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2020 – today
- 2021
[j84]Bin Li
, Lucas Rencker, Jing Dong, Yuhui Luo, Mark D. Plumbley, Wenwu Wang:
Sparse Analysis Model Based Dictionary Learning for Signal Declipping. IEEE J. Sel. Top. Signal Process. 15(1): 25-36 (2021)- [j83]Yang Xian, Yang Sun, Wenwu Wang, Syed Mohsen Naqvi:
A Multi-Scale Feature Recalibration Network for End-to-End Single Channel Speech Enhancement. IEEE J. Sel. Top. Signal Process. 15(1): 143-155 (2021) - [j82]Jielong Yang, Xionghu Zhong, Weiguang Chen, Wenwu Wang:
Multiple Acoustic Source Localization in Microphone Array Networks. IEEE ACM Trans. Audio Speech Lang. Process. 29: 334-347 (2021) - [j81]Yulong Huang, Chao Xue, Fengchi Zhu, Wenwu Wang, Yonggang Zhang, Jonathon A. Chambers:
Adaptive Recursive Decentralized Cooperative Localization for Multirobot Systems With Time-Varying Measurement Accuracy. IEEE Trans. Instrum. Meas. 70: 1-25 (2021) - [i34]Helin Wang, Yuexian Zou, Wenwu Wang:
A Global-local Attention Framework for Weakly Labelled Audio Tagging. CoRR abs/2102.01931 (2021) - [i33]Turab Iqbal, Karim Helwani, Arvindh Krishnaswamy, Wenwu Wang:
Enhancing Audio Augmentation Methods with Consistency Learning. CoRR abs/2102.05151 (2021) - 2020
- [j80]Xiuqin Chu, Wenwu Wang, Jun Wang, Feng Wu, Yuhuan Luo, Wenting Guo, Na Li, Yushan Li:
A Novel Decision Feedback Equalization Structure for Nonlinear High-Speed Links. IEEE Access 8: 59135-59144 (2020) - [j79]Hong Yang, Luwei Qi, Yanbo Zhang, Bo Tang, Qianqian Liu, Hao Xu, Xueli Ma, Xiaolei Wang, Yongliang Li, Huaxiang Yin, Junfeng Li, Huilong Zhu, Chao Zhao, Wenwu Wang, Tianchun Ye:
Influence of an ALD TiN capping layer on the PBTI characteristics of n-FinFET with ALD HfO2/TiN-capping/TiAl gate stacks. Sci. China Inf. Sci. 63(2): 129403 (2020) - [j78]Jing Dong, Zhichao Xue, Wenwu Wang:
Robust PCA Using Nonconvex Rank Approximation and Sparse Regularizer. Circuits Syst. Signal Process. 39(6): 3086-3104 (2020) - [j77]Shili Peng, Qinghua Hu, Jianwu Dang, Wenwu Wang:
Optimal feasible step-size based working set selection for large scale SVMs training. Neurocomputing 407: 366-375 (2020) - [j76]Mi He, Yongjian Nian, Luping Xu, Lihong Qiao, Wenwu Wang:
Adaptive Separation of Respiratory and Heartbeat Signals among Multiple People Based on Empirical Wavelet Transform Using UWB Radar. Sensors 20(17): 4913 (2020) - [j75]Dongli Xu, Jian Guan, Pengming Feng, Wenwu Wang:
Association Loss for Visual Object Detection. IEEE Signal Process. Lett. 27: 1435-1439 (2020) - [j74]Helin Wang, Yuexian Zou, Dading Chong, Wenwu Wang:
Modeling Label Dependencies for Audio Tagging With Graph Convolutional Network. IEEE Signal Process. Lett. 27: 1560-1564 (2020) - [j73]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) - [j72]Qiuqiang Kong, Yin Cao, Turab Iqbal, Yuxuan Wang, Wenwu Wang, Mark D. Plumbley:
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2880-2894 (2020) - [j71]Yina Guo, Xiangning Zhao, Jianyu Li, Anhong Wang, Wenwu Wang:
Blind Multiple-Input Multiple-Output Image Phase Retrieval. IEEE Trans. Ind. Electron. 67(3): 2220-2230 (2020) - [j70]Yina Guo, Jianguo Chen, Xiaowen Ren, Anhong Wang, Wenwu Wang:
Joint Raindrop and Haze Removal From a Single Image. IEEE Trans. Image Process. 29: 9508-9519 (2020) - [j69]Yang Liu, Volkan Kiliç, Jian Guan, Wenwu Wang:
Audio-Visual Particle Flow SMC-PHD Filtering for Multi-Speaker Tracking. IEEE Trans. Multim. 22(4): 934-948 (2020) - [c122]Yang Xian, Yang Sun, Wenwu Wang, Syed Mohsen Naqvi:
Multi-Scale Residual Convolutional Encoder Decoder with Bidirectional Long Short-Term Memory for Single Channel Speech Enhancement. EUSIPCO 2020: 431-435 - [c121]Qiuqiang Kong, Yuxuan Wang, Xuchen Song, Yin Cao, Wenwu Wang, Mark D. Plumbley:
Source Separation with Weakly Labelled Data: an Approach to Computational Auditory Scene Analysis. ICASSP 2020: 101-105 - [c120]Sixin Hong, Yuexian Zou, Wenwu Wang, Meng Cao:
Weakly Labelled Audio Tagging Via Convolutional Networks with Spatial and Channel-Wise Attention. ICASSP 2020: 296-300 - [c119]Turab Iqbal, Yin Cao, Qiuqiang Kong, Mark D. Plumbley, Wenwu Wang:
Learning With Out-of-Distribution Data for Audio Classification. ICASSP 2020: 636-640 - [c118]Jian Guan, Jiabei Liu, Jianguo Sun, Pengming Feng, Tong Shuai, Wenwu Wang:
Meta Metric Learning for Highly Imbalanced Aerial Scene Classification. ICASSP 2020: 4047-4051 - [c117]Takahiro Murakami, Wenwu Wang:
An Analytical Solution to Jacobsen Estimator for Windowed Signals. ICASSP 2020: 5950-5954 - [c116]Sixin Hong, Yuexian Zou, Wenwu Wang:
Gated Multi-Head Attention Pooling for Weakly Labelled Audio Tagging. INTERSPEECH 2020: 816-820 - [c115]Helin Wang, Yuexian Zou, Dading Chong, Wenwu Wang:
Environmental Sound Classification with Parallel Temporal-Spectral Attention. INTERSPEECH 2020: 821-825 - [c114]Longda Zhou, Qingzhu Zhang, Hong Yang, Zhigang Ji, Zhaohao Zhang, Renren Xu, Huaxiang Yin, Wenwu Wang:
Comparative Study on the Energy Profile of NBTI-Related Defects in Si and Ferroelectric p-FinFETs. IRPS 2020: 1-6 - [i32]Qiuqiang Kong, Yuxuan Wang, Xuchen Song, Yin Cao, Wenwu Wang, Mark D. Plumbley:
Source separation with weakly labelled data: An approach to computational auditory scene analysis. CoRR abs/2002.02065 (2020) - [i31]Turab Iqbal, Yin Cao, Qiuqiang Kong, Mark D. Plumbley, Wenwu Wang:
Learning with Out-of-Distribution Data for Audio Classification. CoRR abs/2002.04683 (2020) - [i30]Weitao Yuan, Bofei Dong, Shengbei Wang, Masashi Unoki, Wenwu Wang:
Evolving Multi-Resolution Pooling CNN for Monaural Singing Voice Separation. CoRR abs/2008.00816 (2020) - [i29]Yin Cao, Turab Iqbal, Qiuqiang Kong, Yue Zhong, Wenwu Wang, Mark D. Plumbley:
Event-Independent Network for Polyphonic Sound Event Localization and Detection. CoRR abs/2010.00140 (2020) - [i28]Yin Cao, Turab Iqbal, Qiuqiang Kong, Fengyan An, Wenwu Wang, Mark D. Plumbley:
An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection. CoRR abs/2010.13092 (2020)
2010 – 2019
- 2019
- [j68]Yina Guo, Tao Wang, Jianyu Li, Anhong Wang, Wenwu Wang:
Multiple Input Single Output Phase Retrieval. Circuits Syst. Signal Process. 38(8): 3818-3840 (2019) - [j67]Wenwu Wang, Ping Yu, Lu Lin, Tiejun Tong:
Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression. J. Mach. Learn. Res. 20: 60:1-60:49 (2019) - [j66]Yang Sun, Yang Xian, Wenwu Wang, Syed Mohsen Naqvi:
Monaural Source Separation in Complex Domain With Long Short-Term Memory Neural Network. IEEE J. Sel. Top. Signal Process. 13(2): 359-369 (2019) - [j65]Yang Chen, Wenwu Wang, Zhe Wang, Bingyin Xia:
A Source Counting Method Using Acoustic Vector Sensor Based on Sparse Modeling of DOA Histogram. IEEE Signal Process. Lett. 26(1): 69-73 (2019) - [j64]Weitao Yuan, Shengbei Wang, Xiangrui Li, Masashi Unoki, Wenwu Wang:
A Skip Attention Mechanism for Monaural Singing Voice Separation. IEEE Signal Process. Lett. 26(10): 1481-1485 (2019) - [j63]Qingju Liu, Philip J. B. Jackson, Wenwu Wang:
A Speech Synthesis Approach for High Quality Speech Separation and Generation. IEEE Signal Process. Lett. 26(12): 1872-1876 (2019) - [j62]Yang Sun, Wenwu Wang, Jonathon A. Chambers, Syed Mohsen Naqvi:
Two-Stage Monaural Source Separation in Reverberant Room Environments Using Deep Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 27(1): 125-139 (2019) - [j61]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) - [j60]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) - [j59]Luca Remaggi, Philip J. B. Jackson, Wenwu Wang:
Modeling the Comb Filter Effect and Interaural Coherence for Binaural Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 2263-2277 (2019) - [j58]Lucas Rencker, Francis R. Bach, Wenwu Wang, Mark D. Plumbley:
Sparse Recovery and Dictionary Learning From Nonlinear Compressive Measurements. IEEE Trans. Signal Process. 67(21): 5659-5670 (2019) - [c113]Junyi Peng, Rongzhi Gu, Yuexian Zou, Wenwu Wang:
Speaker-discriminative Embedding Learning via Affinity Matrix for Short Utterance Speaker Verification. APSIPA 2019: 314-319 - [c112]Shuoyang Li, Yuantao Gu, Yuhui Luo, Jonathon A. Chambers, Wenwu Wang:
Enhanced Streaming Based Subspace Clustering Applied to Acoustic Scene Data Clustering. ICASSP 2019: 11-15 - [c111]Weitao Yuan, Shengbei Wang, Xiangrui Li, Masashi Unoki, Wenwu Wang:
Proximal Deep Recurrent Neural Network for Monaural Singing Voice Separation. ICASSP 2019: 286-290 - [c110]Qiuqiang Kong, Yong Xu, Turab Iqbal, Yin Cao, Wenwu Wang, Mark D. Plumbley:
Acoustic Scene Generation with Conditional Samplernn. ICASSP 2019: 925-929 - [c109]Yuexian Zou, Yi Wang, Wenjie Guan, Wenwu Wang:
Semantic Super-resolution for Extremely Low-resolution Vehicle License Plate. ICASSP 2019: 3772-3776 - [c108]Yang Liu, Qinghua Hu, Yuexian Zou, Wenwu Wang:
Labelled Non-zero Particle Flow for SMC-PHD Filtering. ICASSP 2019: 5197-5201 - [c107]Yan Tang, Trevor J. Cox, Bruno M. Fazenda, Qingju Liu, Wenwu Wang:
Background Adaptation for Improved Listening Experience in Broadcasting. ICASSP 2019: 8008-8012 - [c106]Christian Kroos, Oliver Bones, Yin Cao, Lara Harris, Philip J. B. Jackson, William J. Davies, Wenwu Wang, Trevor J. Cox, Mark D. Plumbley:
Generalisation in Environmental Sound Classification: The 'Making Sense of Sounds' Data Set and Challenge. ICASSP 2019: 8082-8086 - [c105]Jun Wang, Shengchen Li, Wenwu Wang:
SVD-Based Channel Pruning for Convolutional Neural Network in Acoustic Scene Classification Model. ICME Workshops 2019: 390-395 - [c104]Yang Sun, Yang Xian, Wenwu Wang, Syed Mohsen Naqvi:
Single-Channel Speech Enhancement with Sequentially Trained DNN System. ICSPCS 2019: 1-6 - [c103]Yang Xian, Yang Sun, Wenwu Wang, Syed Mohsen Naqvi:
Monaural Speech Enhancement Based On Two Stage Long Short-Term Memory Networks. ICSPCS 2019: 1-5 - [c102]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 - [c101]Dading Chong, Yuexian Zou, Wenwu Wang:
Multi-channel Convolutional Neural Networks with Multi-level Feature Fusion for Environmental Sound Classification. MMM (2) 2019: 157-168 - [i27]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) - [i26]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) - [i25]Yin Cao, Qiuqiang Kong, Turab Iqbal, Fengyan An, Wenwu Wang, Mark D. Plumbley:
Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy. CoRR abs/1905.00268 (2019) - [i24]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) - [i23]Luca Remaggi, Philip J. B. Jackson, Wenwu Wang:
Modeling the Comb Filter Effect and Interaural Coherence for Binaural Source Separation. CoRR abs/1910.02127 (2019) - [i22]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) - [i21]Helin Wang, Yuexian Zou, Dading Chong, Wenwu Wang:
Learning discriminative and robust time-frequency representations for environmental sound classification. CoRR abs/1912.06808 (2019) - [i20]Qiuqiang Kong, Yin Cao, Turab Iqbal, Yuxuan Wang, Wenwu Wang, Mark D. Plumbley:
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition. CoRR abs/1912.10211 (2019) - 2018
- [j57]Disong Wang, Yuexian Zou, Wenwu Wang:
Learning soft mask with DNN and DNN-SVM for multi-speaker DOA estimation using an acoustic vector sensor. J. Frankl. Inst. 355(4): 1692-1709 (2018) - [j56]Fanglin Gu, Shan Wang, Wenwu Wang:
Standard-independent I/Q imbalance estimation and compensation scheme inOFDM. Frontiers Inf. Technol. Electron. Eng. 19(3): 388-397 (2018) - [j55]Jianqing Liang, Qinghua Hu, Pengfei Zhu, Wenwu Wang:
Efficient multi-modal geometric mean metric learning. Pattern Recognit. 75: 188-198 (2018) - [j54]Josef Kittler, Cemre Zor, Ioannis Kaloskampis, Yulia Hicks, Wenwu Wang:
Error sensitivity analysis of Delta divergence - a novel measure for classifier incongruence detection. Pattern Recognit. 77: 30-44 (2018) - [j53]Syed Zubair, Naveed Ishtiaq Chaudhary, Zeshan Aslam Khan, Wenwu Wang:
Momentum fractional LMS for power signal parameter estimation. Signal Process. 142: 441-449 (2018) - [j52]Jian Guan, Xuan Wang, Pengming Feng, Jing Dong, Jonathon A. Chambers, Zoe Lin Jiang, Wenwu Wang:
Polynomial dictionary learning algorithms in sparse representations. Signal Process. 142: 492-503 (2018) - [j51]Yina Guo, Anhong Wang, Wenwu Wang:
Multi-source phase retrieval from multi-channel phaseless STFT measurements. Signal Process. 144: 36-40 (2018) - [j50]Yan Tang, Qingju Liu, Wenwu Wang, Trevor J. Cox:
A non-intrusive method for estimating binaural speech intelligibility from noise-corrupted signals captured by a pair of microphones. Speech Commun. 96: 116-128 (2018) - [j49]Jing Dong, Zhichao Xue, Jian Guan, Zi-Fa Han, Wenwu Wang:
Low rank matrix completion using truncated nuclear norm and sparse regularizer. Signal Process. Image Commun. 68: 76-87 (2018) - [j48]Jiayang Wang, Gen Li, Lucas Rencker, Wenwu Wang, Yuantao Gu:
An RIP-Based Performance Guarantee of Covariance-Assisted Matching Pursuit. IEEE Signal Process. Lett. 25(6): 828-832 (2018) - [j47]Swati Chandna, Wenwu Wang:
Bootstrap Averaging for Model-Based Source Separation in Reverberant Conditions. IEEE ACM Trans. Audio Speech Lang. Process. 26(4): 806-819 (2018) - [j46]Yi Wang, Yuexian Zou, Wenwu Wang:
Manifold-Based Visual Object Counting. IEEE Trans. Image Process. 27(7): 3248-3263 (2018) - [j45]Qingju Liu, Wenwu Wang, Teofilo de Campos, Philip J. B. Jackson, Adrian Hilton:
Multiple Speaker Tracking in Spatial Audio via PHD Filtering and Depth-Audio Fusion. IEEE Trans. Multim. 20(7): 1767-1780 (2018) - [c100]Saeid Safavi, Andy Pearce, Wenwu Wang, Mark D. Plumbley:
Predicting the perceived level of reverberation using machine learning. ACSSC 2018: 27-30 - [c99]Qingju Liu, Wenwu Wang, Philip J. B. Jackson, Saeid Safavi:
A Performance Evaluation of Several Deep Neural Networks for Reverberant Speech Separation. ACSSC 2018: 689-693 - [c98]Yang Sun, Wenwu Wang, Jonathon A. Chambers, Syed Mohsen Naqvi:
Enhanced Time-Frequency Masking by Using Neural Networks for Monaural Source Separation in Reverberant Room Environments. EUSIPCO 2018: 1647-1651 - [c97]Turab Iqbal, Yong Xu, Qiuqiang Kong, Wenwu Wang:
Capsule Routing for Sound Event Detection. EUSIPCO 2018: 2255-2259 - [c96]Shuoyang Li, Wenwu Wang:
Randomly Sketched Sparse Subspace Clustering for Acoustic Scene Clustering. EUSIPCO 2018: 2489-2493 - [c95]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 - [c94]Lucas Rencker, Francis R. Bach, Wenwu Wang, Mark D. Plumbley:
Consistent Dictionary Learning for Signal Declipping. LVA/ICA 2018: 446-455 - [c93]Yong Xu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley:
Large-Scale Weakly Supervised Audio Classification Using Gated Convolutional Neural Network. ICASSP 2018: 121-125 - [c92]Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley:
Audio Set Classification with Attention Model: A Probabilistic Perspective. ICASSP 2018: 316-320 - [c91]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 - [c90]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 - [c89]Qiang Huang, Philip J. B. Jackson, Mark D. Plumbley, Wenwu Wang:
Synthesis of Images by Two-Stage Generative Adversarial Networks. ICASSP 2018: 1593-1597 - [c88]Viet Hung Tran, Wenwu Wang, Yuhui Luo, Jonathon A. Chambers:
Bayesian Inference for Multi-Line Spectra in Linear Sensor Array. ICASSP 2018: 4254-4258 - [c87]Yang Liu, Adrian Hilton, Jonathon A. Chambers, Yuxin Zhao, Wenwu Wang:
Non-Zero Diffusion Particle Flow SMC-PHD Filter for Audio-Visual Multi-Speaker Tracking. ICASSP 2018: 4304-4308 - [c86]Josef Kittler, Ioannis Kaloskampis, Cemre Zor, Yang Xu, Yulia Hicks, Wenwu Wang:
Intelligent Signal Processing Mechanisms for Nuanced Anomaly Detection in Action Audio-Visual Data Streams. ICASSP 2018: 6563-6567 - [c85]Jianchao Gao, Hong Shi, Wenwu Wang:
Spatially Regularized Low Rank Tensor Optimization for Visual Data Completion. ICIP 2018: 1822-1826 - [c84]Xiaohu Zhang, Yuexian Zou, Wenwu Wang:
LD-CNN: A Lightweight Dilated Convolutional Neural Network for Environmental Sound Classification. ICPR 2018: 373-378 - [c83]Huan Zhang, Hong Shi, Wenwu Wang:
Cascade Deep Networks for Sparse Linear Inverse Problems. ICPR 2018: 812-817 - [i19]Turab Iqbal, Wenwu Wang:
Approximate Message Passing for Underdetermined Audio Source Separation. CoRR abs/1802.00380 (2018) - [i18]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) - [i17]Turab Iqbal, Yong Xu, Qiuqiang Kong, Wenwu Wang:
Capsule Routing for Sound Event Detection. CoRR abs/1806.04699 (2018) - [i16]Qiuqiang Kong, Turab Iqbal, Yong Xu, Wenwu Wang, Mark D. Plumbley:
DCASE 2018 Challenge baseline with convolutional neural networks. CoRR abs/1808.00773 (2018) - [i15]Viet Hung Tran, Wenwu Wang:
Bayesian inference for PCA and MUSIC algorithms with unknown number of sources. CoRR abs/1809.10168 (2018) - [i14]Yang Liu, Wenwu Wang, Volkan Kilic:
Intensity Particle Flow SMC-PHD Filter For Audio Speaker Tracking. CoRR abs/1812.01570 (2018) - 2017
- [j44]Wenwu Wang, Ping Yu:
Asymptotically optimal differenced estimators of error variance in nonparametric regression. Comput. Stat. Data Anal. 105: 125-143 (2017) - [j43]Fanglin Gu, Hang Zhang, Wenwu Wang, Shan Wang:
An Expectation-Maximization Algorithm for Blind Separation of Noisy Mixtures Using Gaussian Mixture Model. Circuits Syst. Signal Process. 36(7): 2697-2726 (2017) - [j42]Jian Guan, Xuan Wang, Wenwu Wang, Lei Huang:
Sparse Blind Speech Deconvolution with Dynamic Range Regularization and Indicator Function. Circuits Syst. Signal Process. 36(10): 4145-4160 (2017) - [j41]Wenwu Wang, Lu Lin, Li Yu:
Optimal variance estimation based on lagged second-order difference in nonparametric regression. Comput. Stat. 32(3): 1047-1063 (2017) - [j40]Jing Dong, Zi-Fa Han, Yuxin Zhao, Wenwu Wang, Ales Procházka, Jonathon A. Chambers:
Sparse analysis model based multiplicative noise removal with enhanced regularization. Signal Process. 137: 160-176 (2017) - [j39]Luca Remaggi, Philip J. B. Jackson, Philip Coleman, Wenwu Wang:
Acoustic Reflector Localization: Novel Image Source Reversion and Direct Localization Methods. IEEE ACM Trans. Audio Speech Lang. Process. 25(2): 296-309 (2017) - [j38]Andreas Franck, Wenwu Wang, Filippo Maria Fazi:
Sparse ℓ1-Optimal Multiloudspeaker Panning and Its Relation to Vector Base Amplitude Panning. IEEE ACM Trans. Audio Speech Lang. Process. 25(5): 996-1010 (2017) - [j37]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) - [j36]Pengming Feng, Wenwu Wang, Satnam Singh Dlay, Syed Mohsen Naqvi, Jonathon A. Chambers:
Social Force Model-Based MCMC-OCSVM Particle PHD Filter for Multiple Human Tracking. IEEE Trans. Multim. 19(4): 725-739 (2017) - [j35]Jianqing Liang, Qinghua Hu, Wenwu Wang, Yahong Han:
Semisupervised Online Multikernel Similarity Learning for Image Retrieval. IEEE Trans. Multim. 19(5): 1077-1089 (2017) - [c82]Qingju Liu, Wenwu Wang, Philip J. B. Jackson, Yan Tang:
A perceptually-weighted deep neural network for monaural speech enhancement in various background noise conditions. EUSIPCO 2017: 1270-1274 - [c81]Mingyang Chen, Wenwu Wang, Mark Barnard, Jonathon A. Chambers:
Wideband DoA estimation based on joint optimisation of array and spatial sparsity. EUSIPCO 2017: 2106-2110 - [c80]Lucas Rencker, Wenwu Wang, Mark D. Plumbley:
Multivariate iterative hard thresholding for sparse decomposition with flexible sparsity patterns. EUSIPCO 2017: 2156-2160 - [c79]Yang Liu, Wenwu Wang, Jonathon A. Chambers, Volkan Kilic, Adrian Hilton:
Particle Flow SMC-PHD Filter for Audio-Visual Multi-speaker Tracking. LVA/ICA 2017: 344-353 - [c78]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 - [c77]Ronan Hamon, Valentin Emiya, Lucas Rencker, Wenwu Wang, Mark D. Plumbley:
Assessment of musical noise using localization of isolated peaks in time-frequency domain. ICASSP 2017: 696-700 - [c76]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 - [c75]Yang Liu, Wenwu Wang, Yuxin Zhao:
Particle flow for sequential Monte Carlo implementation of probability hypothesis density. ICASSP 2017: 4371-4375 - [c74]Lucas Rencker, Wenwu Wang, Mark D. Plumbley:
A greedy algorithm with learned statistics for sparse signal reconstruction. ICASSP 2017: 4775-4779 - [c73]