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ORCIDYong Xu 0004
Person information
- affiliation: Tencent America LLC, Seattle, USA
- affiliation (former): University of Surrey, Centre for Vision, Speech and Signal Processing, Guildford, UK
- affiliation (PhD 2015): University of Science and Technology of China, Hefei, China
Other persons with the same name
- Yong Xu — disambiguation page
- Yong Xu 0001
![[0000-0003-0530-2123]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-0530-2123")
— Harbin Institute of Technology, Shenzhen Graduate School, Bio-Computing Research Centre, China (and 1 more) - Yong Xu 0002 (aka: Eric Yong Xu) — The Chinese University of Hong Kong, Institute of Future Cities, Hong Kong
- Yong Xu 0003 — Guangdong University of Technology, School of Automation, Guangzhou, China (and 3 more)
- Yong Xu 0005 — Zhejiang University, Institute of Cyber-Systems and Control, National Laboratory of Industrial Control Technology, Yuquan Campus, Hangzhou, China
- Yong Xu 0006 — University of Paris-Saclay, France
- Yong Xu 0007 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (and 1 more)
- Yong Xu 0008 — Fudan University, Shanghai, China
- Yong Xu 0009 — Xiamen University, School of Film, Department of Digital Media, Xiamen, China (and 6 more)
- Yong Xu 0010 — Microsoft Research, Beijing, China
- Yong Xu 0011 — Northwestern Polytechnical University, Department of Mathematics and Statistics, Xi'an, China
- Yong Xu 0012 — Tokyo University of Agriculture and Technology, Division of Advanced Information Technology and Computer Science, Institute of Engineering, Japan (and 1 more)
- Yong Xu 0013 — Beihang University, Institute of Unmanned Systems, Key Laboratory of Advanced Technology of Intelligent Unmanned Flight Systems, School of Electronic and Information Engineering, Beijing, China
- Yong Xu 0014 — State Grid Hunan Integrated Energy Service Company Ltd., Technology Research and Development Center, Changsha, China (and 1 more)
- Yong Xu 0015 — University of Cincinnati, Wireless and Mobile Networking Laboratory, OH, USA
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2020 – today
- 2024
[j14]Yang Liu, Yong Xu, Peipei Wu, Wenwu Wang:
Labelled Non-Zero Diffusion Particle Flow SMC-PHD Filtering for Multi-Speaker Tracking. IEEE Trans. Multim. 26: 2544-2559 (2024)- [c58]Zhongweiyang Xu, Yong Xu, Vinay Kothapally, Heming Wang, Muqiao Yang, Dong Yu:
SPATIALCODEC: Neural Spatial Speech Coding. ICASSP 2024: 1131-1135 - [c57]Muqiao Yang, Chunlei Zhang, Yong Xu, Zhongweiyang Xu, Heming Wang, Bhiksha Raj, Dong Yu:
uSee: Unified Speech Enhancement And Editing with Conditional Diffusion Models. ICASSP 2024: 7125-7129 - [i47]Mohan Shi, Zengrui Jin, Yaoxun Xu, Yong Xu, Shi-Xiong Zhang, Kun Wei, Yiwen Shao, Chunlei Zhang, Dong Yu:
Advancing Multi-talker ASR Performance with Large Language Models. CoRR abs/2408.17431 (2024) - 2023
- [c56]Meng Yu, Yong Xu, Chunlei Zhang, Shi-Xiong Zhang, Dong Yu:
Neuralecho: Hybrid of Full-Band and Sub-Band Recurrent Neural Network For Acoustic Echo Cancellation and Speech Enhancement. ASRU 2023: 1-8 - [c55]Vinay Kothapally, Yong Xu, Meng Yu, Shi-Xiong Zhang, Dong Yu:
Deep Neural Mel-Subband Beamformer for in-Car Speech Separation. ICASSP 2023: 1-5 - [c54]Yong Xu, Vinay Kothapally, Meng Yu, Shixiong Zhang, Dong Yu:
Zoneformer: On-device Neural Beamformer For In-car Multi-zone Speech Separation, Enhancement and Echo Cancellation. INTERSPEECH 2023: 5117-5121 - [i46]Zhongweiyang Xu, Yong Xu, Vinay Kothapally, Heming Wang, Muqiao Yang, Dong Yu:
SpatialCodec: Neural Spatial Speech Coding. CoRR abs/2309.07432 (2023) - [i45]Jinzheng Zhao, Yong Xu, Xinyuan Qian, Wenwu Wang:
Audio Visual Speaker Localization from EgoCentric Views. CoRR abs/2309.16308 (2023) - [i44]Muqiao Yang, Chunlei Zhang, Yong Xu, Zhongweiyang Xu, Heming Wang, Bhiksha Raj, Dong Yu:
uSee: Unified Speech Enhancement and Editing with Conditional Diffusion Models. CoRR abs/2310.00900 (2023) - [i43]Jinzheng Zhao, Yong Xu, Xinyuan Qian, Davide Berghi, Peipei Wu, Meng Cui, Jianyuan Sun, Philip J. B. Jackson, Wenwu Wang:
Audio-Visual Speaker Tracking: Progress, Challenges, and Future Directions. CoRR abs/2310.14778 (2023) - 2022
- [c53]Jinzheng Zhao, Peipei Wu, Shidrokh Goudarzi, Xubo Liu, Jianyuan Sun, Yong Xu, Wenwu Wang:
Visually Assisted Self-supervised Audio Speaker Localization and Tracking. EUSIPCO 2022: 787-791 - [c52]Jinzheng Zhao, Peipei Wu, Xubo Liu, Yong Xu, Lyudmila Mihaylova, Simon J. Godsill, Wenwu Wang:
Audio-Visual Tracking of Multiple Speakers Via a PMBM Filter. ICASSP 2022: 5068-5072 - [c51]Vinay Kothapally, Yong Xu, Meng Yu, Shi-Xiong Zhang, Dong Yu:
Joint Neural AEC and Beamforming with Double-Talk Detection. INTERSPEECH 2022: 2528-2532 - [c50]Jinzheng Zhao, Peipei Wu, Xubo Liu, Shidrokh Goudarzi, Haohe Liu, Yong Xu, Wenwu Wang:
Audio Visual Multi-Speaker Tracking with Improved GCF and PMBM Filter. INTERSPEECH 2022: 3704-3708 - [c49]Soumi Maiti, Yushi Ueda, Shinji Watanabe, Chunlei Zhang, Meng Yu, Shi-Xiong Zhang, Yong Xu:
EEND-SS: Joint End-to-End Neural Speaker Diarization and Speech Separation for Flexible Number of Speakers. SLT 2022: 480-487 - [i42]Yushi Ueda, Soumi Maiti, Shinji Watanabe, Chunlei Zhang, Meng Yu, Shi-Xiong Zhang, Yong Xu:
EEND-SS: Joint End-to-End Neural Speaker Diarization and Speech Separation for Flexible Number of Speakers. CoRR abs/2203.17068 (2022) - [i41]Meng Yu, Yong Xu, Chunlei Zhang, Shi-Xiong Zhang, Dong Yu:
NeuralEcho: A Self-Attentive Recurrent Neural Network For Unified Acoustic Echo Suppression And Speech Enhancement. CoRR abs/2205.10401 (2022) - [i40]Qiuqiang Kong, Shilei Liu, Junjie Shi, Xuzhou Ye, Yin Cao, Qiaoxi Zhu, Yong Xu, Yuxuan Wang:
Neural Sound Field Decomposition with Super-resolution of Sound Direction. CoRR abs/2210.12345 (2022) - [i39]Vinay Kothapally, Yong Xu, Meng Yu, Shi-Xiong Zhang, Dong Yu:
Deep Neural Mel-Subband Beamformer for In-car Speech Separation. CoRR abs/2211.12590 (2022) - 2021
- [j13]Daniel Michelsanti, Zheng-Hua Tan, Shi-Xiong Zhang, Yong Xu, Meng Yu, Dong Yu, Jesper Jensen:
An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1368-1396 (2021) - [j12]Zhuohuang Zhang, Yong Xu, Meng Yu, Shi-Xiong Zhang, Lianwu Chen, Donald S. Williamson, Dong Yu:
Multi-Channel Multi-Frame ADL-MVDR for Target Speech Separation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3526-3540 (2021) - [c48]Zhuohuang Zhang, Yong Xu, Meng Yu, Shi-Xiong Zhang, Lianwu Chen, Dong Yu:
ADL-MVDR: All Deep Learning MVDR Beamformer for Target Speech Separation. ICASSP 2021: 6089-6093 - [c47]Aswin Shanmugam Subramanian, Chao Weng, Shinji Watanabe, Meng Yu, Yong Xu, Shi-Xiong Zhang, Dong Yu:
Directional ASR: A New Paradigm for E2E Multi-Speaker Speech Recognition with Source Localization. ICASSP 2021: 8433-8437 - [c46]Helin Wang, Bo Wu, Lianwu Chen, Meng Yu, Jianwei Yu, Yong Xu, Shi-Xiong Zhang, Chao Weng, Dan Su, Dong Yu:
TeCANet: Temporal-Contextual Attention Network for Environment-Aware Speech Dereverberation. Interspeech 2021: 1109-1113 - [c45]Xiyun Li, Yong Xu, Meng Yu, Shi-Xiong Zhang, Jiaming Xu, Bo Xu, Dong Yu:
MIMO Self-Attentive RNN Beamformer for Multi-Speaker Speech Separation. Interspeech 2021: 1119-1123 - [c44]Meng Yu, Chunlei Zhang, Yong Xu, Shi-Xiong Zhang, Dong Yu:
MetricNet: Towards Improved Modeling For Non-Intrusive Speech Quality Assessment. Interspeech 2021: 2142-2146 - [c43]Yong Xu, Zhuohuang Zhang, Meng Yu, Shi-Xiong Zhang, Dong Yu:
Generalized Spatio-Temporal RNN Beamformer for Target Speech Separation. Interspeech 2021: 3076-3080 - [c42]Jianming Liu, Meng Yu, Yong Xu, Chao Weng, Shi-Xiong Zhang, Lianwu Chen, Dong Yu:
Neural Mask based Multi-channel Convolutional Beamforming for Joint Dereverberation, Echo Cancellation and Denoising. SLT 2021: 766-770 - [c41]Zhaoheng Ni, Yong Xu, Meng Yu, Bo Wu, Shi-Xiong Zhang, Dong Yu, Michael I. Mandel:
WPD++: An Improved Neural Beamformer for Simultaneous Speech Separation and Dereverberation. SLT 2021: 817-824 - [i38]Yong Xu, Zhuohuang Zhang, Meng Yu, Shi-Xiong Zhang, Lianwu Chen, Dong Yu:
Generalized RNN beamformer for target speech separation. CoRR abs/2101.01280 (2021) - [i37]Helin Wang, Bo Wu, Lianwu Chen, Meng Yu, Jianwei Yu, Yong Xu, Shi-Xiong Zhang, Chao Weng, Dan Su, Dong Yu:
TeCANet: Temporal-Contextual Attention Network for Environment-Aware Speech Dereverberation. CoRR abs/2103.16849 (2021) - [i36]Meng Yu, Chunlei Zhang, Yong Xu, Shi-Xiong Zhang, Dong Yu:
MetricNet: Towards Improved Modeling For Non-Intrusive Speech Quality Assessment. CoRR abs/2104.01227 (2021) - [i35]Xiyun Li, Yong Xu, Meng Yu, Shi-Xiong Zhang, Jiaming Xu, Bo Xu, Dong Yu:
MIMO Self-attentive RNN Beamformer for Multi-speaker Speech Separation. CoRR abs/2104.08450 (2021) - [i34]Vinay Kothapally, Yong Xu, Meng Yu, Shi-Xiong Zhang, Dong Yu:
Joint AEC AND Beamforming with Double-Talk Detection using RNN-Transformer. CoRR abs/2111.04904 (2021) - 2020
- [j11]Rongzhi Gu, Shi-Xiong Zhang, Yong Xu, Lianwu Chen, Yuexian Zou, Dong Yu:
Multi-Modal Multi-Channel Target Speech Separation. IEEE J. Sel. Top. Signal Process. 14(3): 530-541 (2020) - [j10]Ke Tan, Yong Xu, Shi-Xiong Zhang, Meng Yu, Dong Yu:
Audio-Visual Speech Separation and Dereverberation With a Two-Stage Multimodal Network. IEEE J. Sel. Top. Signal Process. 14(3): 542-553 (2020) - [j9]Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley:
Sound Event Detection of Weakly Labelled Data With CNN-Transformer and Automatic Threshold Optimization. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2450-2460 (2020) - [c40]Yifan Ding, Yong Xu, Shi-Xiong Zhang, Yahuan Cong, Liqiang Wang:
Self-Supervised Learning for Audio-Visual Speaker Diarization. ICASSP 2020: 4367-4371 - [c39]Aswin Shanmugam Subramanian, Chao Weng, Meng Yu, Shi-Xiong Zhang, Yong Xu, Shinji Watanabe, Dong Yu:
Far-Field Location Guided Target Speech Extraction Using End-to-End Speech Recognition Objectives. ICASSP 2020: 7299-7303 - [c38]Rongzhi Gu, Shi-Xiong Zhang, Lianwu Chen, Yong Xu, Meng Yu, Dan Su, Yuexian Zou, Dong Yu:
Enhancing End-to-End Multi-Channel Speech Separation Via Spatial Feature Learning. ICASSP 2020: 7319-7323 - [c37]Yong Xu, Meng Yu, Shi-Xiong Zhang, Lianwu Chen, Chao Weng, Jianming Liu, Dong Yu:
Neural Spatio-Temporal Beamformer for Target Speech Separation. INTERSPEECH 2020: 56-60 - [c36]Jianwei Yu, Bo Wu, Rongzhi Gu, Shi-Xiong Zhang, Lianwu Chen, Yong Xu, Meng Yu, Dan Su, Dong Yu, Xunying Liu, Helen Meng:
Audio-Visual Multi-Channel Recognition of Overlapped Speech. INTERSPEECH 2020: 3496-3500 - [i33]Yifan Ding, Yong Xu, Shi-Xiong Zhang, Yahuan Cong, Liqiang Wang:
Self-supervised learning for audio-visual speaker diarization. CoRR abs/2002.05314 (2020) - [i32]Rongzhi Gu, Shi-Xiong Zhang, Lianwu Chen, Yong Xu, Meng Yu, Dan Su, Yuexian Zou, Dong Yu:
Enhancing End-to-End Multi-channel Speech Separation via Spatial Feature Learning. CoRR abs/2003.03927 (2020) - [i31]Rongzhi Gu, Shi-Xiong Zhang, Yong Xu, Lianwu Chen, Yuexian Zou, Dong Yu:
Multi-modal Multi-channel Target Speech Separation. CoRR abs/2003.07032 (2020) - [i30]Yong Xu, Meng Yu, Shi-Xiong Zhang, Lianwu Chen, Chao Weng, Jianming Liu, Dong Yu:
Neural Spatio-Temporal Beamformer for Target Speech Separation. CoRR abs/2005.03889 (2020) - [i29]Jianwei Yu, Bo Wu, Rongzhi Gu, Shi-Xiong Zhang, Lianwu Chen, Yong Xu, Meng Yu, Dan Su, Dong Yu, Xunying Liu, Helen Meng:
Audio-visual Multi-channel Recognition of Overlapped Speech. CoRR abs/2005.08571 (2020) - [i28]Daniel Michelsanti, Zheng-Hua Tan, Shi-Xiong Zhang, Yong Xu, Meng Yu, Dong Yu, Jesper Jensen:
An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation. CoRR abs/2008.09586 (2020) - [i27]Aswin Shanmugam Subramanian, Chao Weng, Shinji Watanabe, Meng Yu, Yong Xu, Shi-Xiong Zhang, Dong Yu:
Directional ASR: A New Paradigm for E2E Multi-Speaker Speech Recognition with Source Localization. CoRR abs/2011.00091 (2020) - [i26]Zhaoheng Ni, Yong Xu, Meng Yu, Bo Wu, Shi-Xiong Zhang, Dong Yu, Michael I. Mandel:
WPD++: An Improved Neural Beamformer for Simultaneous Speech Separation and Dereverberation. CoRR abs/2011.09162 (2020) - [i25]Zhuohuang Zhang, Yong Xu, Meng Yu, Shi-Xiong Zhang, Lianwu Chen, Donald S. Williamson, Dong Yu:
Multi-channel Multi-frame ADL-MVDR for Target Speech Separation. CoRR abs/2012.13442 (2020)
2010 – 2019
- 2019
- [j8]Qiuqiang Kong, Yong Xu, Iwona Sobieraj, Wenwu Wang, Mark D. Plumbley:
Sound Event Detection and Time-Frequency Segmentation from Weakly Labelled Data. IEEE ACM Trans. Audio Speech Lang. Process. 27(4): 777-787 (2019) - [j7]Qiuqiang Kong, Changsong Yu, Yong Xu, Turab Iqbal, Wenwu Wang, Mark D. Plumbley:
Weakly Labelled AudioSet Tagging With Attention Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 27(11): 1791-1802 (2019) - [c35]Jian Wu, Yong Xu, Shi-Xiong Zhang, Lianwu Chen, Meng Yu, Lei Xie, Dong Yu:
Time Domain Audio Visual Speech Separation. ASRU 2019: 667-673 - [c34]Qiuqiang Kong, Yong Xu, Turab Iqbal, Yin Cao, Wenwu Wang, Mark D. Plumbley:
Acoustic Scene Generation with Conditional Samplernn. ICASSP 2019: 925-929 - [c33]Yong Xu, Chao Weng, Like Hui, Jianming Liu, Meng Yu, Dan Su, Dong Yu:
Joint Training of Complex Ratio Mask Based Beamformer and Acoustic Model for Noise Robust Asr. ICASSP 2019: 6745-6749 - [c32]Xiang Hao, Changhao Shan, Yong Xu, Sining Sun, Lei Xie:
An Attention-based Neural Network Approach for Single Channel Speech Enhancement. ICASSP 2019: 6895-6899 - [c31]Qiuqiang Kong, Yong Xu, Philip J. B. Jackson, Wenwu Wang, Mark D. Plumbley:
Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks. IJCAI 2019: 2747-2753 - [c30]Jian Wu, Yong Xu, Shi-Xiong Zhang, Lianwu Chen, Meng Yu, Lei Xie, Dong Yu:
Improved Speaker-Dependent Separation for CHiME-5 Challenge. INTERSPEECH 2019: 466-470 - [c29]Rongzhi Gu, Lianwu Chen, Shi-Xiong Zhang, Jimeng Zheng, Yong Xu, Meng Yu, Dan Su, Yuexian Zou, Dong Yu:
Neural Spatial Filter: Target Speaker Speech Separation Assisted with Directional Information. INTERSPEECH 2019: 4290-4294 - [c28]Fahimeh Bahmaninezhad, Jian Wu, Rongzhi Gu, Shi-Xiong Zhang, Yong Xu, Meng Yu, Dong Yu:
A Comprehensive Study of Speech Separation: Spectrogram vs Waveform Separation. INTERSPEECH 2019: 4574-4578 - [i24]Qiuqiang Kong, Changsong Yu, Turab Iqbal, Yong Xu, Wenwu Wang, Mark D. Plumbley:
Weakly labelled AudioSet Classification with Attention Neural Networks. CoRR abs/1903.00765 (2019) - [i23]Qiuqiang Kong, Yin Cao, Turab Iqbal, Yong Xu, Wenwu Wang, Mark D. Plumbley:
Cross-task learning for audio tagging, sound event detection and spatial localization: DCASE 2019 baseline systems. CoRR abs/1904.03476 (2019) - [i22]Jian Wu, Yong Xu, Shi-Xiong Zhang, Lianwu Chen, Meng Yu, Lei Xie, Dong Yu:
Time Domain Audio Visual Speech Separation. CoRR abs/1904.03760 (2019) - [i21]Jian Wu, Yong Xu, Shi-Xiong Zhang, Lianwu Chen, Meng Yu, Lei Xie, Dong Yu:
Improved Speaker-Dependent Separation for CHiME-5 Challenge. CoRR abs/1904.03792 (2019) - [i20]Rongzhi Gu, Jian Wu, Shi-Xiong Zhang, Lianwu Chen, Yong Xu, Meng Yu, Dan Su, Yuexian Zou, Dong Yu:
End-to-End Multi-Channel Speech Separation. CoRR abs/1905.06286 (2019) - [i19]Fahimeh Bahmaninezhad, Jian Wu, Rongzhi Gu, Shi-Xiong Zhang, Yong Xu, Meng Yu, Dong Yu:
A comprehensive study of speech separation: spectrogram vs waveform separation. CoRR abs/1905.07497 (2019) - [i18]Qiuqiang Kong, Yong Xu, Wenwu Wang, Philip J. B. Jackson, Mark D. Plumbley:
Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks. CoRR abs/1906.07552 (2019) - [i17]Ke Tan, Yong Xu, Shi-Xiong Zhang, Meng Yu, Dong Yu:
Audio-Visual Speech Separation and Dereverberation with a Two-Stage Multimodal Network. CoRR abs/1909.07352 (2019) - [i16]Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley:
Sound Event Detection of Weakly Labelled Data with CNN-Transformer and Automatic Threshold Optimization. CoRR abs/1912.04761 (2019) - [i15]Fahimeh Bahmaninezhad, Shi-Xiong Zhang, Yong Xu, Meng Yu, John H. L. Hansen, Dong Yu:
A Unified Framework for Speech Separation. CoRR abs/1912.07814 (2019) - 2018
- [j6]Lei Sun, Jun Du, Zhipeng Xie, Yong Xu:
Auxiliary Features from Laser-Doppler Vibrometer Sensor for Deep Neural Network Based Robust Speech Recognition. J. Signal Process. Syst. 90(7): 975-983 (2018) - [c27]Qiuqiang Kong, Turab Iqbal, Yong Xu, Wenwu Wang, Mark D. Plumbley:
DCASE 2018 Challenge Surrey cross-task convolutional neural network baseline. DCASE 2018: 217-221 - [c26]Turab Iqbal, Yong Xu, Qiuqiang Kong, Wenwu Wang:
Capsule Routing for Sound Event Detection. EUSIPCO 2018: 2255-2259 - [c25]Tijs Duel, David M. Frohlich, Christian Kroos, Yong Xu, Philip J. B. Jackson, Mark D. Plumbley:
Supporting Audiography: Design of a System for Sentimental Sound Recording, Classification and Playback. HCI (28) 2018: 24-31 - [c24]Alfredo Zermini, Qiuqiang Kong, Yong Xu, Mark D. Plumbley, Wenwu Wang:
Improving Reverberant Speech Separation with Binaural Cues Using Temporal Context and Convolutional Neural Networks. LVA/ICA 2018: 361-371 - [c23]Yong Xu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley:
Large-Scale Weakly Supervised Audio Classification Using Gated Convolutional Neural Network. ICASSP 2018: 121-125 - [c22]Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley:
Audio Set Classification with Attention Model: A Probabilistic Perspective. ICASSP 2018: 316-320 - [c21]Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley:
A Joint Separation-Classification Model for Sound Event Detection of Weakly Labelled Data. ICASSP 2018: 321-325 - [c20]Qingju Liu, Yong Xu, Philip J. B. Jackson, Wenwu Wang, Philip Coleman:
Iterative Deep Neural Networks for Speaker-Independent Binaural Blind Speech Separation. ICASSP 2018: 541-545 - [i14]Qiuqiang Kong, Yong Xu, Iwona Sobieraj, Wenwu Wang, Mark D. Plumbley:
Sound Event Detection and Time-Frequency Segmentation from Weakly Labelled Data. CoRR abs/1804.04715 (2018) - [i13]Turab Iqbal, Yong Xu, Qiuqiang Kong, Wenwu Wang:
Capsule Routing for Sound Event Detection. CoRR abs/1806.04699 (2018) - [i12]Qiuqiang Kong, Turab Iqbal, Yong Xu, Wenwu Wang, Mark D. Plumbley:
DCASE 2018 Challenge baseline with convolutional neural networks. CoRR abs/1808.00773 (2018) - 2017
- [j5]Jun Du, Yong Xu:
Hierarchical deep neural network for multivariate regression. Pattern Recognit. 63: 149-157 (2017) - [j4]Yong Xu, Qiang Huang, Wenwu Wang, Peter Foster, Siddharth Sigtia, Philip J. B. Jackson, Mark D. Plumbley:
Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1230-1241 (2017) - [c19]Qiuqiang Kong, Yong Xu, Mark D. Plumbley:
Joint detection and classification convolutional neural network on weakly labelled bird audio detection. EUSIPCO 2017: 1749-1753 - [c18]Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley:
A joint detection-classification model for audio tagging of weakly labelled data. ICASSP 2017: 641-645 - [c17]Qiang Huang, Yong Xu, Philip J. B. Jackson, Wenwu Wang, Mark D. Plumbley:
Fast tagging of natural sounds using marginal co-regularization. ICASSP 2017: 2991-2995 - [c16]Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley:
Convolutional gated recurrent neural network incorporating spatial features for audio tagging. IJCNN 2017: 3461-3466 - [c15]Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley:
Attention and Localization Based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging. INTERSPEECH 2017: 3083-3087 - [c14]Alfredo Zermini, Qingju Liu, Yong Xu, Mark D. Plumbley, Dave Betts, Wenwu Wang:
Binaural and log-power spectra features with deep neural networks for speech-noise separation. MMSP 2017: 1-6 - [i11]Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley:
Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging. CoRR abs/1702.07787 (2017) - [i10]Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley:
Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging. CoRR abs/1703.06052 (2017) - [i9]Yong Xu, Jun Du, Zhen Huang, Li-Rong Dai, Chin-Hui Lee:
Multi-Objective Learning and Mask-Based Post-Processing for Deep Neural Network Based Speech Enhancement. CoRR abs/1703.07172 (2017) - [i8]Yong Xu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley:
Surrey-cvssp system for DCASE2017 challenge task4. CoRR abs/1709.00551 (2017) - [i7]Yong Xu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley:
Large-scale weakly supervised audio classification using gated convolutional neural network. CoRR abs/1710.00343 (2017) - [i6]Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley:
Audio Set classification with attention model: A probabilistic perspective. CoRR abs/1711.00927 (2017) - [i5]Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley:
A joint separation-classification model for sound event detection of weakly labelled data. CoRR abs/1711.03037 (2017) - 2016
- [j3]Tian Gao, Jun Du, Yong Xu, Cong Liu, Li-Rong Dai, Chin-Hui Lee:
Joint training of DNNs by incorporating an explicit dereverberation structure for distant speech recognition. EURASIP J. Adv. Signal Process. 2016: 86 (2016) - [c13]Yong Xu, Qiang Huang, Wenwu Wang, Philip J. B. Jackson, Mark D. Plumbley:
Fully DNN-Based Multi-Label Regression for Audio Tagging. DCASE 2016: 105-109 - [c12]Yong Xu, Qiang Huang, Wenwu Wang, Mark D. Plumbley:
Hierarchical Learning for DNN-Based Acoustic Scene Classification. DCASE 2016: 110-114 - [c11]Zhipeng Xie, Jun Du, Ian McLoughlin, Yong Xu, Feng Ma, Haikun Wang:
Deep neural network for robust speech recognition with auxiliary features from laser-Doppler vibrometer sensor. ISCSLP 2016: 1-5 - [i4]Yong Xu, Qiang Huang, Wenwu Wang, Philip J. B. Jackson, Mark D. Plumbley:
Fully DNN-based Multi-label regression for audio tagging. CoRR abs/1606.07695 (2016) - [i3]Yong Xu, Qiang Huang, Wenwu Wang, Peter Foster, Siddharth Sigtia, Philip J. B. Jackson, Mark D. Plumbley:
Fully Deep Neural Networks Incorporating Unsupervised Feature Learning for Audio Tagging. CoRR abs/1607.03681 (2016) - [i2]Yong Xu, Qiang Huang, Wenwu Wang, Mark D. Plumbley:
Hierachical learning for DNN-based acoustic scene classification. CoRR abs/1607.03682 (2016) - [i1]Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley:
A Joint Detection-Classification Model for Audio Tagging of Weakly Labelled Data. CoRR abs/1610.01797 (2016) - 2015
- [j2]Yong Xu, Jun Du, Li-Rong Dai, Chin-Hui Lee:
A Regression Approach to Speech Enhancement Based on Deep Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 23(1): 7-19 (2015) - [c10]Tian Gao, Jun Du, Yong Xu, Cong Liu, Li-Rong Dai, Chin-Hui Lee:
Improving Deep Neural Network Based Speech Enhancement in Low SNR Environments. LVA/ICA 2015: 75-82 - [c9]Yong Xu, Jun Du, Zhen Huang, Li-Rong Dai, Chin-Hui Lee:
Multi-objective learning and mask-based post-processing for deep neural network based speech enhancement. INTERSPEECH 2015: 1508-1512 - [c8]Kehuang Li, Zhen Huang, Yong Xu, Chin-Hui Lee:
DNN-based speech bandwidth expansion and its application to adding high-frequency missing features for automatic speech recognition of narrowband speech. INTERSPEECH 2015: 2578-2582 - 2014
- [j1]Yong Xu, Jun Du, Li-Rong Dai, Chin-Hui Lee:
An Experimental Study on Speech Enhancement Based on Deep Neural Networks. IEEE Signal Process. Lett. 21(1): 65-68 (2014) - [c7]Yong Xu, Jun Du, Li-Rong Dai, Chin-Hui Lee:
Global variance equalization for improving deep neural network based speech enhancement. ChinaSIP 2014: 71-75 - [c6]Jun Du, Qing Wang, Tian Gao, Yong Xu, Li-Rong Dai, Chin-Hui Lee:
Robust speech recognition with speech enhanced deep neural networks. INTERSPEECH 2014: 616-620 - [c5]Yong Xu, Jun Du, Li-Rong Dai, Chin-Hui Lee:
Dynamic noise aware training for speech enhancement based on deep neural networks. INTERSPEECH 2014: 2670-2674 - [c4]Yanhui Tu, Jun Du, Yong Xu, Li-Rong Dai, Chin-Hui Lee:
Speech separation based on improved deep neural networks with dual outputs of speech features for both target and interfering speakers. ISCSLP 2014: 250-254 - [c3]Yong Xu, Jun Du, Li-Rong Dai, Chin-Hui Lee:
Cross-language transfer learning for deep neural network based speech enhancement. ISCSLP 2014: 336-340 - 2012
- [c2]Yong Xu, Wu Guo, Shan Su, Li-Rong Dai:
Spoken term detection for OOV terms based on triphone confusion matrix. ISCSLP 2012: 98-102 - [c1]Yong Xu, Wu Guo, Li-Rong Dai:
A hybrid fragment / syllable-based system for improved OOV term detection. ISCSLP 2012: 378-382
Coauthor Index
[c58] [c57] [i47] [c56] [c55] [c54] [i46] [i44] [c51] [i41] [i39] [j13] [j12] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [i38] [i37] [i36] [i35] [i34] [j11] [j10] [c39] [c38] [c37] [c36] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [c35] [c33] [c30] [c29] [c28] [i22] [i21] [i20] [i19] [i17] [i15]
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