| Speech enhancement based on deep denoising autoencoder. X Lu, Y Tsao, S Matsuda, C Hori Interspeech 2013, 436-440, 2013 | 608 | 2013 |
| 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 | 141 | 2008 |
| 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 | 128 | 2018 |
| SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement. SW Fu, Y Tsao, X Lu Interspeech, 3768-3772, 2016 | 124 | 2016 |
| 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 | 118 | 2017 |
| 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 | 79 | 2017 |
| 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 | 72 | 2014 |
| 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 | 67 | 2016 |
| Ensemble modeling of denoising autoencoder for speech spectrum restoration X Lu, Y Tsao, S Matsuda, C Hori Fifteenth Annual Conference of the International Speech Communication …, 2014 | 61 | 2014 |
| 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 | 41 | 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 | 41 | 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 | 41 | 2009 |
| Maximum a posteriori Based Decoding for CTC Acoustic Models. N Kanda, X Lu, H Kawai Interspeech, 1868-1872, 2016 | 37 | 2016 |
| Physiological feature extraction for text independent speaker identification using non-uniform subband processing X Lu, J Dang 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 33 | 2007 |
| 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 | 32 | 2018 |
| Factored language model based on recurrent neural network Y Wu, X Lu, H Yamamoto, S Matsuda, C Hori, H Kashioka Proceedings of COLING 2012, 2835-2850, 2012 | 31 | 2012 |
| Speech restoration based on deep learning autoencoder with layer-wised pretraining X Lu, S Matsuda, C Hori, H Kashioka Thirteenth Annual Conference of the International Speech Communication …, 2012 | 23 | 2012 |
| Wavelet speech enhancement based on nonnegative matrix factorization SS Wang, A Chern, Y Tsao, J Hung, X Lu, YH Lai, B Su IEEE Signal Processing Letters 23 (8), 1101-1105, 2016 | 21 | 2016 |
| Conditional Generative Adversarial Nets Classifier for Spoken Language Identification. P Shen, X Lu, S Li, H Kawai INTERSPEECH, 2814-2818, 2017 | 19 | 2017 |
| The NICT ASR System for IWSLT2012 H Yamamoto, Y Wu, CL Huang, X Lu, PR Dixon, S Matsuda, C Hori, ... International Workshop on Spoken Language Translation (IWSLT) 2012, 2012 | 19 | 2012 |
