Zhehuai Chen, Piotr Zelasko, Xuesong Yang, Zih-Ching Chen, Krishna C. Puvvada, Szu-Wei Fu, Ke Hu, Jun Wei Chiu, Jagadeesh Balam, Boris Ginsburg, Yu-Chiang Frank Wang
2024	A*	`conf`	RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier. NeurIPS Pin-Yen Huang, Szu-Wei Fu, Yu Tsao
2024	J	`jnl`	RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier. CoRR Pin-Yen Huang, Szu-Wei Fu, Yu Tsao
2024	A*	`conf`	Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech. ICLR Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Yu-Chiang Frank Wang
2024	J	`jnl`	Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech. CoRR Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Yu-Chiang Frank Wang
2024	J	`jnl`	The VoiceMOS Challenge 2024: Beyond Speech Quality Prediction. CoRR Wen-Chin Huang, Szu-Wei Fu, Erica Cooper, Ryandhimas E. Zezario, Tomoki Toda, Hsin-Min Wang, Junichi Yamagishi, Yu Tsao
2024	—	`conf`	The Voicemos Challenge 2024: Beyond Speech Quality Prediction. SLT Wen-Chin Huang, Szu-Wei Fu, Erica Cooper, Ryandhimas E. Zezario, Tomoki Toda, Hsin-Min Wang, Junichi Yamagishi, Yu Tsao
2023	J	`jnl`	A Study on Incorporating Whisper for Robust Speech Assessment. CoRR Ryandhimas E. Zezario, Yu-Wen Chen, Szu-Wei Fu, Yu Tsao, Hsin-Min Wang, Chiou-Shann Fuh
2023	J	`jnl`	Deep Learning-Based Non-Intrusive Multi-Objective Speech Assessment Model With Cross-Domain Features. IEEE ACM Trans. Audio Speech Lang. Process. Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
2023	J	`jnl`	Multi-objective Non-intrusive Hearing-aid Speech Assessment Model. CoRR Hsin-Tien Chiang, Szu-Wei Fu, Hsin-Min Wang, Yu Tsao, John H. L. Hansen
2023	J	`jnl`	QuAVF: Quality-aware Audio-Visual Fusion for Ego4D Talking to Me Challenge. CoRR Hsi-Che Lin, Chien-Yi Wang, Min-Hung Chen, Szu-Wei Fu, Yu-Chiang Frank Wang
2023	Misc	`conf`	Real-Time Speech Interruption Analysis: from Cloud to Client Deployment. ICASSP Quchen Fu, Szu-Wei Fu, Yaran Fan, Yu Wu, Zhuo Chen, Jayant Gupchup, Ross Cutler
2023	C	`conf`	Study on the Correlation Between Objective Evaluations and Subjective Speech Quality and Intelligibility. ASRU Hsin-Tien Chiang, Kuo-Hsuan Hung, Szu-Wei Fu, Heng-Cheng Kuo, Ming-Hsueh Tsai, Yu Tsao
2022	A	`conf`	Boosting Self-Supervised Embeddings for Speech Enhancement. INTERSPEECH Kuo-Hsuan Hung, Szu-Wei Fu, Huan-Hsin Tseng, Hsin-Tien Chiang, Yu Tsao, Chii-Wann Lin
2022	J	`jnl`	CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application. IEEE Access 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
2022	A*	`conf`	Improving Meeting Inclusiveness using Speech Interruption Analysis. ACM Multimedia Szu-Wei Fu, Yaran Fan, Yasaman Hosseinkashi, Jayant Gupchup, Ross Cutler
2022	A	`conf`	MTI-Net: A Multi-Target Speech Intelligibility Prediction Model. INTERSPEECH Ryandhimas Edo Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
2022	J	`jnl`	MTI-Net: A Multi-Target Speech Intelligibility Prediction Model. CoRR Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
2022	Misc	`conf`	MetricGAN-U: Unsupervised Speech Enhancement/ Dereverberation Based Only on Noisy/ Reverberated Speech. ICASSP Szu-Wei Fu, Cheng Yu, Kuo-Hsuan Hung, Mirco Ravanelli, Yu Tsao
2022	A	`conf`	OSSEM: one-shot speaker adaptive speech enhancement using meta learning. INTERSPEECH Cheng Yu, Szu-Wei Fu, Tsun-An Hsieh, Yu Tsao, Mirco Ravanelli
2022	A	`conf`	Perceptual Contrast Stretching on Target Feature for Speech Enhancement. INTERSPEECH Rong Chao, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao
2022	J	`jnl`	Perceptual Contrast Stretching on Target Feature for Speech Enhancement. CoRR Rong Chao, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao
2022	J	`jnl`	Real-time Speech Interruption Analysis: From Cloud to Client Deployment. CoRR Quchen Fu, Szu-Wei Fu, Yaran Fan, Yu Wu, Zhuo Chen, Jayant Gupchup, Ross Cutler
2022	J	`jnl`	SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points. IEEE ACM Trans. Audio Speech Lang. Process. Yu-Chen Lin, Cheng Yu, Yi-Te Hsu, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo
2021	J	`jnl`	A Study of Joint Effect on Denoising Techniques and Visual Cues to Improve Speech Intelligibility in Cochlear Implant Simulation. IEEE Trans. Cogn. Dev. Syst. Rung-Yu Tseng, Taowei Wang, Szu-Wei Fu, Chia-ying Lee, Yu Tsao
2021	J	`jnl`	Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features. CoRR Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
2021	A	`conf`	Improving Perceptual Quality by Phone-Fortified Perceptual Loss Using Wasserstein Distance for Speech Enhancement. Interspeech Tsun-An Hsieh, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao
2021	A	`conf`	MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement. Interspeech Szu-Wei Fu, Cheng Yu, Tsun-An Hsieh, Peter Plantinga, Mirco Ravanelli, Xugang Lu, Yu Tsao
2021	J	`jnl`	MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement. CoRR Szu-Wei Fu, Cheng Yu, Tsun-An Hsieh, Peter Plantinga, Mirco Ravanelli, Xugang Lu, Yu Tsao
2021	J	`jnl`	MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only on noisy/ reverberated speech. CoRR Szu-Wei Fu, Cheng Yu, Kuo-Hsuan Hung, Mirco Ravanelli, Yu Tsao
2021	J	`jnl`	OSSEM: one-shot speaker adaptive speech enhancement using meta learning. CoRR Cheng Yu, Szu-Wei Fu, Tsun-An Hsieh, Yu Tsao, Mirco Ravanelli
2021	J	`jnl`	SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points. CoRR Yu-Chen Lin, Cheng Yu, Yi-Te Hsu, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo
2021	J	`jnl`	SpeechBrain: A General-Purpose Speech Toolkit. CoRR Mirco Ravanelli, Titouan Parcollet, Peter Plantinga, Aku Rouhe, Samuele Cornell, Loren Lugosch, Cem Subakan, Nauman Dawalatabad, Abdelwahab Heba, Jianyuan Zhong, Ju-Chieh Chou, Sung-Lin Yeh, Szu-Wei Fu, Chien-Feng Liao, Elena Rastorgueva, François Grondin, William Aris, Hwidong Na, Yan Gao, Renato De Mori, Yoshua Bengio
2020	J	`jnl`	Boosting Objective Scores of Speech Enhancement Model through MetricGAN Post-Processing. CoRR 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
2020	—	`conf`	Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing. APSIPA 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, Yu Tsao
2020	J	`jnl`	Improving Perceptual Quality by Phone-Fortified Perceptual Loss for Speech Enhancement. CoRR Tsun-An Hsieh, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao
2020	J	`jnl`	Learning With Learned Loss Function: Speech Enhancement With Quality-Net to Improve Perceptual Evaluation of Speech Quality. IEEE Signal Process. Lett. Szu-Wei Fu, Chien-Feng Liao, Yu Tsao
2020	—	`conf`	STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model. APSIPA Ryandhimas E. Zezario, Szu-Wei Fu, Chiou-Shann Fuh, Yu Tsao, Hsin-Min Wang
2020	J	`jnl`	STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model. CoRR Ryandhimas E. Zezario, Szu-Wei Fu, Chiou-Shann Fuh, Yu Tsao, Hsin-Min Wang
2020	A	`conf`	iMetricGAN: Intelligibility Enhancement for Speech-in-Noise Using Generative Adversarial Network-Based Metric Learning. INTERSPEECH Haoyu Li, Szu-Wei Fu, Yu Tsao, Junichi Yamagishi
2020	J	`jnl`	iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric Learning. CoRR Haoyu Li, Szu-Wei Fu, Yu Tsao, Junichi Yamagishi
2019	A	`conf`	IA-NET: Acceleration and Compression of Speech Enhancement Using Integer-Adder Deep Neural Network. INTERSPEECH Yu-Chen Lin, Yi-Te Hsu, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo
2019	J	`jnl`	Improving the Intelligibility of Electric and Acoustic Stimulation Speech Using Fully Convolutional Networks Based Speech Enhancement. CoRR Natalie Yu-Hsien Wang, Hsiao-Lan Sharon Wang, Taowei Wang, Szu-Wei Fu, Xugang Lu, Yu Tsao, Hsin-Min Wang
2019	J	`jnl`	Increasing Compactness Of Deep Learning Based Speech Enhancement Models With Parameter Pruning And Quantization Techniques. CoRR Jyun-Yi Wu, Cheng Yu, Szu-Wei Fu, Chih-Ting Liu, Shao-Yi Chien, Yu Tsao
2019	J	`jnl`	Increasing Compactness of Deep Learning Based Speech Enhancement Models With Parameter Pruning and Quantization Techniques. IEEE Signal Process. Lett. Jyun-Yi Wu, Cheng Yu, Szu-Wei Fu, Chih-Ting Liu, Shao-Yi Chien, Yu Tsao
2019	J	`jnl`	Learning with Learned Loss Function: Speech Enhancement with Quality-Net to Improve Perceptual Evaluation of Speech Quality. CoRR Szu-Wei Fu, Chien-Feng Liao, Yu Tsao
2019	J	`jnl`	MOSNet: Deep Learning based Objective Assessment for Voice Conversion. CoRR Chen-Chou Lo, Szu-Wei Fu, Wen-Chin Huang, Xin Wang, Junichi Yamagishi, Yu Tsao, Hsin-Min Wang
2019	A	`conf`	MOSNet: Deep Learning-Based Objective Assessment for Voice Conversion. INTERSPEECH Chen-Chou Lo, Szu-Wei Fu, Wen-Chin Huang, Xin Wang, Junichi Yamagishi, Yu Tsao, Hsin-Min Wang
2019	A*	`conf`	MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement. ICML Szu-Wei Fu, Chien-Feng Liao, Yu Tsao, Shou-De Lin
2019	J	`jnl`	MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement. CoRR Szu-Wei Fu, Chien-Feng Liao, Yu Tsao, Shou-De Lin
2019	J	`jnl`	Multichannel Speech Enhancement by Raw Waveform-mapping using Fully Convolutional Networks. CoRR Chang-Le Liu, Szu-Wei Fu, You-Jin Lee, Yu Tsao, Jen-Wei Huang, Hsin-Min Wang
2019	J	`jnl`	Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders. IEEE Access Hsin-Tien Chiang, Yi-Yen Hsieh, Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Shao-Yi Chien
2019	J	`jnl`	Seeing Voices in Noise: A Study of Audiovisual-Enhanced Vocoded Speech Intelligibility in Cochlear Implant Simulation. CoRR Rung-Yu Tseng, Taowei Wang, Szu-Wei Fu, Yu Tsao, Chia-ying Lee
2019	A	`conf`	Specialized Speech Enhancement Model Selection Based on Learned Non-Intrusive Quality Assessment Metric. INTERSPEECH Ryandhimas E. Zezario, Szu-Wei Fu, Xugang Lu, Hsin-Min Wang, Yu Tsao
2019	J	`jnl`	Time-Domain Multi-modal Bone/air Conducted Speech Enhancement. CoRR Cheng Yu, Yan-Ting Lin, Kuo-Hsuan Hung, Syu-Siang Wang, Szu-Wei Fu, Yu Tsao, Jeih-weih Hung
2018	—	`conf`	A Study on Speech Enhancement Using Exponent-Only Floating Point Quantized Neural Network (EOFP-QNN). SLT Yi-Te Hsu, Yu-Chen Lin, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo
2018	J	`jnl`	A study on speech enhancement using exponent-only floating point quantized neural network (EOFP-QNN). CoRR Yi-Te Hsu, Yu-Chen Lin, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo
2018	J	`jnl`	End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. Szu-Wei Fu, Taowei Wang, Yu Tsao, Xugang Lu, Hisashi Kawai
2018	A	`conf`	Quality-Net: An End-to-End Non-intrusive Speech Quality Assessment Model Based on BLSTM. INTERSPEECH Szu-Wei Fu, Yu Tsao, Hsin-Te Hwang, Hsin-Min Wang
2018	J	`jnl`	Quality-Net: An End-to-End Non-intrusive Speech Quality Assessment Model based on BLSTM. CoRR Szu-Wei Fu, Yu Tsao, Hsin-Te Hwang, Hsin-Min Wang
2017	—	`conf`	Collagen image compression using the JPEG-based predictive lossless coding scheme. APSIPA Szu-Wei Fu, Jian-Jiun Ding, Ying-Wun Huang, Ching-Wen Hsiao, Hsin-Hui Chen
2017	—	`conf`	Complex spectrogram enhancement by convolutional neural network with multi-metrics learning. MLSP Szu-Wei Fu, Ting-Yao Hu, Yu Tsao, Xugang Lu
2017	J	`jnl`	End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks. CoRR Szu-Wei Fu, Yu Tsao, Xugang Lu, Hisashi Kawai
2017	J	`jnl`	Joint Dictionary Learning-Based Non-Negative Matrix Factorization for Voice Conversion to Improve Speech Intelligibility After Oral Surgery. IEEE Trans. Biomed. Eng. Szu-Wei Fu, Pei-Chun Li, Ying-Hui Lai, Cheng-Chien Yang, Li-Chun Hsieh, Yu Tsao
2017	J	`jnl`	Multi-Metrics Learning for Speech Enhancement. CoRR Szu-Wei Fu, Ting-Yao Hu, Yu Tsao, Xugang Lu
2017	J	`jnl`	Raw Waveform-based Speech Enhancement by Fully Convolutional Networks. CoRR Szu-Wei Fu, Yu Tsao, Xugang Lu, Hisashi Kawai
2017	—	`conf`	Raw waveform-based speech enhancement by fully convolutional networks. APSIPA Szu-Wei Fu, Yu Tsao, Xugang Lu, Hisashi Kawai
2016	J	`jnl`	Maximum Entropy Learning with Deep Belief Networks. Entropy Payton Lin, Szu-Wei Fu, Syu-Siang Wang, Ying-Hui Lai, Yu Tsao
2016	A	`conf`	SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement. INTERSPEECH Szu-Wei Fu, Yu Tsao, Xugang Lu
2015	—	`conf`	Horizontal adaptive disparity estimation scheme for stereoscopic images. APSIPA Szu-Wei Fu, Jian-Jiun Ding, Ching-Wen Hsiao, Po-Jen Chen
2014	—	`conf`	A novel compression algorithm for IMFs of Hilbert-Huang transform. DSP Ying-Jou Chen, Jian-Jiun Ding, Szu-Wei Fu
2014	—	`conf`	Compression for the feature points with binary descriptors. DSP Jian-Jiun Ding, Szu-Wei Fu, Ching-Wen Hsiao, Pin-Xuan Lee, Yen-Chun Chen
2014	—	`conf`	End-point preserved stroke extraction. ICAILP Jian-Jiun Ding, Pin-Xuan Lee, Szu-Wei Fu, Hao-Hsuan Chang, Chen-Wei Huang
2014	—	`conf`	Image deblurring using a pyramid-based Richardson-Lucy algorithm. DSP Jian-Jiun Ding, Wei-De Chang, Yu Chen, Szu-Wei Fu, Chir-Weei Chang, Chuan-Chung Chang