SpeechBrain: A general-purpose speech toolkit M Ravanelli, T Parcollet, P Plantinga, A Rouhe, S Cornell, L Lugosch, ... arXiv preprint arXiv:2106.04624, 2021 | 522 | 2021 |
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 | 323 | 2018 |
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 | 299 | 2019 |
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 | 256 | 2019 |
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 | 256 | 2017 |
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 | 254 | 2019 |
SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement. SW Fu, Y Tsao, X Lu Interspeech, 3768-3772, 2016 | 207 | 2016 |
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 | 192 | 2017 |
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 | 181 | 2021 |
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 | 173 | 2018 |
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 | 86 | 2019 |
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 | 58 | 2022 |
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 | 52 | 2020 |
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 | 52 | 2016 |
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 | 50 | 2020 |
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 | 37 | 2022 |
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 | 34 | 2020 |
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 | 33 | 2020 |
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 | 28 | 2022 |
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 | 27 | 2019 |