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Yong 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
— Harbin Institute of Technology, Shenzhen Graduate School, Bio-Computing Research Centre, China (and 1 more)
- Yong Xu 0002
- Yong Xu 0003
- Yong Xu 0005
- Yong Xu 0006 — University of Paris-Saclay, France
- Yong Xu 0007
- Yong Xu 0008
- Yong Xu 0009
- Yong Xu 0010
- Yong Xu 0011
- 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
- Yong Xu 0014
- Yong Xu 0015 — University of Cincinnati, Wireless and Mobile Networking Laboratory, OH, USA
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2020 – today
- 2024
- [j14]Yang Liu
Labelled Non-Zero Diffusion Particle Flow SMC-PHD Filtering for Multi-Speaker Tracking. IEEE Trans. Multim. 26: 2544-2559 (2024) - [c59]Jinzheng Zhao, Xinyuan Qian, Yong Xu, Haohe Liu, Yin Cao, Davide Berghi, Wenwu Wang:
Text-Queried Target Sound Event Localization. EUSIPCO 2024: 261-265 - [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 - [i49]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) - [i48]Zengrui Jin, Yifan Yang, Mohan Shi, Wei Kang, Xiaoyu Yang, Zengwei Yao, Fangjun Kuang, Liyong Guo, Lingwei Meng, Long Lin, Yong Xu, Shi-Xiong Zhang, Daniel Povey:
LibriheavyMix: A 20,000-Hour Dataset for Single-Channel Reverberant Multi-Talker Speech Separation, ASR and Speaker Diarization. CoRR abs/2409.00819 (2024) - [i47]Jiarui Hai, Yong Xu, Hao Zhang, Chenxing Li, Helin Wang, Mounya Elhilali, Dong Yu:
EzAudio: Enhancing Text-to-Audio Generation with Efficient Diffusion Transformer. CoRR abs/2409.10819 (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
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
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
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
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
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
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
Multi-Modal Multi-Channel Target Speech Separation. IEEE J. Sel. Top. Signal Process. 14(3): 530-541 (2020) - [j10]Ke Tan
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
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
Self-Supervised Learning for Audio-Visual Speaker Diarization. ICASSP 2020: 4367-4371 - [c39]Aswin Shanmugam Subramanian
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
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
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
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
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
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
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
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
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
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
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] [i49] [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]
[i49] [i48] [c56] [c55] [c54] [c51] [c49] [i42] [i41] [i39] [j13] [j12] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [i38] [i37] [i36] [i35] [i34] [j11] [j10] [c40] [c39] [c38] [c37] [c36] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [c35] [c30] [c29] [c28] [i22] [i21] [i20] [i19] [i17] [i15]
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last updated on 2024-11-20 21:58 CET by the dblp team
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