Szu-Wei Fu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 66

Top Topics

Speech Enhancement

Perceptual Quality

Top Venues

Publications

Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Yu-Chiang Frank Wang
Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech. ICLR (2024)
Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, He Huang, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee
DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment. CoRR (2024)
Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Yu-Chiang Frank Wang
Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech. CoRR (2024)
Rong Chao, Wen-Huang Cheng, Moreno La Quatra, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Szu-Wei Fu, Yu Tsao
An Investigation of Incorporating Mamba for Speech Enhancement. CoRR (2024)
Hsi-Che Lin, Chien-Yi Wang, Min-Hung Chen, Szu-Wei Fu, Yu-Chiang Frank Wang
QuAVF: Quality-aware Audio-Visual Fusion for Ego4D Talking to Me Challenge. CoRR (2023)
Ryandhimas E. Zezario, Yu-Wen Chen, Szu-Wei Fu, Yu Tsao, Hsin-Min Wang, Chiou-Shann Fuh
A Study on Incorporating Whisper for Robust Speech Assessment. CoRR (2023)
Hsin-Tien Chiang, Szu-Wei Fu, Hsin-Min Wang, Yu Tsao, John H. L. Hansen
Multi-objective Non-intrusive Hearing-aid Speech Assessment Model. CoRR (2023)
Hsin-Tien Chiang, Kuo-Hsuan Hung, Szu-Wei Fu, Heng-Cheng Kuo, Ming-Hsueh Tsai, Yu Tsao
Study on the Correlation Between Objective Evaluations and Subjective Speech Quality and Intelligibility. ASRU (2023)
Quchen Fu, Szu-Wei Fu, Yaran Fan, Yu Wu, Zhuo Chen, Jayant Gupchup, Ross Cutler
Real-Time Speech Interruption Analysis: from Cloud to Client Deployment. ICASSP (2023)
Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
Deep Learning-Based Non-Intrusive Multi-Objective Speech Assessment Model With Cross-Domain Features. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Szu-Wei Fu, Cheng Yu, Kuo-Hsuan Hung, Mirco Ravanelli, Yu Tsao
MetricGAN-U: Unsupervised Speech Enhancement/ Dereverberation Based Only on Noisy/ Reverberated Speech. ICASSP (2022)
Kuo-Hsuan Hung, Szu-Wei Fu, Huan-Hsin Tseng, Hsin-Tien Chiang, Yu Tsao, Chii-Wann Lin
Boosting Self-Supervised Embeddings for Speech Enhancement. INTERSPEECH (2022)
Rong Chao, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao
Perceptual Contrast Stretching on Target Feature for Speech Enhancement. CoRR (2022)
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
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application. IEEE Access 10 (2022)
Yu-Chen Lin, Cheng Yu, Yi-Te Hsu, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo
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. 30 (2022)
Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
MTI-Net: A Multi-Target Speech Intelligibility Prediction Model. CoRR (2022)
Szu-Wei Fu, Yaran Fan, Yasaman Hosseinkashi, Jayant Gupchup, Ross Cutler
Improving Meeting Inclusiveness using Speech Interruption Analysis. ACM Multimedia (2022)
Ryandhimas Edo Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
MTI-Net: A Multi-Target Speech Intelligibility Prediction Model. INTERSPEECH (2022)
Quchen Fu, Szu-Wei Fu, Yaran Fan, Yu Wu, Zhuo Chen, Jayant Gupchup, Ross Cutler
Real-time Speech Interruption Analysis: From Cloud to Client Deployment. CoRR (2022)
Cheng Yu, Szu-Wei Fu, Tsun-An Hsieh, Yu Tsao, Mirco Ravanelli
OSSEM: one-shot speaker adaptive speech enhancement using meta learning. INTERSPEECH (2022)
Rong Chao, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao
Perceptual Contrast Stretching on Target Feature for Speech Enhancement. INTERSPEECH (2022)
Szu-Wei Fu, Cheng Yu, Kuo-Hsuan Hung, Mirco Ravanelli, Yu Tsao
MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only on noisy/ reverberated speech. CoRR (2021)
Cheng Yu, Szu-Wei Fu, Tsun-An Hsieh, Yu Tsao, Mirco Ravanelli
OSSEM: one-shot speaker adaptive speech enhancement using meta learning. CoRR (2021)
Yu-Chen Lin, Cheng Yu, Yi-Te Hsu, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo
SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points. CoRR (2021)
Szu-Wei Fu, Cheng Yu, Tsun-An Hsieh, Peter Plantinga, Mirco Ravanelli, Xugang Lu, Yu Tsao
MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement. Interspeech (2021)
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
SpeechBrain: A General-Purpose Speech Toolkit. CoRR (2021)
Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features. CoRR (2021)
Rung-Yu Tseng, Taowei Wang, Szu-Wei Fu, Chia-Ying Lee, Yu Tsao
A Study of Joint Effect on Denoising Techniques and Visual Cues to Improve Speech Intelligibility in Cochlear Implant Simulation. IEEE Trans. Cogn. Dev. Syst. 13 (4) (2021)
Tsun-An Hsieh, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao
Improving Perceptual Quality by Phone-Fortified Perceptual Loss Using Wasserstein Distance for Speech Enhancement. Interspeech (2021)
Szu-Wei Fu, Cheng Yu, Tsun-An Hsieh, Peter Plantinga, Mirco Ravanelli, Xugang Lu, Yu Tsao
MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement. CoRR (2021)
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
Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing. APSIPA (2020)
Tsun-An Hsieh, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao
Improving Perceptual Quality by Phone-Fortified Perceptual Loss for Speech Enhancement. CoRR (2020)
Haoyu Li, Szu-Wei Fu, Yu Tsao, Junichi Yamagishi
iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric Learning. CoRR (2020)
Ryandhimas E. Zezario, Szu-Wei Fu, Chiou-Shann Fuh, Yu Tsao, Hsin-Min Wang
STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model. APSIPA (2020)
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
Boosting Objective Scores of Speech Enhancement Model through MetricGAN Post-Processing. CoRR (2020)
Haoyu Li, Szu-Wei Fu, Yu Tsao, Junichi Yamagishi
iMetricGAN: Intelligibility Enhancement for Speech-in-Noise Using Generative Adversarial Network-Based Metric Learning. INTERSPEECH (2020)
Ryandhimas E. Zezario, Szu-Wei Fu, Chiou-Shann Fuh, Yu Tsao, Hsin-Min Wang
STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model. CoRR (2020)
Szu-Wei Fu, Chien-Feng Liao, Yu Tsao
Learning With Learned Loss Function: Speech Enhancement With Quality-Net to Improve Perceptual Evaluation of Speech Quality. IEEE Signal Process. Lett. 27 (2020)
Cheng Yu, Yan-Ting Lin, Kuo-Hsuan Hung, Syu-Siang Wang, Szu-Wei Fu, Yu Tsao, Jeih-weih Hung
Time-Domain Multi-modal Bone/air Conducted Speech Enhancement. CoRR (2019)
Natalie Yu-Hsien Wang, Hsiao-Lan Sharon Wang, Taowei Wang, Szu-Wei Fu, Xugang Lu, Yu Tsao, Hsin-Min Wang
Improving the Intelligibility of Electric and Acoustic Stimulation Speech Using Fully Convolutional Networks Based Speech Enhancement. CoRR (2019)
Chen-Chou Lo, Szu-Wei Fu, Wen-Chin Huang, Xin Wang, Junichi Yamagishi, Yu Tsao, Hsin-Min Wang
MOSNet: Deep Learning based Objective Assessment for Voice Conversion. CoRR (2019)
Hsin-Tien Chiang, Yi-Yen Hsieh, Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Shao-Yi Chien
Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders. IEEE Access 7 (2019)
Szu-Wei Fu, Chien-Feng Liao, Yu Tsao, Shou-De Lin
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement. ICML (2019)
Chang-Le Liu, Szu-Wei Fu, You-Jin Lee, Yu Tsao, Jen-Wei Huang, Hsin-Min Wang
Multichannel Speech Enhancement by Raw Waveform-mapping using Fully Convolutional Networks. CoRR (2019)
Rung-Yu Tseng, Taowei Wang, Szu-Wei Fu, Yu Tsao, Chia-Ying Lee
Seeing Voices in Noise: A Study of Audiovisual-Enhanced Vocoded Speech Intelligibility in Cochlear Implant Simulation. CoRR (2019)
Jyun-Yi Wu, Cheng Yu, Szu-Wei Fu, Chih-Ting Liu, Shao-Yi Chien, Yu Tsao
Increasing Compactness of Deep Learning Based Speech Enhancement Models With Parameter Pruning and Quantization Techniques. IEEE Signal Process. Lett. 26 (12) (2019)
Yu-Chen Lin, Yi-Te Hsu, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo
IA-NET: Acceleration and Compression of Speech Enhancement Using Integer-Adder Deep Neural Network. INTERSPEECH (2019)
Szu-Wei Fu, Chien-Feng Liao, Yu Tsao, Shou-De Lin
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement. CoRR (2019)
Chen-Chou Lo, Szu-Wei Fu, Wen-Chin Huang, Xin Wang, Junichi Yamagishi, Yu Tsao, Hsin-Min Wang
MOSNet: Deep Learning-Based Objective Assessment for Voice Conversion. INTERSPEECH (2019)
Ryandhimas E. Zezario, Szu-Wei Fu, Xugang Lu, Hsin-Min Wang, Yu Tsao
Specialized Speech Enhancement Model Selection Based on Learned Non-Intrusive Quality Assessment Metric. INTERSPEECH (2019)
Szu-Wei Fu, Chien-Feng Liao, Yu Tsao
Learning with Learned Loss Function: Speech Enhancement with Quality-Net to Improve Perceptual Evaluation of Speech Quality. CoRR (2019)
Jyun-Yi Wu, Cheng Yu, Szu-Wei Fu, Chih-Ting Liu, Shao-Yi Chien, Yu Tsao
Increasing Compactness Of Deep Learning Based Speech Enhancement Models With Parameter Pruning And Quantization Techniques. CoRR (2019)
Yi-Te Hsu, Yu-Chen Lin, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo
A study on speech enhancement using exponent-only floating point quantized neural network (EOFP-QNN). CoRR (2018)
Szu-Wei Fu, Taowei Wang, Yu Tsao, Xugang Lu, Hisashi Kawai
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 26 (9) (2018)
Szu-Wei Fu, Yu Tsao, Hsin-Te Hwang, Hsin-Min Wang
Quality-Net: An End-to-End Non-intrusive Speech Quality Assessment Model Based on BLSTM. INTERSPEECH (2018)
Yi-Te Hsu, Yu-Chen Lin, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo
A Study on Speech Enhancement Using Exponent-Only Floating Point Quantized Neural Network (EOFP-QNN). SLT (2018)
Szu-Wei Fu, Yu Tsao, Hsin-Te Hwang, Hsin-Min Wang
Quality-Net: An End-to-End Non-intrusive Speech Quality Assessment Model based on BLSTM. CoRR (2018)
Szu-Wei Fu, Pei-Chun Li, Ying-Hui Lai, Cheng-Chien Yang, Li-Chun Hsieh, Yu Tsao
Joint Dictionary Learning-Based Non-Negative Matrix Factorization for Voice Conversion to Improve Speech Intelligibility After Oral Surgery. IEEE Trans. Biomed. Eng. 64 (11) (2017)
Szu-Wei Fu, Yu Tsao, Xugang Lu, Hisashi Kawai
Raw Waveform-based Speech Enhancement by Fully Convolutional Networks. CoRR (2017)
Szu-Wei Fu, Yu Tsao, Xugang Lu, Hisashi Kawai
Raw waveform-based speech enhancement by fully convolutional networks. APSIPA (2017)
Szu-Wei Fu, Jian-Jiun Ding, Ying-Wun Huang, Ching-Wen Hsiao, Hsin-Hui Chen
Collagen image compression using the JPEG-based predictive lossless coding scheme. APSIPA (2017)
Szu-Wei Fu, Yu Tsao, Xugang Lu, Hisashi Kawai
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks. CoRR (2017)
Szu-Wei Fu, Ting-yao Hu, Yu Tsao, Xugang Lu
Multi-Metrics Learning for Speech Enhancement. CoRR (2017)
Szu-Wei Fu, Ting-yao Hu, Yu Tsao, Xugang Lu
Complex spectrogram enhancement by convolutional neural network with multi-metrics learning. MLSP (2017)
Payton Lin, Szu-Wei Fu, Syu-Siang Wang, Ying-Hui Lai, Yu Tsao
Maximum Entropy Learning with Deep Belief Networks. Entropy 18 (7) (2016)
Szu-Wei Fu, Yu Tsao, Xugang Lu
SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement. INTERSPEECH (2016)
Szu-Wei Fu, Jian-Jiun Ding, Ching-Wen Hsiao, Po-Jen Chen
Horizontal adaptive disparity estimation scheme for stereoscopic images. APSIPA (2015)
Jian-Jiun Ding, Wei-De Chang, Yu Chen, Szu-Wei Fu, Chir-Weei Chang, Chuan-Chung Chang
Image deblurring using a pyramid-based Richardson-Lucy algorithm. DSP (2014)
Ying-Jou Chen, Jian-Jiun Ding, Szu-Wei Fu
A novel compression algorithm for IMFs of Hilbert-Huang transform. DSP (2014)
Jian-Jiun Ding, Szu-Wei Fu, Ching-Wen Hsiao, Pin-Xuan Lee, Yen-Chun Chen
Compression for the feature points with binary descriptors. DSP (2014)
Jian-Jiun Ding, Pin-Xuan Lee, Szu-Wei Fu, Hao-Hsuan Chang, Chen-Wei Huang
End-point preserved stroke extraction. ICAILP (2014)