Xugang Lu
Geciteerd door
Geciteerd door
Speech enhancement based on deep denoising autoencoder.
X Lu, Y Tsao, S Matsuda, C Hori
Interspeech 2013, 436-440, 2013
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
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
SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement.
SW Fu, Y Tsao, X Lu
Interspeech, 3768-3772, 2016
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
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
An investigation of dependencies between frequency components and speaker characteristics for text-independent speaker identification
X Lu, J Dang
Speech communication 50 (4), 312-322, 2008
A deep denoising autoencoder approach to improving the intelligibility of vocoded speech in cochlear implant simulation
YH Lai, F Chen, SS Wang, X Lu, Y Tsao, CH Lee
IEEE Transactions on Biomedical Engineering 64 (7), 1568-1578, 2016
Deep learning–based noise reduction approach to improve speech intelligibility for cochlear implant recipients
YH Lai, Y Tsao, X Lu, F Chen, YT Su, KC Chen, YH Chen, LC Chen, ...
Ear and hearing 39 (4), 795-809, 2018
Speaker adaptive training using deep neural networks
T Ochiai, S Matsuda, X Lu, C Hori, S Katagiri
2014 IEEE international conference on acoustics, speech and signal …, 2014
Ensemble modeling of denoising autoencoder for speech spectrum restoration.
X Lu, Y Tsao, S Matsuda, C Hori
Interspeech 14, 885-889, 2014
Wavecrn: An efficient convolutional recurrent neural network for end-to-end speech enhancement
TA Hsieh, HM Wang, X Lu, Y Tsao
IEEE Signal Processing Letters 27, 2149-2153, 2020
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
Improving Transformer-Based Speech Recognition Systems with Compressed Structure and Speech Attributes Augmentation.
S Li, R Dabre, X Lu, P Shen, T Kawahara, H Kawai
Interspeech, 4400-4404, 2019
Maximum a posteriori Based Decoding for CTC Acoustic Models.
N Kanda, X Lu, H Kawai
Interspeech, 1868-1872, 2016
Speech enhancement using segmental nonnegative matrix factorization
HT Fan, J Hung, X Lu, SS Wang, Y Tsao
2014 IEEE international conference on acoustics, speech and signal …, 2014
Sparse representation based on a bag of spectral exemplars for acoustic event detection
X Lu, Y Tsao, S Matsuda, C Hori
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
A model-based investigation of activations of the tongue muscles in vowel production
Q Fang, S Fujita, X Lu, J Dang
Acoustical Science and Technology 30 (4), 277-287, 2009
Conditional Generative Adversarial Nets Classifier for Spoken Language Identification.
P Shen, X Lu, S Li, H Kawai
Interspeech, 2814-2818, 2017
Speech enhancement based on denoising autoencoder with multi-branched encoders
C Yu, RE Zezario, SS Wang, J Sherman, YY Hsieh, X Lu, HM Wang, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2756-2769, 2020
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