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Yong Xu | |
Pubulications: 2017: [2017-1] Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging [2017-2] A joint detection-classification model for audio tagging of weakly labelled data [2017-3] Fast Tagging of Natural Sounds Using Marginal Co-regularization 2016: [2016-1] SPEECH SEPARATION METHOD AND SYSTEM, DU Jun, XU Yong, TU Yanhui, Dai Li-rong, Wang Zhiguo, HU Yu, Liu Qingfeng, US patent, US 20160189730A1. [pdf] [2016-2] Fully Deep Neural Networks Incorporating Unsupervised Feature Learning for Audio Tagging, Yong Xu, Qiang Huang, Wenwu Wang, Peter Foster, Siddharth Sigtia, Philip J. B. Jackson, Mark D. Plumbley, arXiv:1607.03681, http://arxiv.org/pdf/1607.03681v1.pdf [2016-3] Fully DNN-based Multi-label regression for audio tagging, Yong Xu, Qiang Huang, Wenwu Wang, Philip J B Jackson, Mark D Plumbley, accepted by DCASE2016 workshop, https://arxiv.org/pdf/1606.07695v1.pdf [2016-4] Hierarchical learning for DNN-based acoustic scene classification, Yong Xu, Qiang Huang, Wenwu Wang, Mark D. Plumbley, accepted by DCASE2016 workshop, http://arxiv.org/pdf/1607.03682v1.pdf [2016-5]Joint training of DNNs by incorporating an explicit dereverberation structure for distant speech recognition [2016-6] Hierarchical deep neural network for multivariate regression 2015: [2015-1] A Regression Approach to Speech Enhancement Based on Deep Neural Networks[pdf]，Yong Xu, Jun Du, Li-Rong Dai and Chin-Hui Lee, to be appeared at IEEE/ACM Transaction on Speech and Audio Processing [2015-2] Multi-objective learning and Mask-based Post-processing for Deep Neural Network based Speech Enhancement, Yong Xu, Jun Du, Zhen Huang, Li-Rong Dai, Chin-Hui Lee, accepted, Interspeech2015, Dresden, Germany [ISCA grant awardee] [2015-3] DNN-Based Speech Bandwidth Expansion and Its Application to Adding High Frequency Missing Features for Automatic Speech Recognition of Narrowband Speech, 2014: [2014-1] Dynamic Noise Aware Training for Speech Enhancement Based on Deep Neural Networks[PDF], Yong Xu, Jun Du, Li-Rong Dai and Chin-Hui Lee, to be appeared at Interspeech2014 [2014-2] Robust Speech Recognition with Speech Enhanced Deep Neural Networks[PDF], Jun Du, Qing Wang, Tian Gao, Yong Xu, Li-Rong Dai and Chin-Hui Lee, to be appeared at Interspeech2014 [2014-3] Cross-language Transfer Learning for Deep Neural Network Based Speech Enhancement[PDF]，Yong Xu, Jun Du, Lirong Dai and Chin-Hui Lee，accepted by ISCSLP2014 [2014-4] Speech Separation Based on Improved Deep Neural Networks with Dual Outputs of Speech Features for Both Target and Interfering Speakers[PDF], Yanhui Tu, Jun Du, Yong Xu, Lirong Dai and Chin-Hui Lee，accepted by ISCSLP2014 [2014-5] Speech separation of a target speaker based on deep neural networks[PDF], Jun Du, Yanhui Tu, Yong Xu, Li-Rong Dai and Chin-Hui Lee, to be appeared at ICSP2014 [2014-6] Deep neural network based speech separation for robust speech recognition[PDF], Yanhui Tu, Jun Du, Yong Xu, Li-Rong Dai and Chin-Hui Lee, to be appeared at ICSP2014 2013: [2013-1] An Experimental Study on Speech Enhancement Based on Deep Neural Networks [SCI] [pdf] Yong Xu, Jun Du, Li-Rong Dai and Chin-Hui Lee [2013-2] Global Variance Equalization for Improving Deep Neural Network Based Speech Enhancement [PDF] Yong Xu, Jun Du, Li-Rong Dai and Chin-Hui Lee 2012 : [2012-1]Spoken Term Detection for OOV Terms Based on Phone Fragment. [EI] Yong Xu, Wu Guo, Shan Su and Lirong Dai [2012-2]Improved Spoken Term Detection by Template-based Confidence Measure. [EI] Shan Su, Wu Guo, Yong Xu and Lirong Dai [2012-3]A hybrid fragment / syllable-based system for improved OOV term detection. [EI] Yong Xu, Wu Guo and Lirong Dai [2012-4]Spoken term detection for OOV terms based on triphone confusion matrix. [EI] Yong Xu, Wu Guo, Shan Su and Lirong Dai
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