Segui
Szu-Wei Fu
Szu-Wei Fu
Email verificata su nvidia.com - Home page
Titolo
Citata da
Citata da
Anno
SpeechBrain: A general-purpose speech toolkit
M Ravanelli, T Parcollet, P Plantinga, A Rouhe, S Cornell, L Lugosch, ...
arXiv preprint arXiv:2106.04624, 2021
4962021
End-to-end waveform utterance enhancement for direct evaluation metrics optimization by fully convolutional neural networks
SW Fu, TW Wang, Y Tsao, X Lu, H Kawai
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (9), 1570 …, 2018
3172018
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement
SW Fu, CF Liao, Y Tsao, SD Lin
(ICML 2019) International Conference on Machine Learning, 2019
2912019
Raw waveform-based speech enhancement by fully convolutional networks
SW Fu, Y Tsao, X Lu, H Kawai
2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017
2522017
Noise reduction in ECG signals using fully convolutional denoising autoencoders
HT Chiang, YY Hsieh, SW Fu, KH Hung, Y Tsao, SY Chien
Ieee Access 7, 60806-60813, 2019
2512019
MOSNet: Deep Learning based Objective Assessment for Voice Conversion
CC Lo, SW Fu, WC Huang, X Wang, J Yamagishi, Y Tsao, HM Wang
Interspeech 2019, 2019
2442019
SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement.
SW Fu, Y Tsao, X Lu
Interspeech, 3768-3772, 2016
2022016
Complex spectrogram enhancement by convolutional neural network with multi-metrics learning
SW Fu, T Hu, Y Tsao, X Lu
2017 IEEE 27th international workshop on machine learning for signal …, 2017
1872017
Metricgan+: An improved version of metricgan for speech enhancement
SW Fu, C Yu, TA Hsieh, P Plantinga, M Ravanelli, X Lu, Y Tsao
arXiv preprint arXiv:2104.03538, 2021
1732021
Quality-Net: An end-to-end non-intrusive speech quality assessment model based on blstm
SW Fu, Y Tsao, HT Hwang, HM Wang
Interspeech 2018, 2018
1652018
Learning with Learned Loss Function: Speech Enhancement with Quality-Net to Improve Perceptual Evaluation of Speech Quality
SW Fu, CF Liao, Y Tsao
IEEE Signal Processing Letters, 2019
822019
Deep learning-based non-intrusive multi-objective speech assessment model with cross-domain features
RE Zezario, SW Fu, F Chen, CS Fuh, HM Wang, Y Tsao
IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 54-70, 2022
532022
Joint dictionary learning-based non-negative matrix factorization for voice conversion to improve speech intelligibility after oral surgery
SW Fu, PC Li, YH Lai, CC Yang, LC Hsieh, Y Tsao
IEEE Transactions on Biomedical Engineering 64 (11), 2584-2594, 2016
522016
Multichannel speech enhancement by raw waveform-mapping using fully convolutional networks
CL Liu, SW Fu, YJ Li, JW Huang, HM Wang, Y Tsao
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1888-1900, 2020
512020
Improving perceptual quality by phone-fortified perceptual loss using wasserstein distance for speech enhancement
TA Hsieh, C Yu, SW Fu, X Lu, Y Tsao
arXiv preprint arXiv:2010.15174, 2020
462020
MetricGAN-U: Unsupervised speech enhancement/dereverberation based only on noisy/reverberated speech
SW Fu, C Yu, KH Hung, M Ravanelli, Y Tsao
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
362022
Time-domain multi-modal bone/air conducted speech enhancement
C Yu, KH Hung, SS Wang, Y Tsao, J Hung
IEEE Signal Processing Letters 27, 1035-1039, 2020
332020
STOI-Net: A deep learning based non-intrusive speech intelligibility assessment model
RE Zezario, SW Fu, CS Fuh, Y Tsao, HM Wang
2020 Asia-Pacific Signal and Information Processing Association Annual …, 2020
322020
Increasing compactness of deep learning based speech enhancement models with parameter pruning and quantization techniques
JY Wu, C Yu, SW Fu, CT Liu, SY Chien, Y Tsao
IEEE Signal Processing Letters 26 (12), 1887-1891, 2019
272019
Boosting self-supervised embeddings for speech enhancement
KH Hung, S Fu, HH Tseng, HT Chiang, Y Tsao, CW Lin
arXiv preprint arXiv:2204.03339, 2022
242022
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20