A hybrid fragment / syllable-based system for improved OOV term detection. - Yong Xu 004; Wu Guo; Li-Rong Dai 001 (ISCSLP, 2012)

Spoken term detection for OOV terms based on triphone confusion matrix. - Yong Xu 004; Wu Guo; Shan Su; Li-Rong Dai 001 (ISCSLP, 2012)

Global variance equalization for improving deep neural network based speech enhancement. - Yong Xu 004; Jun Du 002; Li-Rong Dai 001; Chin-Hui Lee 001 (ChinaSIP, 2014)

Robust speech recognition with speech enhanced deep neural networks. - Jun Du 002; Qing Wang 008; Tian Gao 005; Yong Xu 004; Li-Rong Dai 001; Chin-Hui Lee 001 (INTERSPEECH, 2014)

Dynamic noise aware training for speech enhancement based on deep neural networks. - Yong Xu 004; Jun Du 002; Li-Rong Dai 001; Chin-Hui Lee 001 (INTERSPEECH, 2014)

Speech separation based on improved deep neural networks with dual outputs of speech features for both target and interfering speakers. - Yanhui Tu; Jun Du 002; Yong Xu 004; Li-Rong Dai 001; Chin-Hui Lee 001 (ISCSLP, 2014)

Cross-language transfer learning for deep neural network based speech enhancement. - Yong Xu 004; Jun Du 002; Li-Rong Dai 001; Chin-Hui Lee 001 (ISCSLP, 2014)

An Experimental Study on Speech Enhancement Based on Deep Neural Networks. - Yong Xu 004; Jun Du 002; Li-Rong Dai 001; Chin-Hui Lee 001 (IEEE Signal Process. Lett., 2014)

Improving Deep Neural Network Based Speech Enhancement in Low SNR Environments. - Tian Gao 005; Jun Du 002; Yong Xu 004; Cong Liu 006; Li-Rong Dai 001; Chin-Hui Lee 001 (LVA/ICA, 2015)

DNN-based speech bandwidth expansion and its application to adding high-frequency missing features for automatic speech recognition of narrowband speech. - Kehuang Li; Zhen Huang 001; Yong Xu 004; Chin-Hui Lee 001 (INTERSPEECH, 2015)

Multi-objective learning and mask-based post-processing for deep neural network based speech enhancement. - Yong Xu 004; Jun Du 002; Zhen Huang 001; Li-Rong Dai 001; Chin-Hui Lee 001 (INTERSPEECH, 2015)

A Regression Approach to Speech Enhancement Based on Deep Neural Networks. - Yong Xu 004; Jun Du 002; Li-Rong Dai 001; Chin-Hui Lee 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Fully DNN-Based Multi-Label Regression for Audio Tagging. - Yong Xu 004; Qiang Huang 007; Wenwu Wang 001; Philip J. B. Jackson; Mark D. Plumbley (DCASE, 2016)

Hierarchical Learning for DNN-Based Acoustic Scene Classification. - Yong Xu 004; Qiang Huang 007; Wenwu Wang 001; Mark D. Plumbley (DCASE, 2016)

Deep neural network for robust speech recognition with auxiliary features from laser-Doppler vibrometer sensor. - Zhipeng Xie; Jun Du 002; Ian McLoughlin 001; Yong Xu 004; Feng Ma; Haikun Wang (ISCSLP, 2016)

Fully Deep Neural Networks Incorporating Unsupervised Feature Learning for Audio Tagging. - Yong Xu 004; Qiang Huang 007; Wenwu Wang 001; Peter Foster; Siddharth Sigtia; Philip J. B. Jackson; Mark D. Plumbley (CoRR, 2016)

Hierachical learning for DNN-based acoustic scene classification. - Yong Xu 004; Qiang Huang 007; Wenwu Wang 001; Mark D. Plumbley (CoRR, 2016)

Joint training of DNNs by incorporating an explicit dereverberation structure for distant speech recognition. - Tian Gao 005; Jun Du 002; Yong Xu 004; Cong Liu 006; Li-Rong Dai 001; Chin-Hui Lee 001 (EURASIP J. Adv. Signal Process., 2016)

Joint detection and classification convolutional neural network on weakly labelled bird audio detection. - Qiuqiang Kong; Yong Xu 004; Mark D. Plumbley (EUSIPCO, 2017)

Fast tagging of natural sounds using marginal co-regularization. - Qiang Huang 007; Yong Xu 004; Philip J. B. Jackson; Wenwu Wang 001; Mark D. Plumbley (ICASSP, 2017)

A joint detection-classification model for audio tagging of weakly labelled data. - Qiuqiang Kong; Yong Xu 004; Wenwu Wang 001; Mark D. Plumbley (ICASSP, 2017)

Convolutional gated recurrent neural network incorporating spatial features for audio tagging. - Yong Xu 004; Qiuqiang Kong; Qiang Huang 007; Wenwu Wang 001; Mark D. Plumbley (IJCNN, 2017)

Attention and Localization Based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging. - Yong Xu 004; Qiuqiang Kong; Qiang Huang 007; Wenwu Wang 001; Mark D. Plumbley (INTERSPEECH, 2017)

Binaural and log-power spectra features with deep neural networks for speech-noise separation. - Alfredo Zermini; Qingju Liu; Yong Xu 004; Mark D. Plumbley; Dave Betts; Wenwu Wang 001 (MMSP, 2017)

Surrey-cvssp system for DCASE2017 challenge task4. - Yong Xu 004; Qiuqiang Kong; Wenwu Wang 001; Mark D. Plumbley (CoRR, 2017)

Hierarchical deep neural network for multivariate regression. - Jun Du 002; Yong Xu 004 (Pattern Recognit., 2017)

Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging. - Yong Xu 004; Qiang Huang 007; Wenwu Wang 001; Peter Foster; Siddharth Sigtia; Philip J. B. Jackson; Mark D. Plumbley (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

DCASE 2018 Challenge Surrey cross-task convolutional neural network baseline. - Qiuqiang Kong; Turab Iqbal; Yong Xu 004; Wenwu Wang 001; Mark D. Plumbley (DCASE, 2018)

Capsule Routing for Sound Event Detection. - Turab Iqbal; Yong Xu 004; Qiuqiang Kong; Wenwu Wang 001 (EUSIPCO, 2018)

Supporting Audiography: Design of a System for Sentimental Sound Recording, Classification and Playback. - Tijs Duel; David M. Frohlich; Christian Kroos; Yong Xu 004; Philip J. B. Jackson; Mark D. Plumbley (HCI (28), 2018)

Improving Reverberant Speech Separation with Binaural Cues Using Temporal Context and Convolutional Neural Networks. - Alfredo Zermini; Qiuqiang Kong; Yong Xu 004; Mark D. Plumbley; Wenwu Wang 001 (LVA/ICA, 2018)

Large-Scale Weakly Supervised Audio Classification Using Gated Convolutional Neural Network. - Yong Xu 004; Qiuqiang Kong; Wenwu Wang 001; Mark D. Plumbley (ICASSP, 2018)

Audio Set Classification with Attention Model: A Probabilistic Perspective. - Qiuqiang Kong; Yong Xu 004; Wenwu Wang 001; Mark D. Plumbley (ICASSP, 2018)

A Joint Separation-Classification Model for Sound Event Detection of Weakly Labelled Data. - Qiuqiang Kong; Yong Xu 004; Wenwu Wang 001; Mark D. Plumbley (ICASSP, 2018)

Iterative Deep Neural Networks for Speaker-Independent Binaural Blind Speech Separation. - Qingju Liu; Yong Xu 004; Philip J. B. Jackson; Wenwu Wang 001; Philip Coleman (ICASSP, 2018)

DCASE 2018 Challenge baseline with convolutional neural networks. - Qiuqiang Kong; Turab Iqbal; Yong Xu 004; Wenwu Wang 001; Mark D. Plumbley (CoRR, 2018)

Auxiliary Features from Laser-Doppler Vibrometer Sensor for Deep Neural Network Based Robust Speech Recognition. - Lei Sun 010; Jun Du 002; Zhipeng Xie; Yong Xu 004 (J. Signal Process. Syst., 2018)

Time Domain Audio Visual Speech Separation. - Jian Wu 027; Yong Xu 004; Shi-Xiong Zhang 001; Lianwu Chen; Meng Yu 003; Lei Xie 001; Dong Yu 001 (ASRU, 2019)

An Attention-based Neural Network Approach for Single Channel Speech Enhancement. - Xiang Hao; Changhao Shan; Yong Xu 004; Sining Sun; Lei Xie 001 (ICASSP, 2019)

Acoustic Scene Generation with Conditional Samplernn. - Qiuqiang Kong; Yong Xu 004; Turab Iqbal; Yin Cao; Wenwu Wang 001; Mark D. Plumbley (ICASSP, 2019)

Joint Training of Complex Ratio Mask Based Beamformer and Acoustic Model for Noise Robust Asr. - Yong Xu 004; Chao Weng; Like Hui; Jianming Liu; Meng Yu 003; Dan Su 002; Dong Yu 001 (ICASSP, 2019)

Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks. - Qiuqiang Kong; Yong Xu 004; Philip J. B. Jackson; Wenwu Wang 001; Mark D. Plumbley (IJCAI, 2019)

A Comprehensive Study of Speech Separation: Spectrogram vs Waveform Separation. - Fahimeh Bahmaninezhad; Jian Wu 027; Rongzhi Gu; Shi-Xiong Zhang 001; Yong Xu 004; Meng Yu 003; Dong Yu 001 (INTERSPEECH, 2019)

Neural Spatial Filter: Target Speaker Speech Separation Assisted with Directional Information. - Rongzhi Gu; Lianwu Chen; Shi-Xiong Zhang 001; Jimeng Zheng; Yong Xu 004; Meng Yu 003; Dan Su 002; Yuexian Zou; Dong Yu 001 (INTERSPEECH, 2019)

Improved Speaker-Dependent Separation for CHiME-5 Challenge. - Jian Wu 027; Yong Xu 004; Shi-Xiong Zhang 001; Lianwu Chen; Meng Yu 003; Lei Xie 001; Dong Yu 001 (INTERSPEECH, 2019)

Weakly labelled AudioSet Classification with Attention Neural Networks. - Qiuqiang Kong; Changsong Yu; Turab Iqbal; Yong Xu 004; Wenwu Wang 001; Mark D. Plumbley (CoRR, 2019)

Cross-task learning for audio tagging, sound event detection and spatial localization: DCASE 2019 baseline systems. - Qiuqiang Kong; Yin Cao; Turab Iqbal; Yong Xu 004; Wenwu Wang 001; Mark D. Plumbley (CoRR, 2019)

End-to-End Multi-Channel Speech Separation. - Rongzhi Gu; Jian Wu 027; Shi-Xiong Zhang 001; Lianwu Chen; Yong Xu 004; Meng Yu 003; Dan Su 002; Yuexian Zou; Dong Yu 001 (CoRR, 2019)

A Unified Framework for Speech Separation. - Fahimeh Bahmaninezhad; Shi-Xiong Zhang 001; Yong Xu 004; Meng Yu 003; John H. L. Hansen; Dong Yu 001 (CoRR, 2019)

Sound Event Detection and Time-Frequency Segmentation from Weakly Labelled Data. - Qiuqiang Kong; Yong Xu 004; Iwona Sobieraj; Wenwu Wang 001; Mark D. Plumbley (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Weakly Labelled AudioSet Tagging With Attention Neural Networks. - Qiuqiang Kong; Changsong Yu; Yong Xu 004; Turab Iqbal; Wenwu Wang 001; Mark D. Plumbley (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Self-Supervised Learning for Audio-Visual Speaker Diarization. - Yifan Ding; Yong Xu 004; Shi-Xiong Zhang 001; Yahuan Cong; Liqiang Wang (ICASSP, 2020)

Enhancing End-to-End Multi-Channel Speech Separation Via Spatial Feature Learning. - Rongzhi Gu; Shi-Xiong Zhang 001; Lianwu Chen; Yong Xu 004; Meng Yu 003; Dan Su 002; Yuexian Zou; Dong Yu 001 (ICASSP, 2020)

Far-Field Location Guided Target Speech Extraction Using End-to-End Speech Recognition Objectives. - Aswin Shanmugam Subramanian; Chao Weng; Meng Yu 003; Shi-Xiong Zhang 001; Yong Xu 004; Shinji Watanabe 001; Dong Yu 001 (ICASSP, 2020)

Neural Spatio-Temporal Beamformer for Target Speech Separation. - Yong Xu 004; Meng Yu 003; Shi-Xiong Zhang 001; Lianwu Chen; Chao Weng; Jianming Liu; Dong Yu 001 (INTERSPEECH, 2020)

Audio-Visual Multi-Channel Recognition of Overlapped Speech. - Jianwei Yu 001; Bo Wu 011; Rongzhi Gu; Shi-Xiong Zhang 001; Lianwu Chen; Yong Xu 004; Meng Yu 003; Dan Su 002; Dong Yu 001; Xunying Liu; Helen Meng (INTERSPEECH, 2020)

Multi-Modal Multi-Channel Target Speech Separation. - Rongzhi Gu; Shi-Xiong Zhang 001; Yong Xu 004; Lianwu Chen; Yuexian Zou; Dong Yu 001 (IEEE J. Sel. Top. Signal Process., 2020)

Audio-Visual Speech Separation and Dereverberation With a Two-Stage Multimodal Network. - Ke Tan 001; Yong Xu 004; Shi-Xiong Zhang 001; Meng Yu 003; Dong Yu 001 (IEEE J. Sel. Top. Signal Process., 2020)

Sound Event Detection of Weakly Labelled Data With CNN-Transformer and Automatic Threshold Optimization. - Qiuqiang Kong; Yong Xu 004; Wenwu Wang 001; Mark D. Plumbley (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Directional ASR: A New Paradigm for E2E Multi-Speaker Speech Recognition with Source Localization. - Aswin Shanmugam Subramanian; Chao Weng; Shinji Watanabe 001; Meng Yu 003; Yong Xu 004; Shi-Xiong Zhang 001; Dong Yu 001 (ICASSP, 2021)

ADL-MVDR: All Deep Learning MVDR Beamformer for Target Speech Separation. - Zhuohuang Zhang; Yong Xu 004; Meng Yu 003; Shi-Xiong Zhang 001; Lianwu Chen; Dong Yu 001 (ICASSP, 2021)

MIMO Self-Attentive RNN Beamformer for Multi-Speaker Speech Separation. - Xiyun Li; Yong Xu 004; Meng Yu 003; Shi-Xiong Zhang 001; Jiaming Xu 001; Bo Xu 002; Dong Yu 001 (Interspeech, 2021)

TeCANet: Temporal-Contextual Attention Network for Environment-Aware Speech Dereverberation. - Helin Wang; Bo Wu 011; Lianwu Chen; Meng Yu 003; Jianwei Yu 001; Yong Xu 004; Shi-Xiong Zhang 001; Chao Weng; Dan Su 002; Dong Yu 001 (Interspeech, 2021)

Generalized Spatio-Temporal RNN Beamformer for Target Speech Separation. - Yong Xu 004; Zhuohuang Zhang; Meng Yu 003; Shi-Xiong Zhang 001; Dong Yu 001 (Interspeech, 2021)

MetricNet: Towards Improved Modeling For Non-Intrusive Speech Quality Assessment. - Meng Yu 003; Chunlei Zhang; Yong Xu 004; Shi-Xiong Zhang 001; Dong Yu 001 (Interspeech, 2021)

Neural Mask based Multi-channel Convolutional Beamforming for Joint Dereverberation, Echo Cancellation and Denoising. - Jianming Liu; Meng Yu 003; Yong Xu 004; Chao Weng; Shi-Xiong Zhang 001; Lianwu Chen; Dong Yu 001 (SLT, 2021)

WPD++: An Improved Neural Beamformer for Simultaneous Speech Separation and Dereverberation. - Zhaoheng Ni; Yong Xu 004; Meng Yu 003; Bo Wu 011; Shi-Xiong Zhang 001; Dong Yu 001; Michael I. Mandel (SLT, 2021)

Generalized RNN beamformer for target speech separation. - Yong Xu 004; Zhuohuang Zhang; Meng Yu 003; Shi-Xiong Zhang 001; Lianwu Chen; Dong Yu 001 (CoRR, 2021)

Joint AEC AND Beamforming with Double-Talk Detection using RNN-Transformer. - Vinay Kothapally; Yong Xu 004; Meng Yu 003; Shi-Xiong Zhang 001; Dong Yu 001 (CoRR, 2021)

An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation. - Daniel Michelsanti; Zheng-Hua Tan; Shi-Xiong Zhang 001; Yong Xu 004; Meng Yu 003; Dong Yu 001; Jesper Jensen 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Multi-Channel Multi-Frame ADL-MVDR for Target Speech Separation. - Zhuohuang Zhang; Yong Xu 004; Meng Yu 003; Shi-Xiong Zhang 001; Lianwu Chen; Donald S. Williamson; Dong Yu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Visually Assisted Self-supervised Audio Speaker Localization and Tracking. - Jinzheng Zhao; Peipei Wu; Shidrokh Goudarzi; Xubo Liu 001; Jianyuan Sun; Yong Xu 004; Wenwu Wang 001 (EUSIPCO, 2022)

Audio-Visual Tracking of Multiple Speakers Via a PMBM Filter. - Jinzheng Zhao; Peipei Wu; Xubo Liu 001; Yong Xu 004; Lyudmila Mihaylova; Simon J. Godsill; Wenwu Wang 001 (ICASSP, 2022)

Joint Neural AEC and Beamforming with Double-Talk Detection. - Vinay Kothapally; Yong Xu 004; Meng Yu 003; Shi-Xiong Zhang 001; Dong Yu 001 (INTERSPEECH, 2022)

Audio Visual Multi-Speaker Tracking with Improved GCF and PMBM Filter. - Jinzheng Zhao; Peipei Wu; Xubo Liu 001; Shidrokh Goudarzi; Haohe Liu; Yong Xu 004; Wenwu Wang 001 (INTERSPEECH, 2022)

EEND-SS: Joint End-to-End Neural Speaker Diarization and Speech Separation for Flexible Number of Speakers. - Soumi Maiti; Yushi Ueda; Shinji Watanabe 001; Chunlei Zhang; Meng Yu 003; Shi-Xiong Zhang 001; Yong Xu 004 (SLT, 2022)

NeuralEcho: A Self-Attentive Recurrent Neural Network For Unified Acoustic Echo Suppression And Speech Enhancement. - Meng Yu 003; Yong Xu 004; Chunlei Zhang; Shi-Xiong Zhang 001; Dong Yu 001 (CoRR, 2022)

Neural Sound Field Decomposition with Super-resolution of Sound Direction. - Qiuqiang Kong; Shilei Liu; Junjie Shi; Xuzhou Ye; Yin Cao; Qiaoxi Zhu; Yong Xu 004; Yuxuan Wang 002 (CoRR, 2022)

Neuralecho: Hybrid of Full-Band and Sub-Band Recurrent Neural Network For Acoustic Echo Cancellation and Speech Enhancement. - Meng Yu 003; Yong Xu 004; Chunlei Zhang; Shi-Xiong Zhang 001; Dong Yu 001 (ASRU, 2023)

Deep Neural Mel-Subband Beamformer for in-Car Speech Separation. - Vinay Kothapally; Yong Xu 004; Meng Yu 003; Shi-Xiong Zhang 001; Dong Yu 001 (ICASSP, 2023)

Zoneformer: On-device Neural Beamformer For In-car Multi-zone Speech Separation, Enhancement and Echo Cancellation. - Yong Xu 004; Vinay Kothapally; Meng Yu 003; Shixiong Zhang 001; Dong Yu 001 (INTERSPEECH, 2023)

Audio Visual Speaker Localization from EgoCentric Views. - Jinzheng Zhao; Yong Xu 004; Xinyuan Qian 001; Wenwu Wang 001 (CoRR, 2023)

Audio-Visual Speaker Tracking: Progress, Challenges, and Future Directions. - Jinzheng Zhao; Yong Xu 004; Xinyuan Qian 001; Davide Berghi; Peipei Wu; Meng Cui; Jianyuan Sun; Philip J. B. Jackson; Wenwu Wang 001 (CoRR, 2023)

Text-Queried Target Sound Event Localization. - Jinzheng Zhao; Xinyuan Qian 001; Yong Xu 004; Haohe Liu; Yin Cao; Davide Berghi; Wenwu Wang 001 (EUSIPCO, 2024)

SPATIALCODEC: Neural Spatial Speech Coding. - Zhongweiyang Xu; Yong Xu 004; Vinay Kothapally; Heming Wang; Muqiao Yang; Dong Yu 001 (ICASSP, 2024)

uSee: Unified Speech Enhancement And Editing with Conditional Diffusion Models. - Muqiao Yang; Chunlei Zhang; Yong Xu 004; Zhongweiyang Xu; Heming Wang; Bhiksha Raj; Dong Yu 001 (ICASSP, 2024)

LibriheavyMix: A 20, 000-Hour Dataset for Single-Channel Reverberant Multi-Talker Speech Separation, ASR and Speaker Diarization. - Zengrui Jin; Yifan Yang 005; Mohan Shi; Wei Kang 006; Xiaoyu Yang 005; Zengwei Yao; Fangjun Kuang; Liyong Guo; Lingwei Meng; Long Lin; Yong Xu 004; Shi-Xiong Zhang 001; et al. (INTERSPEECH, 2024)

Multi-Channel Multi-Speaker ASR Using Target Speaker's Solo Segment. - Yiwen Shao; Shi-Xiong Zhang 001; Yong Xu 004; Meng Yu 003; Dong Yu 001; Daniel Povey; Sanjeev Khudanpur (INTERSPEECH, 2024)

Spatialemb: Extract and Encode Spatial Information for 1-Stage Multi-Channel Multi-Speaker ASR on Arbitrary Microphone Arrays. - Yiwen Shao; Yong Xu 004; Sanjeev Khudanpur; Dong Yu 001 (SLT, 2024)

Advancing Multi-Talker ASR Performance With Large Language Models. - Mohan Shi; Zengrui Jin; Yaoxun Xu; Yong Xu 004; Shi-Xiong Zhang 001; Kun Wei; Yiwen Shao; Chunlei Zhang; Dong Yu 001 (SLT, 2024)

LibriheavyMix: A 20,000-Hour Dataset for Single-Channel Reverberant Multi-Talker Speech Separation, ASR and Speaker Diarization. - Zengrui Jin; Yifan Yang 005; Mohan Shi; Wei Kang 006; Xiaoyu Yang 005; Zengwei Yao; Fangjun Kuang; Liyong Guo; Lingwei Meng; Long Lin; Yong Xu 004; Shi-Xiong Zhang 001; et al. (CoRR, 2024)

EzAudio: Enhancing Text-to-Audio Generation with Efficient Diffusion Transformer. - Jiarui Hai; Yong Xu 004; Hao Zhang 112; Chenxing Li; Helin Wang; Mounya Elhilali; Dong Yu 001 (CoRR, 2024)

Labelled Non-Zero Diffusion Particle Flow SMC-PHD Filtering for Multi-Speaker Tracking. - Yang Liu 175; Yong Xu 004; Peipei Wu; Wenwu Wang 001 (IEEE Trans. Multim., 2024)

VietASR: Achieving Industry-level Vietnamese ASR with 50-hour labeled data and Large-Scale Speech Pretraining. - Jianheng Zhuo; Yifan Yang 005; Yiwen Shao; Yong Xu 004; Dong Yu 001; Kai Yu 004; Xie Chen 001 (CoRR, 2025)