Mark D. Plumbley

407 papers A* 3A 16B 1C 3Misc 58Journal 190Unranked 130

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BioDCASE 2026 Challenge Baseline for Cross-Domain Mosquito Species Classification. CoRR Yuanbo Hou, Vanja Zdravkovic, Marianne Sinka, Yunpeng Li, Wenwu Wang, Mark D. Plumbley, Kathy Willis, Stephen J. Roberts
2026	J	`jnl`	Summary of The Inaugural Music Source Restoration Challenge. CoRR Yongyi Zang, Jiarui Hai, Wanying Ge, Qiuqiang Kong, Zheqi Dai, Helin Wang, Yuki Mitsufuji, Mark D. Plumbley
2025	Misc	`conf`	A decade of DCASE: Achievements, practices, evaluations and future challenges. ICASSP Annamaria Mesaros, Romain Serizel, Toni Heittola, Tuomas Virtanen, Mark D. Plumbley
2025	J	`jnl`	AudioTurbo: Fast Text-to-Audio Generation with Rectified Diffusion. CoRR Junqi Zhao, Jinzheng Zhao, Haohe Liu, Yun Chen, Lu Han, Xubo Liu, Mark D. Plumbley, Wenwu Wang
2025	J	`jnl`	City2Scene: Improving Acoustic Scene Classification with City Features. CoRR Yiqiang Cai, Yizhou Tan, Peihong Zhang, Yuxuan Liu, Shengchen Li, Xi Shao, Mark D. Plumbley
2025	J	`jnl`	Compressing Quaternion Convolutional Neural Networks for Audio Classification. CoRR Arshdeep Singh, Vinayak Abrol, Mark D. Plumbley
2025	J	`jnl`	DreamAudio: Customized Text-to-Audio Generation with Diffusion Models. CoRR Yi Yuan, Xubo Liu, Haohe Liu, Xiyuan Kang, Zhuo Chen, Yuxuan Wang, Mark D. Plumbley, Wenwu Wang
2025	A	`conf`	EnvSDD: Benchmarking Environmental Sound Deepfake Detection. INTERSPEECH Han Yin, Yang Xiao, Rohan Kumar Das, Jisheng Bai, Haohe Liu, Wenwu Wang, Mark D. Plumbley
2025	J	`jnl`	EnvSDD: Benchmarking Environmental Sound Deepfake Detection. CoRR Han Yin, Yang Xiao, Rohan Kumar Das, Jisheng Bai, Haohe Liu, Wenwu Wang, Mark D. Plumbley
2025	J	`jnl`	Exploring the User Experience of AI-Assisted Sound Searching Systems for Creative Workflows. CoRR Haohe Liu, Thomas Deacon, Wenwu Wang, Matt Paradis, Mark D. Plumbley
2025	J	`jnl`	Feedback-driven Retrieval-augmented Audio Generation with Large Audio Language Models. CoRR Junqi Zhao, Chenxing Li, Jinzheng Zhao, Rilin Chen, Dong Yu, Mark D. Plumbley, Wenwu Wang
2025	Misc	`conf`	FlowSep: Language-Queried Sound Separation with Rectified Flow Matching. ICASSP Yi Yuan, Xubo Liu, Haohe Liu, Mark D. Plumbley, Wenwu Wang
2025	J	`jnl`	MSRBench: A Benchmarking Dataset for Music Source Restoration. CoRR Yongyi Zang, Jiarui Hai, Wanying Ge, Qiuqiang Kong, Zheqi Dai, Helin Wang, Yuki Mitsufuji, Mark D. Plumbley
2025	C	`conf`	Music Source Restoration. MMSP Yongyi Zang, Zheqi Dai, Mark D. Plumbley, Qiuqiang Kong
2025	J	`jnl`	Music Source Restoration. CoRR Yongyi Zang, Zheqi Dai, Mark D. Plumbley, Qiuqiang Kong
2025	J	`jnl`	Region-Specific Audio Tagging for Spatial Sound. CoRR Jinzheng Zhao, Yong Xu, Haohe Liu, Davide Berghi, Xinyuan Qian, Qiuqiang Kong, Junqi Zhao, Mark D. Plumbley, Wenwu Wang
2025	Misc	`conf`	Sound-VECaps: Improving Audio Generation with Visually Enhanced Captions. ICASSP Yi Yuan, Dongya Jia, Xiaobin Zhuang, Yuanzhe Chen, Zhuo Chen, Yuping Wang, Yuxuan Wang, Xubo Liu, Xiyuan Kang, Mark D. Plumbley, Wenwu Wang
2025	—	`conf`	The APSIPA ASC 2025 Grand Challenge on City and Time-Aware Semi-Supervised Acoustic Scene Classification: Summary and Results. APSIPA Jisheng Bai, Mou Wang, Haohe Liu, Bin Xiang, Ying Liu, Jianfeng Chen, Dongyuan Shi, Mark D. Plumbley, Susanto Rahardja, Woon-Seng Gan
2025	—	`conf`	Towards Reliable Objective Evaluation Metrics for Generative Singing Voice Separation Models. WASPAA Paul Armin Bereuter, Benjamin Stahl, Mark D. Plumbley, Alois Sontacchi
2024	J	`jnl`	A decade of DCASE: Achievements, practices, evaluations and future challenges. CoRR Annamaria Mesaros, Romain Serizel, Toni Heittola, Tuomas Virtanen, Mark D. Plumbley
2024	J	`jnl`	ASiT: Local-Global Audio Spectrogram Vision Transformer for Event Classification. IEEE ACM Trans. Audio Speech Lang. Process. Sara Atito Ali Ahmed, Muhammad Awais, Wenwu Wang, Mark D. Plumbley, Josef Kittler
2024	J	`jnl`	Acoustic Scene Classification Across Cities and Devices via Feature Disentanglement. IEEE ACM Trans. Audio Speech Lang. Process. Yizhou Tan, Haojun Ai, Shengchen Li, Mark D. Plumbley
2024	J	`jnl`	AudioLDM 2: Learning Holistic Audio Generation With Self-Supervised Pretraining. IEEE ACM Trans. Audio Speech Lang. Process. Haohe Liu, Yi Yuan, Xubo Liu, Xinhao Mei, Qiuqiang Kong, Qiao Tian, Yuping Wang, Wenwu Wang, Yuxuan Wang, Mark D. Plumbley
2024	Misc	`conf`	Audiosr: Versatile Audio Super-Resolution at Scale. ICASSP Haohe Liu, Ke Chen, Qiao Tian, Wenwu Wang, Mark D. Plumbley
2024	J	`jnl`	Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift. CoRR Jisheng Bai, Mou Wang, Haohe Liu, Han Yin, Yafei Jia, Siwei Huang, Yutong Du, Dongzhe Zhang, Dongyuan Shi, Woon-Seng Gan, Mark D. Plumbley, Susanto Rahardja, Bin Xiang, Jianfeng Chen
2024	A	`conf`	Efficient Audio Captioning with Encoder-Level Knowledge Distillation. INTERSPEECH Xuenan Xu, Haohe Liu, Mengyue Wu, Wenwu Wang, Mark D. Plumbley
2024	J	`jnl`	Efficient Audio Captioning with Encoder-Level Knowledge Distillation. CoRR Xuenan Xu, Haohe Liu, Mengyue Wu, Wenwu Wang, Mark D. Plumbley
2024	A	`conf`	Efficient CNNs with Quaternion Transformations and Pruning for Audio Tagging. INTERSPEECH Aryan Chaudhary, Arshdeep Singh, Vinayak Abrol, Mark D. Plumbley
2024	J	`jnl`	Exploring Differences between Human Perception and Model Inference in Audio Event Recognition. CoRR Yizhou Tan, Yanru Wu, Yuanbo Hou, Xin Xu, Hui Bu, Shengchen Li, Dick Botteldooren, Mark D. Plumbley
2024	J	`jnl`	FlowSep: Language-Queried Sound Separation with Rectified Flow Matching. CoRR Yi Yuan, Xubo Liu, Haohe Liu, Mark D. Plumbley, Wenwu Wang
2024	J	`jnl`	Improving Audio Generation with Visual Enhanced Caption. CoRR Yi Yuan, Dongya Jia, Xiaobin Zhuang, Yuanzhe Chen, Zhengxi Liu, Zhuo Chen, Yuping Wang, Yuxuan Wang, Xubo Liu, Mark D. Plumbley, Wenwu Wang
2024	J	`jnl`	Integrating IP Broadcasting with Audio Tags: Workflow and Challenges. CoRR Rhys Burchett-Vass, Arshdeep Singh, Gabriel Bibbó, Mark D. Plumbley
2024	—	`conf`	Investigating Passive Filter Pruning for Efficient CNN-Transformer Audio Captioning. MLSP Xuenan Xu, Arshdeep Singh, Mengyue Wu, Wenwu Wang, Mark D. Plumbley
2024	A*	`conf`	Learning Temporal Resolution in Spectrogram for Audio Classification. AAAI Haohe Liu, Xubo Liu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley
2024	A	`conf`	Neural Compression Augmentation for Contrastive Audio Representation Learning. INTERSPEECH Zhaoyu Wang, Haohe Liu, Harry Coppock, Björn W. Schuller, Mark D. Plumbley
2024	A	`conf`	PFCA-Net: Pyramid Feature Fusion and Cross Content Attention Network for Automated Audio Captioning. INTERSPEECH Jianyuan Sun, Wenwu Wang, Mark D. Plumbley
2024	J	`jnl`	PSELDNets: Pre-trained Neural Networks on Large-scale Synthetic Datasets for Sound Event Localization and Detection. CoRR Jinbo Hu, Yin Cao, Ming Wu, Fang Kang, Feiran Yang, Wenwu Wang, Mark D. Plumbley, Jun Yang
2024	Misc	`conf`	Retrieval-Augmented Text-to-Audio Generation. ICASSP Yi Yuan, Haohe Liu, Xubo Liu, Qiushi Huang, Mark D. Plumbley, Wenwu Wang
2024	J	`jnl`	Selective-Memory Meta-Learning With Environment Representations for Sound Event Localization and Detection. IEEE ACM Trans. Audio Speech Lang. Process. Jinbo Hu, Yin Cao, Ming Wu, Qiuqiang Kong, Feiran Yang, Mark D. Plumbley, Jun Yang
2024	J	`jnl`	SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Sound. CoRR Haohe Liu, Xuenan Xu, Yi Yuan, Mengyue Wu, Wenwu Wang, Mark D. Plumbley
2024	J	`jnl`	SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Sound. IEEE J. Sel. Top. Signal Process. Haohe Liu, Xuenan Xu, Yi Yuan, Mengyue Wu, Wenwu Wang, Mark D. Plumbley
2024	J	`jnl`	Separation of the Aortic and Pulmonary Components of the Second Heart Sound via Alternating Optimization. IEEE Access Francesco Renna, Alex Gaudio, Sandra da Silva Mattos, Mark D. Plumbley, Miguel Tavares Coimbra
2024	J	`jnl`	SyncFlow: Toward Temporally Aligned Joint Audio-Video Generation from Text. CoRR Haohe Liu, Gaël Le Lan, Xinhao Mei, Zhaoheng Ni, Anurag Kumar, Varun Nagaraja, Wenwu Wang, Mark D. Plumbley, Yangyang Shi, Vikas Chandra
2024	—	`conf`	T-CLAP: Temporal-Enhanced Contrastive Language-Audio Pretraining. MLSP Yi Yuan, Zhuo Chen, Xubo Liu, Haohe Liu, Xuenan Xu, Dongya Jia, Yuanzhe Chen, Mark D. Plumbley, Wenwu Wang
2024	J	`jnl`	T-CLAP: Temporal-Enhanced Contrastive Language-Audio Pretraining. CoRR Yi Yuan, Zhuo Chen, Xubo Liu, Haohe Liu, Xuenan Xu, Dongya Jia, Yuanzhe Chen, Mark D. Plumbley, Wenwu Wang
2024	J	`jnl`	The Sounds of Home: A Speech-Removed Residential Audio Dataset for Sound Event Detection. CoRR Gabriel Bibbó, Thomas Deacon, Arshdeep Singh, Mark D. Plumbley
2024	J	`jnl`	Towards Generating Diverse Audio Captions via Adversarial Training. IEEE ACM Trans. Audio Speech Lang. Process. Xinhao Mei, Xubo Liu, Jianyuan Sun, Mark D. Plumbley, Wenwu Wang
2024	—	`conf`	Universal Sound Separation with Self-Supervised Audio Masked Autoencoder. EUSIPCO Junqi Zhao, Xubo Liu, Jinzheng Zhao, Yi Yuan, Qiuqiang Kong, Mark D. Plumbley, Wenwu Wang
2024	J	`jnl`	Universal Sound Separation with Self-Supervised Audio Masked Autoencoder. CoRR Junqi Zhao, Xubo Liu, Jinzheng Zhao, Yi Yuan, Qiuqiang Kong, Mark D. Plumbley, Wenwu Wang
2024	J	`jnl`	WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research. IEEE ACM Trans. Audio Speech Lang. Process. Xinhao Mei, Chutong Meng, Haohe Liu, Qiuqiang Kong, Tom Ko, Chengqi Zhao, Mark D. Plumbley, Yuexian Zou, Wenwu Wang
2024	—	`conf`	Working with AI Sound: Exploring the Future of Workplace AI Sound Technologies. CHIWORK Thomas Deacon, Mark D. Plumbley
2023	A	`conf`	Adapting Language-Audio Models as Few-Shot Audio Learners. INTERSPEECH Jinhua Liang, Xubo Liu, Haohe Liu, Huy Phan, Emmanouil Benetos, Mark D. Plumbley, Wenwu Wang
2023	J	`jnl`	Adapting Language-Audio Models as Few-Shot Audio Learners. CoRR Jinhua Liang, Xubo Liu, Haohe Liu, Huy Phan, Emmanouil Benetos, Mark D. Plumbley, Wenwu Wang
2023	J	`jnl`	Audio Tagging on an Embedded Hardware Platform. CoRR Gabriel Bibbó, Arshdeep Singh, Mark D. Plumbley
2023	J	`jnl`	AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining. CoRR Haohe Liu, Qiao Tian, Yi Yuan, Xubo Liu, Xinhao Mei, Qiuqiang Kong, Yuping Wang, Wenwu Wang, Yuxuan Wang, Mark D. Plumbley
2023	A*	`conf`	AudioLDM: Text-to-Audio Generation with Latent Diffusion Models. ICML Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo P. Mandic, Wenwu Wang, Mark D. Plumbley
2023	J	`jnl`	AudioLDM: Text-to-Audio Generation with Latent Diffusion Models. CoRR Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo P. Mandic, Wenwu Wang, Mark D. Plumbley
2023	J	`jnl`	AudioSR: Versatile Audio Super-resolution at Scale. CoRR Haohe Liu, Ke Chen, Qiao Tian, Wenwu Wang, Mark D. Plumbley
2023	—	`conf`	Compressing Audio CNNS with Graph Centrality Based Filter Pruning. WASPAA James A. King, Arshdeep Singh, Mark D. Plumbley
2023	J	`jnl`	Compressing audio CNNs with graph centrality based filter pruning. CoRR James A. King, Arshdeep Singh, Mark D. Plumbley
2023	A	`conf`	Dual Transformer Decoder based Features Fusion Network for Automated Audio Captioning. INTERSPEECH Jianyuan Sun, Xubo Liu, Xinhao Mei, Volkan Kiliç, Mark D. Plumbley, Wenwu Wang
2023	J	`jnl`	Dual Transformer Decoder based Features Fusion Network for Automated Audio Captioning. CoRR Jianyuan Sun, Xubo Liu, Xinhao Mei, Volkan Kiliç, Mark D. Plumbley, Wenwu Wang
2023	J	`jnl`	E-PANNs: Sound Recognition Using Efficient Pre-trained Audio Neural Networks. CoRR Arshdeep Singh, Haohe Liu, Mark D. Plumbley
2023	J	`jnl`	Efficient CNNs via Passive Filter Pruning. CoRR Arshdeep Singh, Mark D. Plumbley
2023	Misc	`conf`	Efficient Similarity-Based Passive Filter Pruning for Compressing CNNS. ICASSP Arshdeep Singh, Mark D. Plumbley
2023	J	`jnl`	Latent Diffusion Model Based Foley Sound Generation System For DCASE Challenge 2023 Task 7. CoRR Yi Yuan, Haohe Liu, Xubo Liu, Xiyuan Kang, Mark D. Plumbley, Wenwu Wang
2023	—	`conf`	Leveraging Pre-Trained AudioLDM for Sound Generation: A Benchmark Study. EUSIPCO Yi Yuan, Haohe Liu, Jinhua Liang, Xubo Liu, Mark D. Plumbley, Wenwu Wang
2023	J	`jnl`	Leveraging Pre-trained AudioLDM for Text to Sound Generation: A Benchmark Study. CoRR Yi Yuan, Haohe Liu, Jinhua Liang, Xubo Liu, Mark D. Plumbley, Wenwu Wang
2023	J	`jnl`	META-SELD: Meta-Learning for Fast Adaptation to the new environment in Sound Event Localization and Detection. CoRR Jinbo Hu, Yin Cao, Ming Wu, Feiran Yang, Ziying Yu, Wenwu Wang, Mark D. Plumbley, Jun Yang
2023	J	`jnl`	Numerical evaluation on sub-Nyquist spectrum reconstruction methods. Frontiers Comput. Sci. Zihang Song, Han Zhang, Sean Fuller, Andrew Lambert, Zhinong Ying, Petri Mähönen, Yonina C. Eldar, Shuguang Cui, Mark D. Plumbley, Clive Parini, Arumugam Nallanathan, Yue Gao
2023	A	`conf`	Ontology-aware Learning and Evaluation for Audio Tagging. INTERSPEECH Haohe Liu, Qiuqiang Kong, Xubo Liu, Xinhao Mei, Wenwu Wang, Mark D. Plumbley
2023	J	`jnl`	Retrieval-Augmented Text-to-Audio Generation. CoRR Yi Yuan, Haohe Liu, Xubo Liu, Qiushi Huang, Mark D. Plumbley, Wenwu Wang
2023	J	`jnl`	Selective-Memory Meta-Learning with Environment Representations for Sound Event Localization and Detection. CoRR Jinbo Hu, Yin Cao, Ming Wu, Qiuqiang Kong, Feiran Yang, Mark D. Plumbley, Jun Yang
2023	J	`jnl`	Separate Anything You Describe. CoRR Xubo Liu, Qiuqiang Kong, Yan Zhao, Haohe Liu, Yi Yuan, Yuzhuo Liu, Rui Xia, Yuxuan Wang, Mark D. Plumbley, Wenwu Wang
2023	Misc	`conf`	Simple Pooling Front-Ends for Efficient Audio Classification. ICASSP Xubo Liu, Haohe Liu, Qiuqiang Kong, Xinhao Mei, Mark D. Plumbley, Wenwu Wang
2023	J	`jnl`	Text-Driven Foley Sound Generation With Latent Diffusion Model. CoRR Yi Yuan, Haohe Liu, Xubo Liu, Xiyuan Kang, Peipei Wu, Mark D. Plumbley, Wenwu Wang
2023	J	`jnl`	Universal Source Separation with Weakly Labelled Data. CoRR Qiuqiang Kong, Ke Chen, Haohe Liu, Xingjian Du, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Mark D. Plumbley
2023	A	`conf`	Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention. INTERSPEECH Xubo Liu, Qiushi Huang, Xinhao Mei, Haohe Liu, Qiuqiang Kong, Jianyuan Sun, Shengchen Li, Tom Ko, Yu Zhang, H. Lilian Tang, Mark D. Plumbley, Volkan Kiliç, Wenwu Wang
2023	J	`jnl`	WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research. CoRR Xinhao Mei, Chutong Meng, Haohe Liu, Qiuqiang Kong, Tom Ko, Chengqi Zhao, Mark D. Plumbley, Yuexian Zou, Wenwu Wang
2023	J	`jnl`	WavJourney: Compositional Audio Creation with Large Language Models. CoRR Xubo Liu, Zhongkai Zhu, Haohe Liu, Yi Yuan, Meng Cui, Qiushi Huang, Jinhua Liang, Yin Cao, Qiuqiang Kong, Mark D. Plumbley, Wenwu Wang
2022	A	`conf`	A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classification. INTERSPEECH Arshdeep Singh, Mark D. Plumbley
2022	J	`jnl`	A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classification. CoRR Arshdeep Singh, Mark D. Plumbley
2022	Misc	`conf`	A Track-Wise Ensemble Event Independent Network for Polyphonic Sound Event Localization and Detection. ICASSP Jinbo Hu, Yin Cao, Ming Wu, Qiuqiang Kong, Feiran Yang, Mark D. Plumbley, Jun Yang
2022	J	`jnl`	A Track-Wise Ensemble Event Independent Network for Polyphonic Sound Event Localization and Detection. CoRR Jinbo Hu, Yin Cao, Ming Wu, Qiuqiang Kong, Feiran Yang, Mark D. Plumbley, Jun Yang
2022	J	`jnl`	ASiT: Audio Spectrogram vIsion Transformer for General Audio Representation. CoRR Sara Atito, Muhammad Awais, Wenwu Wang, Mark D. Plumbley, Josef Kittler
2022	J	`jnl`	Automated Audio Captioning via Fusion of Low- and High- Dimensional Features. CoRR Jianyuan Sun, Xubo Liu, Xinhao Mei, Mark D. Plumbley, Volkan Kilic, Wenwu Wang
2022	J	`jnl`	Automated Audio Captioning: an Overview of Recent Progress and New Challenges. CoRR Xinhao Mei, Xubo Liu, Mark D. Plumbley, Wenwu Wang
2022	J	`jnl`	Automated audio captioning: an overview of recent progress and new challenges. EURASIP J. Audio Speech Music. Process. Xinhao Mei, Xubo Liu, Mark D. Plumbley, Wenwu Wang
2022	J	`jnl`	Continual Learning For On-Device Environmental Sound Classification. CoRR Yang Xiao, Xubo Liu, James A. King, Arshdeep Singh, Eng Siong Chng, Mark D. Plumbley, Wenwu Wang
2022	—	`conf`	Continual Learning for On-Ddevice Environmental Sound Classification. DCASE Yang Xiao, Xubo Liu, James A. King, Arshdeep Singh, Eng Siong Chng, Mark D. Plumbley, Wenwu Wang
2022	—	`conf`	Deep Neural Decision Forest for Acoustic Scene Classification. EUSIPCO Jianyuan Sun, Xubo Liu, Xinhao Mei, Jinzheng Zhao, Mark D. Plumbley, Volkan Kiliç, Wenwu Wang
2022	J	`jnl`	Deep Neural Decision Forest for Acoustic Scene Classification. CoRR Jianyuan Sun, Xubo Liu, Xinhao Mei, Jinzheng Zhao, Mark D. Plumbley, Volkan Kiliç, Wenwu Wang
2022	Misc	`conf`	Diverse Audio Captioning Via Adversarial Training. ICASSP Xinhao Mei, Xubo Liu, Jianyuan Sun, Mark D. Plumbley, Wenwu Wang
2022	J	`jnl`	Efficient Similarity-based Passive Filter Pruning for Compressing CNNs. CoRR Arshdeep Singh, Mark D. Plumbley
2022	—	`conf`	Fish Feeding Intensity Assessment in Aquaculture: A New Audio Dataset AFFIA3K and a Deep Learning Algorithm. MLSP Meng Cui, Xubo Liu, Jinzheng Zhao, Jianyuan Sun, Guoping Lian, Tao Chen, Mark D. Plumbley, Daoliang Li, Wenwu Wang
2022	J	`jnl`	Learning the Spectrogram Temporal Resolution for Audio Classification. CoRR Haohe Liu, Xubo Liu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley
2022	—	`conf`	Leveraging Pre-trained BERT for Audio Captioning. EUSIPCO Xubo Liu, Xinhao Mei, Qiushi Huang, Jianyuan Sun, Jinzheng Zhao, Haohe Liu, Mark D. Plumbley, Volkan Kilic, Wenwu Wang
2022	J	`jnl`	Leveraging Pre-trained BERT for Audio Captioning. CoRR Xubo Liu, Xinhao Mei, Qiushi Huang, Jianyuan Sun, Jinzheng Zhao, Haohe Liu, Mark D. Plumbley, Volkan Kiliç, Wenwu Wang
2022	—	`conf`	Low-Complexity CNNs for Acoustic Scene Classification. DCASE Arshdeep Singh, Mark D. Plumbley
2022	J	`jnl`	Low-complexity CNNs for Acoustic Scene Classification. CoRR Arshdeep Singh, Mark D. Plumbley
2022	J	`jnl`	Low-complexity CNNs for Acoustic Scene Classification. CoRR Arshdeep Singh, James A. King, Xubo Liu, Wenwu Wang, Mark D. Plumbley
2022	A	`conf`	On Metric Learning for Audio-Text Cross-Modal Retrieval. INTERSPEECH Xinhao Mei, Xubo Liu, Jianyuan Sun, Mark D. Plumbley, Wenwu Wang
2022	J	`jnl`	On Metric Learning for Audio-Text Cross-Modal Retrieval. CoRR Xinhao Mei, Xubo Liu, Jianyuan Sun, Mark D. Plumbley, Wenwu Wang
2022	J	`jnl`	Ontology-aware Learning and Evaluation for Audio Tagging. CoRR Haohe Liu, Qiuqiang Kong, Xubo Liu, Xinhao Mei, Wenwu Wang, Mark D. Plumbley
2022	—	`conf`	Segment-Level Metric Learning for Few-Shot Bioacoustic Event Detection. DCASE Haohe Liu, Xubo Liu, Xinhao Mei, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley
2022	J	`jnl`	Segment-level Metric Learning for Few-shot Bioacoustic Event Detection. CoRR Haohe Liu, Xubo Liu, Xinhao Mei, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley
2022	A	`conf`	Separate What You Describe: Language-Queried Audio Source Separation. INTERSPEECH Xubo Liu, Haohe Liu, Qiuqiang Kong, Xinhao Mei, Jinzheng Zhao, Qiushi Huang, Mark D. Plumbley, Wenwu Wang
2022	J	`jnl`	Separate What You Describe: Language-Queried Audio Source Separation. CoRR Xubo Liu, Haohe Liu, Qiuqiang Kong, Xinhao Mei, Jinzheng Zhao, Qiushi Huang, Mark D. Plumbley, Wenwu Wang
2022	J	`jnl`	Simple Pooling Front-ends For Efficient Audio Classification. CoRR Xubo Liu, Haohe Liu, Qiuqiang Kong, Xinhao Mei, Mark D. Plumbley, Wenwu Wang
2022	—	`conf`	Sound Event Localization and Detection for Real Spatial Sound Scenes: Event-Independent Network and Data Augmentation Chains. DCASE Jinbo Hu, Yin Cao, Ming Wu, Qiuqiang Kong, Feiran Yang, Mark D. Plumbley, Jun Yang
2022	J	`jnl`	Sound Event Localization and Detection for Real Spatial Sound Scenes: Event-Independent Network and Data Augmentation Chains. CoRR Jinbo Hu, Yin Cao, Ming Wu, Qiuqiang Kong, Feiran Yang, Mark D. Plumbley, Jun Yang
2022	J	`jnl`	Surrey System for DCASE 2022 Task 5: Few-shot Bioacoustic Event Detection with Segment-level Metric Learning. CoRR Haohe Liu, Xubo Liu, Xinhao Mei, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley
2022	J	`jnl`	Towards Generating Diverse Audio Captions via Adversarial Training. CoRR Xinhao Mei, Xubo Liu, Jianyuan Sun, Mark D. Plumbley, Wenwu Wang
2022	J	`jnl`	Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention. CoRR Xubo Liu, Qiushi Huang, Xinhao Mei, Haohe Liu, Qiuqiang Kong, Jianyuan Sun, Shengchen Li, Tom Ko, Yu Zhang, H. Lilian Tang, Mark D. Plumbley, Volkan Kiliç, Wenwu Wang
2021	—	`conf`	ARCA23K: An Audio Dataset for Investigating Open-Set Label Noise. DCASE Turab Iqbal, Yin Cao, Andrew Bailey, Mark D. Plumbley, Wenwu Wang
2021	J	`jnl`	ARCA23K: An audio dataset for investigating open-set label noise. CoRR Turab Iqbal, Yin Cao, Andrew Bailey, Mark D. Plumbley, Wenwu Wang
2021	—	`conf`	An Audio-Based Deep Learning Framework For BBC Television Programme Classification. EUSIPCO Lam Pham, Chris Baume, Qiuqiang Kong, Tassadaq Hussain, Wenwu Wang, Mark D. Plumbley
2021	J	`jnl`	An Audio-Based Deep Learning Framework ForBBC Television Programme Classification. CoRR Lam Pham, Chris Baume, Qiuqiang Kong, Tassadaq Hussain, Wenwu Wang, Mark D. Plumbley
2021	J	`jnl`	An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement Learning. CoRR Xinhao Mei, Qiushi Huang, Xubo Liu, Gengyun Chen, Jingqian Wu, Yusong Wu, Jinzheng Zhao, Shengchen Li, Tom Ko, H. Lilian Tang, Xi Shao, Mark D. Plumbley, Wenwu Wang
2021	—	`conf`	An Encoder-Decoder Based Audio Captioning System with Transfer and Reinforcement Learning. DCASE Xinhao Mei, Qiushi Huang, Xubo Liu, Gengyun Chen, Jingqian Wu, Yusong Wu, Jinzheng Zhao, Shengchen Li, Tom Ko, H. Lilian Tang, Xi Shao, Mark D. Plumbley, Wenwu Wang
2021	Misc	`conf`	An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection. ICASSP Yin Cao, Turab Iqbal, Qiuqiang Kong, Fengyan An, Wenwu Wang, Mark D. Plumbley
2021	—	`conf`	Audio Captioning Transformer. DCASE Xinhao Mei, Xubo Liu, Qiushi Huang, Mark D. Plumbley, Wenwu Wang
2021	J	`jnl`	Audio Captioning Transformer. CoRR Xinhao Mei, Xubo Liu, Qiushi Huang, Mark D. Plumbley, Wenwu Wang
2021	J	`jnl`	CAA-Net: Conditional Atrous CNNs With Attention for Explainable Device-Robust Acoustic Scene Classification. IEEE Trans. Multim. Zhao Ren, Qiuqiang Kong, Jing Han, Mark D. Plumbley, Björn W. Schuller
2021	—	`conf`	CL4AC: A Contrastive Loss for Audio Captioning. DCASE Xubo Liu, Qiushi Huang, Xinhao Mei, Tom Ko, H. Lilian Tang, Mark D. Plumbley, Wenwu Wang
2021	J	`jnl`	CL4AC: A Contrastive Loss for Audio Captioning. CoRR Xubo Liu, Qiushi Huang, Xinhao Mei, Tom Ko, H. Lilian Tang, Mark D. Plumbley, Wenwu Wang
2021	—	`conf`	Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning. MLSP Xubo Liu, Turab Iqbal, Jinzheng Zhao, Qiushi Huang, Mark D. Plumbley, Wenwu Wang
2021	J	`jnl`	Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning. CoRR Xubo Liu, Turab Iqbal, Jinzheng Zhao, Qiushi Huang, Mark D. Plumbley, Wenwu Wang
2021	J	`jnl`	Deep Learning-Based Energy Disaggregation and On/Off Detection of Household Appliances. ACM Trans. Knowl. Discov. Data Jie Jiang, Qiuqiang Kong, Mark D. Plumbley, Nigel Gilbert, Mark Hoogendoorn, Diederik M. Roijers
2021	J	`jnl`	Diverse Audio Captioning via Adversarial Training. CoRR Xinhao Mei, Xubo Liu, Jianyuan Sun, Mark D. Plumbley, Wenwu Wang
2021	J	`jnl`	Federated Learning With Highly Imbalanced Audio Data. CoRR Marc C. Green, Mark D. Plumbley
2021	—	`conf`	Gender Bias in Depression Detection Using Audio Features. EUSIPCO Andrew Bailey, Mark D. Plumbley
2021	J	`jnl`	Sound Event Detection: A tutorial. IEEE Signal Process. Mag. Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, Mark D. Plumbley
2021	—	`conf`	Source Separation of the Second Heart Sound via Alternating Optimization. CinC Francesco Renna, Mark D. Plumbley, Miguel T. Coimbra
2021	J	`jnl`	Sparse Analysis Model Based Dictionary Learning for Signal Declipping. IEEE J. Sel. Top. Signal Process. Bin Li, Lucas Rencker, Jing Dong, Yuhui Luo, Mark D. Plumbley, Wenwu Wang
2021	J	`jnl`	Sub-Nyquist spectrum sensing and learning challenge. Frontiers Comput. Sci. Yue Gao, Zihang Song, Han Zhang, Sean Fuller, Andrew Lambert, Zhinong Ying, Petri Mähönen, Yonina C. Eldar, Shuguang Cui, Mark D. Plumbley, Clive Parini, Arumugam Nallanathan
2021	—	`conf`	Using UMAP to Inspect Audio Data for Unsupervised Anomaly Detection Under Domain-Shift Conditions. DCASE Andres Fernandez, Mark D. Plumbley
2021	J	`jnl`	Using UMAP to Inspect Audio Data for Unsupervised Anomaly Detection under Domain-Shift Conditions. CoRR Andres Fernandez, Mark D. Plumbley
2021	Misc	`conf`	Weighted Magnitude-Phase Loss for Speech Dereverberation. ICASSP Jingshu Zhang, Mark D. Plumbley, Wenwu Wang
2020	J	`jnl`	An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection. CoRR Yin Cao, Turab Iqbal, Qiuqiang Kong, Fengyan An, Wenwu Wang, Mark D. Plumbley
2020	—	`conf`	Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound Classification. EMBC Tomoya Koike, Kun Qian, Qiuqiang Kong, Mark D. Plumbley, Björn W. Schuller, Yoshiharu Yamamoto
2020	J	`jnl`	CAA-Net: Conditional Atrous CNNs with Attention for Explainable Device-robust Acoustic Scene Classification. CoRR Zhao Ren, Qiuqiang Kong, Jing Han, Mark D. Plumbley, Björn W. Schuller
2020	—	`conf`	Event-Independent Network for Polyphonic Sound Event Localization and Detection. DCASE Yin Cao, Turab Iqbal, Qiuqiang Kong, Yue Zhong, Wenwu Wang, Mark D. Plumbley
2020	J	`jnl`	Event-Independent Network for Polyphonic Sound Event Localization and Detection. CoRR Yin Cao, Turab Iqbal, Qiuqiang Kong, Yue Zhong, Wenwu Wang, Mark D. Plumbley
2020	Misc	`conf`	Learning With Out-of-Distribution Data for Audio Classification. ICASSP Turab Iqbal, Yin Cao, Qiuqiang Kong, Mark D. Plumbley, Wenwu Wang
2020	J	`jnl`	Learning with Out-of-Distribution Data for Audio Classification. CoRR Turab Iqbal, Yin Cao, Qiuqiang Kong, Mark D. Plumbley, Wenwu Wang
2020	—	`conf`	Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice Separation. EUSIPCO Emad M. Grais, Fei Zhao, Mark D. Plumbley
2020	—	`conf`	Open-Window: A Sound Event Dataset for Window State Detection and Recognition. DCASE Saeid Safavi, Turab Iqbal, Wenwu Wang, Philip Coleman, Mark D. Plumbley
2020	J	`jnl`	PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition. IEEE ACM Trans. Audio Speech Lang. Process. Qiuqiang Kong, Yin Cao, Turab Iqbal, Yuxuan Wang, Wenwu Wang, Mark D. Plumbley
2020	J	`jnl`	Raw Audio for Depression Detection Can Be More Robust Against Gender Imbalance than Mel-Spectrogram Features. CoRR Andrew Bailey, Mark D. Plumbley
2020	J	`jnl`	Sound Event Detection of Weakly Labelled Data With CNN-Transformer and Automatic Threshold Optimization. IEEE ACM Trans. Audio Speech Lang. Process. Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley
2020	Misc	`conf`	Source Separation with Weakly Labelled Data: an Approach to Computational Auditory Scene Analysis. ICASSP Qiuqiang Kong, Yuxuan Wang, Xuchen Song, Yin Cao, Wenwu Wang, Mark D. Plumbley
2020	J	`jnl`	Source separation with weakly labelled data: An approach to computational auditory scene analysis. CoRR Qiuqiang Kong, Yuxuan Wang, Xuchen Song, Yin Cao, Wenwu Wang, Mark D. Plumbley
2019	Misc	`conf`	Acoustic Event Detection from Weakly Labeled Data Using Auditory Salience. ICASSP Zuzanna Podwinska, Iwona Sobieraj, Bruno M. Fazenda, William J. Davies, Mark D. Plumbley
2019	Misc	`conf`	Acoustic Scene Generation with Conditional Samplernn. ICASSP Qiuqiang Kong, Yong Xu, Turab Iqbal, Yin Cao, Wenwu Wang, Mark D. Plumbley
2019	Misc	`conf`	Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives of Acoustic Scenes. ICASSP Zhao Ren, Qiuqiang Kong, Jing Han, Mark D. Plumbley, Björn W. Schuller
2019	J	`jnl`	Cross-task learning for audio tagging, sound event detection and spatial localization: DCASE 2019 baseline systems. CoRR Qiuqiang Kong, Yin Cao, Turab Iqbal, Yong Xu, Wenwu Wang, Mark D. Plumbley
2019	J	`jnl`	Deep Learning Based Energy Disaggregation and On/Off Detection of Household Appliances. CoRR Jie Jiang, Qiuqiang Kong, Mark D. Plumbley, Nigel Gilbert
2019	Misc	`conf`	Generalisation in Environmental Sound Classification: The 'Making Sense of Sounds' Data Set and Challenge. ICASSP Christian Kroos, Oliver Bones, Yin Cao, Lara Harris, Philip J. B. Jackson, William J. Davies, Wenwu Wang, Trevor J. Cox, Mark D. Plumbley
2019	J	`jnl`	Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice Separation. CoRR Emad M. Grais, Fei Zhao, Mark D. Plumbley
2019	—	`conf`	Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data. PDH Zhao Ren, Jing Han, Nicholas Cummins, Qiuqiang Kong, Mark D. Plumbley, Björn W. Schuller
2019	J	`jnl`	Musical Source Separation: An Introduction. IEEE Signal Process. Mag. Estefanía Cano, Derry FitzGerald, Antoine Liutkus, Mark D. Plumbley, Fabian-Robert Stöter
2019	J	`jnl`	PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition. CoRR Qiuqiang Kong, Yin Cao, Turab Iqbal, Yuxuan Wang, Wenwu Wang, Mark D. Plumbley
2019	—	`conf`	Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy. DCASE Yin Cao, Qiuqiang Kong, Turab Iqbal, Fengyan An, Wenwu Wang, Mark D. Plumbley
2019	J	`jnl`	Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy. CoRR Yin Cao, Qiuqiang Kong, Turab Iqbal, Fengyan An, Wenwu Wang, Mark D. Plumbley
2019	—	`conf`	Referenceless Performance Evaluation of Audio Source Separation using Deep Neural Networks. EUSIPCO Emad M. Grais, Hagen Wierstorf, Dominic Ward, Russell Mason, Mark D. Plumbley
2019	A*	`conf`	Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks. IJCAI Qiuqiang Kong, Yong Xu, Philip J. B. Jackson, Wenwu Wang, Mark D. Plumbley
2019	J	`jnl`	Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks. CoRR Qiuqiang Kong, Yong Xu, Wenwu Wang, Philip J. B. Jackson, Mark D. Plumbley
2019	J	`jnl`	Sound Event Detection and Time-Frequency Segmentation from Weakly Labelled Data. IEEE ACM Trans. Audio Speech Lang. Process. Qiuqiang Kong, Yong Xu, Iwona Sobieraj, Wenwu Wang, Mark D. Plumbley
2019	J	`jnl`	Sound Event Detection of Weakly Labelled Data with CNN-Transformer and Automatic Threshold Optimization. CoRR Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley
2019	Misc	`conf`	Sound Event Detection with Sequentially Labelled Data Based on Connectionist Temporal Classification and Unsupervised Clustering. ICASSP Yuanbo Hou, Qiuqiang Kong, Shengchen Li, Mark D. Plumbley
2019	J	`jnl`	Sound Event Detection with Sequentially Labelled Data Based on Connectionist Temporal Classification and Unsupervised Clustering. CoRR Yuanbo Hou, Qiuqiang Kong, Shengchen Li, Mark D. Plumbley
2019	—	`conf`	Sound Event Localization and Detection Using CRNN on Pairs of Microphones. DCASE François Grondin, Iwona Sobieraj, Mark D. Plumbley, James R. Glass
2019	J	`jnl`	Sound Event Localization and Detection Using CRNN on Pairs of Microphones. CoRR François Grondin, James R. Glass, Iwona Sobieraj, Mark D. Plumbley
2019	J	`jnl`	Sparse Recovery and Dictionary Learning From Nonlinear Compressive Measurements. IEEE Trans. Signal Process. Lucas Rencker, Francis R. Bach, Wenwu Wang, Mark D. Plumbley
2019	J	`jnl`	Weakly Labelled AudioSet Tagging With Attention Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. Qiuqiang Kong, Changsong Yu, Yong Xu, Turab Iqbal, Wenwu Wang, Mark D. Plumbley
2019	J	`jnl`	Weakly labelled AudioSet Classification with Attention Neural Networks. CoRR Qiuqiang Kong, Changsong Yu, Turab Iqbal, Yong Xu, Wenwu Wang, Mark D. Plumbley
2018	J	`jnl`	A Contextual Study of Semantic Speech Editing in Radio Production. Int. J. Hum. Comput. Stud. Chris Baume, Mark D. Plumbley, Janko Calic, David M. Frohlich
2018	—	`conf`	A Hierarchical Latent Mixture Model for Polyphonic Music Analysis. EUSIPCO Cian O'Brien, Mark D. Plumbley
2018	Misc	`conf`	A Joint Separation-Classification Model for Sound Event Detection of Weakly Labelled Data. ICASSP Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley
2018	—	`conf`	Attention-based convolutional neural networks for acoustic scene classification. DCASE Zhao Ren, Qiuqiang Kong, Kun Qian, Mark D. Plumbley, Björn W. Schuller
2018	Misc	`conf`	Audio Set Classification with Attention Model: A Probabilistic Perspective. ICASSP Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley
2018	Misc	`conf`	BSS Eval or Peass? Predicting the Perception of Singing-Voice Separation. ICASSP Dominic Ward, Hagen Wierstorf, Russell D. Mason, Emad M. Grais, Mark D. Plumbley
2018	—	`conf`	Consistent Dictionary Learning for Signal Declipping. LVA/ICA Lucas Rencker, Francis R. Bach, Wenwu Wang, Mark D. Plumbley
2018	—	`conf`	DCASE 2018 Challenge Surrey cross-task convolutional neural network baseline. DCASE Qiuqiang Kong, Turab Iqbal, Yong Xu, Wenwu Wang, Mark D. Plumbley
2018	J	`jnl`	DCASE 2018 Challenge baseline with convolutional neural networks. CoRR Qiuqiang Kong, Turab Iqbal, Yong Xu, Wenwu Wang, Mark D. Plumbley
2018	J	`jnl`	Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge. IEEE ACM Trans. Audio Speech Lang. Process. Annamaria Mesaros, Toni Heittola, Emmanouil Benetos, Peter Foster, Mathieu Lagrange, Tuomas Virtanen, Mark D. Plumbley
2018	—	`conf`	General-purpose audio tagging from noisy labels using convolutional neural networks. DCASE Turab Iqbal, Qiuqiang Kong, Mark D. Plumbley, Wenwu Wang
2018	—	`conf`	Improving Reverberant Speech Separation with Binaural Cues Using Temporal Context and Convolutional Neural Networks. LVA/ICA Alfredo Zermini, Qiuqiang Kong, Yong Xu, Mark D. Plumbley, Wenwu Wang
2018	Misc	`conf`	Inexact Proximal Operators for 𝓁 ICASSP Cian O'Brien, Mark D. Plumbley
2018	Misc	`conf`	Large-Scale Weakly Supervised Audio Classification Using Gated Convolutional Neural Network. ICASSP Yong Xu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley
2018	—	`ed.`	Latent Variable Analysis and Signal Separation - 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018, Proceedings LVA/ICA Yannick Deville, Sharon Gannot, Russell Mason, Mark D. Plumbley, Dominic Ward
2018	J	`jnl`	Malicious User Detection Based on Low-Rank Matrix Completion in Wideband Spectrum Sensing. IEEE Trans. Signal Process. Zhijin Qin, Yue Gao, Mark D. Plumbley
2018	—	`conf`	Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation. LVA/ICA Emad M. Grais, Hagen Wierstorf, Dominic Ward, Mark D. Plumbley
2018	Misc	`conf`	Orthogonality-Regularized Masked NMF for Learning on Weakly Labeled Audio Data. ICASSP Iwona Sobieraj, Lucas Rencker, Mark D. Plumbley
2018	Misc	`conf`	Predicting the perceived level of reverberation using machine learning. ACSSC Saeid Safavi, Andy Pearce, Wenwu Wang, Mark D. Plumbley
2018	—	`ed.`	Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2018, Surrey, UK, November 19-20, 2018 DCASE Mark D. Plumbley, Christian Kroos, Juan Pablo Bello, Gaël Richard, Daniel P. W. Ellis, Annamaria Mesaros
2018	—	`conf`	Raw Multi-Channel Audio Source Separation using Multi- Resolution Convolutional Auto-Encoders. EUSIPCO Emad M. Grais, Dominic Ward, Mark D. Plumbley
2018	J	`jnl`	Raw Multi-Channel Audio Source Separation using Multi-Resolution Convolutional Auto-Encoders. CoRR Emad M. Grais, Dominic Ward, Mark D. Plumbley
2018	J	`jnl`	Referenceless Performance Evaluation of Audio Source Separation using Deep Neural Networks. CoRR Emad M. Grais, Hagen Wierstorf, Dominic Ward, Russell Mason, Mark D. Plumbley
2018	J	`jnl`	Sound Event Detection and Time-Frequency Segmentation from Weakly Labelled Data. CoRR Qiuqiang Kong, Yong Xu, Iwona Sobieraj, Wenwu Wang, Mark D. Plumbley
2018	—	`conf`	Supporting Audiography: Design of a System for Sentimental Sound Recording, Classification and Playback. HCI (28) Tijs Duel, David M. Frohlich, Christian Kroos, Yong Xu, Philip J. B. Jackson, Mark D. Plumbley
2018	Misc	`conf`	Synthesis of Images by Two-Stage Generative Adversarial Networks. ICASSP Qiang Huang, Philip J. B. Jackson, Mark D. Plumbley, Wenwu Wang
2017	Misc	`conf`	A greedy algorithm with learned statistics for sparse signal reconstruction. ICASSP Lucas Rencker, Wenwu Wang, Mark D. Plumbley
2017	Misc	`conf`	A joint detection-classification model for audio tagging of weakly labelled data. ICASSP Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley
2017	J	`jnl`	A joint separation-classification model for sound event detection of weakly labelled data. CoRR Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley
2017	Misc	`conf`	Assessment of musical noise using localization of isolated peaks in time-frequency domain. ICASSP Ronan Hamon, Valentin Emiya, Lucas Rencker, Wenwu Wang, Mark D. Plumbley
2017	A	`conf`	Attention and Localization Based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging. INTERSPEECH Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley
2017	J	`jnl`	Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging. CoRR Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley
2017	J	`jnl`	Audio Set classification with attention model: A probabilistic perspective. CoRR Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley
2017	—	`conf`	Automatic music transcription using low rank non-negative matrix decomposition. EUSIPCO Cian O'Brien, Mark D. Plumbley
2017	C	`conf`	Binaural and log-power spectra features with deep neural networks for speech-noise separation. MMSP Alfredo Zermini, Qingju Liu, Yong Xu, Mark D. Plumbley, Dave Betts, Wenwu Wang
2017	—	`conf`	Clustering Expressive Timing with Regressed Polynomial Coefficients Demonstrated by a Model Selection Test. ISMIR Shengchen Li, Simon Dixon, Mark D. Plumbley
2017	J	`jnl`	Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging. CoRR Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley
2017	B	`conf`	Convolutional gated recurrent neural network incorporating spatial features for audio tagging. IJCNN Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley
2017	—	`conf`	Discriminative Enhancement for Single Channel Audio Source Separation Using Deep Neural Networks. LVA/ICA Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark D. Plumbley
2017	Misc	`conf`	Fast tagging of natural sounds using marginal co-regularization. ICASSP Qiang Huang, Yong Xu, Philip J. B. Jackson, Wenwu Wang, Mark D. Plumbley
2017	—	`conf`	Joint detection and classification convolutional neural network on weakly labelled bird audio detection. EUSIPCO Qiuqiang Kong, Yong Xu, Mark D. Plumbley
2017	J	`jnl`	Large-scale weakly supervised audio classification using gated convolutional neural network. CoRR Yong Xu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley
2017	A	`conf`	Learning the Mapping Function from Voltage Amplitudes to Sensor Positions in 3D-EMA Using Deep Neural Networks. INTERSPEECH Christian Kroos, Mark D. Plumbley
2017	—	`conf`	Masked non-negative matrix factorization for eire detection using weakly labeled data. EUSIPCO Iwona Sobieraj, Qiuqiang Kong, Mark D. Plumbley
2017	J	`jnl`	Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation. CoRR Emad M. Grais, Hagen Wierstorf, Dominic Ward, Mark D. Plumbley
2017	—	`conf`	Multivariate iterative hard thresholding for sparse decomposition with flexible sparsity patterns. EUSIPCO Lucas Rencker, Wenwu Wang, Mark D. Plumbley
2017	—	`conf`	Neuroevolution for Sound Event Detection in Real Life Audio: A Pilot Study. DCASE Christian Kroos, Mark D. Plumbley
2017	J	`jnl`	Polyphonic Sound Event Tracking Using Linear Dynamical Systems. IEEE ACM Trans. Audio Speech Lang. Process. Emmanouil Benetos, Grégoire Lafay, Mathieu Lagrange, Mark D. Plumbley
2017	—	`conf`	Psychophysical Evaluation of Audio Source Separation Methods. LVA/ICA Andrew J. R. Simpson, Gerard Roma, Emad M. Grais, Russell D. Mason, Christopher Hummersone, Mark D. Plumbley
2017	J	`jnl`	Single Channel Audio Source Separation using Convolutional Denoising Autoencoders. CoRR Emad M. Grais, Mark D. Plumbley
2017	—	`conf`	Single channel audio source separation using convolutional denoising autoencoders. GlobalSIP Emad M. Grais, Mark D. Plumbley
2017	J	`jnl`	Surrey-cvssp system for DCASE2017 challenge task4. CoRR Yong Xu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley
2017	J	`jnl`	Two-Stage Single-Channel Audio Source Separation Using Deep Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark D. Plumbley
2017	J	`jnl`	Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging. IEEE ACM Trans. Audio Speech Lang. Process. Yong Xu, Qiang Huang, Wenwu Wang, Peter Foster, Siddharth Sigtia, Philip J. B. Jackson, Mark D. Plumbley
2017	—	`conf`	Using deep neural networks to estimate tongue movements from speech face motion. AVSP Christian Kroos, Rikke L. Bundgaard-Nielsen, Catherine T. Best, Mark D. Plumbley
2016	J	`jnl`	A Joint Detection-Classification Model for Audio Tagging of Weakly Labelled Data. CoRR Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley
2016	J	`jnl`	Analysis SimCO Algorithms for Sparse Analysis Model Based Dictionary Learning. IEEE Trans. Signal Process. Jing Dong, Wenwu Wang, Wei Dai, Mark D. Plumbley, Zi-Fa Han, Jonathon A. Chambers
2016	J	`jnl`	Automatic Environmental Sound Recognition: Performance Versus Computational Cost. IEEE ACM Trans. Audio Speech Lang. Process. Siddharth Sigtia, Adam M. Stark, Sacha Krstulovic, Mark D. Plumbley
2016	J	`jnl`	Automatic Environmental Sound Recognition: Performance versus Computational Cost. CoRR Siddharth Sigtia, Adam M. Stark, Sacha Krstulovic, Mark D. Plumbley
2016	A	`conf`	Combining Mask Estimates for Single Channel Audio Source Separation Using Deep Neural Networks. INTERSPEECH Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark D. Plumbley
2016	—	`conf`	Coupled Sparse NMF vs. Random Forest Classification for Real Life Acoustic Event Detection. DCASE Iwona Sobieraj, Mark D. Plumbley
2016	—	`conf`	Deep Neural Network Baseline for DCASE Challenge 2016. DCASE Qiuqiang Kong, Iwona Sobieraj, Wenwu Wang, Mark D. Plumbley
2016	Misc	`conf`	Detection of overlapping acoustic events using a temporally-constrained probabilistic model. ICASSP Emmanouil Benetos, Grégoire Lafay, Mathieu Lagrange, Mark D. Plumbley
2016	J	`jnl`	Discriminative Enhancement for Single Channel Audio Source Separation using Deep Neural Networks. CoRR Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark D. Plumbley
2016	—	`conf`	Evaluation of audio source separation models using hypothesis-driven non-parametric statistical methods. EUSIPCO Andrew J. R. Simpson, Gerard Roma, Emad M. Grais, Russell D. Mason, Chris Hummersone, Antoine Liutkus, Mark D. Plumbley
2016	—	`conf`	Fully DNN-Based Multi-Label Regression for Audio Tagging. DCASE Yong Xu, Qiang Huang, Wenwu Wang, Philip J. B. Jackson, Mark D. Plumbley
2016	J	`jnl`	Fully DNN-based Multi-label regression for audio tagging. CoRR Yong Xu, Qiang Huang, Wenwu Wang, Philip J. B. Jackson, Mark D. Plumbley
2016	J	`jnl`	Fully Deep Neural Networks Incorporating Unsupervised Feature Learning for Audio Tagging. CoRR Yong Xu, Qiang Huang, Wenwu Wang, Peter Foster, Siddharth Sigtia, Philip J. B. Jackson, Mark D. Plumbley
2016	J	`jnl`	Hierachical learning for DNN-based acoustic scene classification. CoRR Yong Xu, Qiang Huang, Wenwu Wang, Mark D. Plumbley
2016	—	`conf`	Hierarchical Learning for DNN-Based Acoustic Scene Classification. DCASE Yong Xu, Qiang Huang, Wenwu Wang, Mark D. Plumbley
2016	J	`jnl`	Non-Negative Group Sparsity with Subspace Note Modelling for Polyphonic Transcription. IEEE ACM Trans. Audio Speech Lang. Process. Ken O'Hanlon, Hidehisa Nagano, Nicolas Keriven, Mark D. Plumbley
2016	—	`ed.`	Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2016, Budapest, Hungary, September 3, 2016 DCASE Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, Mark D. Plumbley, Peter Foster, Emmanouil Benetos, Mathieu Lagrange
2016	J	`jnl`	Wideband Spectrum Sensing on Real-Time Signals at Sub-Nyquist Sampling Rates in Single and Cooperative Multiple Nodes. IEEE Trans. Signal Process. Zhijin Qin, Yue Gao, Mark D. Plumbley, Clive G. Parini
2015	Misc	`conf`	A dynamic programming variant of non-negative matrix deconvolution for the transcription of struck string instruments. ICASSP Sebastian Ewert, Mark D. Plumbley, Mark B. Sandler
2015	J	`jnl`	Acoustic Scene Classification: Classifying environments from the sounds they produce. IEEE Signal Process. Mag. Daniele Barchiesi, Dimitrios Giannoulis, Dan Stowell, Mark D. Plumbley
2015	—	`conf`	Chime-home: A dataset for sound source recognition in a domestic environment. WASPAA Peter Foster, Siddharth Sigtia, Sacha Krstulovic, Jon Barker, Mark D. Plumbley
2015	—	`conf`	Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network. LVA/ICA Andrew J. R. Simpson, Gerard Roma, Mark D. Plumbley
2015	J	`jnl`	Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network. CoRR Andrew J. R. Simpson, Gerard Roma, Mark D. Plumbley
2015	J	`jnl`	Deep Remix: Remixing Musical Mixtures Using a Convolutional Deep Neural Network. CoRR Andrew J. R. Simpson, Gerard Roma, Mark D. Plumbley
2015	J	`jnl`	Detection and Classification of Acoustic Scenes and Events. IEEE Trans. Multim. Dan Stowell, Dimitrios Giannoulis, Emmanouil Benetos, Mathieu Lagrange, Mark D. Plumbley
2015	—	`conf`	Keynote addresses: Reverse engineering the neural mechanisms involved in robust speech processing. WASPAA Nima Mesgarani, Mark D. Plumbley
2015	J	`jnl`	Learning Incoherent Subspaces: Classification via Incoherent Dictionary Learning. J. Signal Process. Syst. Daniele Barchiesi, Mark D. Plumbley
2015	Misc	`conf`	Non-negative matrix factorisation incorporating greedy hellinger sparse coding applied to polyphonic music transcription. ICASSP Ken O'Hanlon, Mark B. Sandler, Mark D. Plumbley
2015	—	`conf`	The Clustering of Expressive Timing Within a Phrase in Classical Piano Performances by Gaussian Mixture Models. CMMR Shengchen Li, Dawn A. A. Black, Mark D. Plumbley
2014	Misc	`conf`	Accounting for phase cancellations in non-negative matrix factorization using weighted distances. ICASSP Sebastian Ewert, Mark D. Plumbley, Mark B. Sandler
2014	J	`jnl`	Acoustic Scene Classification. CoRR Daniele Barchiesi, Dimitrios Giannoulis, Dan Stowell, Mark D. Plumbley
2014	—	`conf`	An Open Dataset for Research on Audio Field Recording Archives: freefield1010. Semantic Audio Dan Stowell, Mark D. Plumbley
2014	—	`conf`	Audio-only Bird Classification Using Unsupervised Feature Learning. CLEF (Working Notes) Dan Stowell, Mark D. Plumbley
2014	J	`jnl`	Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning. CoRR Dan Stowell, Mark D. Plumbley
2014	—	`conf`	Big Data for Musicology. DLfM@JCDL Tillman Weyde, Stephen Cottrell, Jason Dykes, Emmanouil Benetos, Daniel Wolff, Dan Tidhar, Alexander Kachkaev, Mark D. Plumbley, Simon Dixon, Mathieu Barthet, Nicolas Gold, Samer A. Abdallah, Aquiles Alancar-Brayner, Mahendra Mahey, Adam Tovell
2014	—	`conf`	Efficient compressive spectrum sensing algorithm for M2M devices. GlobalSIP Zhijin Qin, Yue Gao, Mark D. Plumbley, Clive G. Parini, Laurie G. Cuthbert
2014	—	`conf`	Harmonic Motion: A Toolkit for Processing Gestural Data for Interactive Sound. NIME Tim Murray Browne, Mark D. Plumbley
2014	Misc	`conf`	Improving instrument recognition in polyphonic music through system integration. ICASSP Dimitrios Giannoulis, Emmanouil Benetos, Anssi Klapuri, Mark D. Plumbley
2014	J	`jnl`	Multichannel High-Resolution NMF for Modeling Convolutive Mixtures of Non-Stationary Signals in the Time-Frequency Domain. IEEE ACM Trans. Audio Speech Lang. Process. Roland Badeau, Mark D. Plumbley
2014	A	`conf`	Phase-based harmonic/percussive separation. INTERSPEECH Estefanía Cano, Mark D. Plumbley, Christian Dittmar
2014	Misc	`conf`	Polyphonic piano transcription using non-negative Matrix Factorisation with group sparsity. ICASSP Ken O'Hanlon, Mark D. Plumbley
2014	J	`jnl`	Score-Informed Source Separation for Musical Audio Recordings: An overview. IEEE Signal Process. Mag. Sebastian Ewert, Bryan Pardo, Meinard Müller, Mark D. Plumbley
2013	—	`conf`	A database and challenge for acoustic scene classification and event detection. EUSIPCO Dimitrios Giannoulis, Dan Stowell, Emmanouil Benetos, Mathias Rossignol, Mathieu Lagrange, Mark D. Plumbley
2013	J	`jnl`	An open dataset for research on audio field recording archives: freefield1010. CoRR Dan Stowell, Mark D. Plumbley
2013	Misc	`conf`	Automatic Music Transcription using row weighted decompositions. ICASSP Ken O'Hanlon, Mark D. Plumbley
2013	Misc	`conf`	Behavior of greedy sparse representation algorithms on nested supports. ICASSP Boris Mailhé, Bob L. T. Sturm, Mark D. Plumbley
2013	—	`conf`	Detection and classification of acoustic scenes and events: An IEEE AASP challenge. WASPAA Dimitrios Giannoulis, Emmanouil Benetos, Dan Stowell, Mathias Rossignol, Mathieu Lagrange, Mark D. Plumbley
2013	—	`conf`	Dictionary learning via projected maximal exploration. GlobalSIP Boris Mailhé, Mark D. Plumbley
2013	J	`jnl`	Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering CoRR Dan Stowell, Saso Musevic, Jordi Bonada, Mark D. Plumbley
2013	Misc	`conf`	Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering. ICASSP Dan Stowell, Saso Musevic, Jordi Bonada, Mark D. Plumbley
2013	J	`jnl`	Large-scale analysis of frequency modulation in birdsong databases. CoRR Dan Stowell, Mark D. Plumbley
2013	J	`jnl`	Learning Incoherent Dictionaries for Sparse Approximation Using Iterative Projections and Rotations. IEEE Trans. Signal Process. Daniele Barchiesi, Mark D. Plumbley
2013	—	`conf`	Learning incoherent subspaces for classification via supervised iterative projections and rotations. MLSP Daniele Barchiesi, Mark D. Plumbley
2013	—	`conf`	Learning overcomplete dictionaries with ℓ0-sparse Non-negative Matrix Factorisation. GlobalSIP Ken O'Hanlon, Mark D. Plumbley
2013	—	`conf`	Low-rank matrix completion based malicious user detection in cooperative spectrum sensing. GlobalSIP Zhijin Qin, Yue Gao, Mark D. Plumbley, Clive Parini, Laurie G. Cuthbert
2013	—	`conf`	Multichannel HR-NMF for modelling convolutive mixtures of non-stationary signals in the time-frequency domain. WASPAA Roland Badeau, Mark D. Plumbley
2013	J	`jnl`	On Theorem 10 in "On Polar Polytopes and the Recovery of Sparse Representations" [Sep 07 3188-3195]. IEEE Trans. Inf. Theory Bob L. T. Sturm, Boris Mailhé, Mark D. Plumbley
2013	—	`conf`	Predictive Information in Gaussian Processes with Application to Music Analysis. GSI Samer A. Abdallah, Mark D. Plumbley
2013	—	`conf`	Probabilistic time-frequency source-filter decomposition of non-stationary signals. EUSIPCO Roland Badeau, Mark D. Plumbley
2013	Misc	`conf`	Recognition of harmonic sounds in polyphonic audio using a missing feature approach. ICASSP Dimitrios Giannoulis, Anssi Klapuri, Mark D. Plumbley
2013	Misc	`conf`	Score informed audio source separation using constrained nonnegative matrix factorization and score synthesis. ICASSP Joachim Fritsch, Mark D. Plumbley
2013	J	`jnl`	Segregating event streams and noise with a Markov renewal process model. J. Mach. Learn. Res. Dan Stowell, Mark D. Plumbley
2013	—	`conf`	Structured sparsity using backwards elimination for Automatic Music Transcription. MLSP Nicolas Keriven, Ken O'Hanlon, Mark D. Plumbley
2013	J	`jnl`	Synchronizing Sequencing Software to a Live Drummer. Comput. Music. J. Andrew Robertson, Mark D. Plumbley
2012	—	`conf`	An alternating descent algorithm for the off-grid DOA estimation problem with sparsity constraints. EUSIPCO Aris Gretsistas, Mark D. Plumbley
2012	J	`jnl`	Analysis-based sparse reconstruction with synthesis-based solvers CoRR Nicolae Cleju, Maria G. Jafari, Mark D. Plumbley
2012	Misc	`conf`	Analysis-based sparse reconstruction with synthesis-based solvers. ICASSP Nicolae Cleju, Maria G. Jafari, Mark D. Plumbley
2012	J	`jnl`	Audio Inpainting. IEEE Trans. Speech Audio Process. Amir Adler, Valentin Emiya, Maria G. Jafari, Michael Elad, Rémi Gribonval, Mark D. Plumbley
2012	J	`jnl`	Best Practices for Scientific Computing CoRR Dhavide A. Aruliah, C. Titus Brown, Neil P. Chue Hong, Matt Davis, Richard T. Guy, Steven H. D. Haddock, Katy Huff, Ian Mitchell, Mark D. Plumbley, Ben Waugh, Ethan P. White, Greg Wilson, Paul Wilson
2012	—	`conf`	Choosing analysis or synthesis recovery for sparse reconstruction. EUSIPCO Nicolae Cleju, Maria G. Jafari, Mark D. Plumbley
2012	—	`conf`	Cognitive music modelling: An information dynamics approach. CIP Samer A. Abdallah, Henrik Ekeus, Peter Foster, Andrew Robertson, Mark D. Plumbley
2012	—	`conf`	Denoising and segmentation of the second heart sound using matching pursuit. EMBC Fábio de Lima Hedayioglu, Maria G. Jafari, Sandra da Silva Mattos, Mark D. Plumbley, Miguel T. Coimbra
2012	—	`conf`	Dictionary Learning with Large Step Gradient Descent for Sparse Representations. LVA/ICA Boris Mailhé, Mark D. Plumbley
2012	—	`conf`	Framewise heterodyne chirp analysis of birdsong. EUSIPCO Dan Stowell, Mark D. Plumbley
2012	—	`conf`	Group Polytope Faces Pursuit for Recovery of Block-Sparse Signals. LVA/ICA Aris Gretsistas, Mark D. Plumbley
2012	Misc	`conf`	INK-SVD: Learning incoherent dictionaries for sparse representations. ICASSP Boris Mailhé, Daniele Barchiesi, Mark D. Plumbley
2012	Misc	`conf`	Instrumentation-based music similarity using sparse representations. ICASSP Hiromasa Fujihara, Anssi Klapuri, Mark D. Plumbley
2012	J	`jnl`	Performance Following: Real-Time Prediction of Musical Sequences Without a Score. IEEE Trans. Speech Audio Process. Adam M. Stark, Mark D. Plumbley
2012	J	`jnl`	Reliability-Informed Beat Tracking of Musical Signals. IEEE Trans. Speech Audio Process. Norberto Degara, Enrique Argones-Rúa, Antonio S. Pena, Soledad Torres-Guijarro, Matthew E. P. Davies, Mark D. Plumbley
2012	J	`jnl`	Segregating event streams and noise with a Markov renewal process model CoRR Dan Stowell, Mark D. Plumbley
2012	Misc	`conf`	Sound Software: Towards software reuse in audio and music research. ICASSP Chris Cannam, Luís Figueira, Mark D. Plumbley
2012	Misc	`conf`	Structured sparsity for automatic music transcription. ICASSP Ken O'Hanlon, Hidehisa Nagano, Mark D. Plumbley
2012	—	`conf`	The Melody Triangle: Exploring Pattern and Predictability in Music. MUME@AIIDE Henrik Ekeus, Samer A. Abdallah, Mark D. Plumbley, Peter W. McOwan
2012	—	`conf`	Using Oracle Analysis for Decomposition-Based Automatic Music Transcription. CMMR Ken O'Hanlon, Hidehisa Nagano, Mark D. Plumbley
2011	Misc	`conf`	A constrained matching pursuit approach to audio declipping. ICASSP Amir Adler, Valentin Emiya, Maria G. Jafari, Michael Elad, Rémi Gribonval, Mark D. Plumbley
2011	C	`conf`	Blind source separation of periodic sources from sequentially recorded instantaneous mixtures. ISPA Maria G. Jafari, Fábio de Lima Hedayioglu, Miguel T. Coimbra, Mark D. Plumbley
2011	—	`conf`	Causal Prediction of Continuous-Valued Music Features. ISMIR Peter Foster, Anssi Klapuri, Mark D. Plumbley
2011	Misc	`conf`	Dictionary learning of convolved signals. ICASSP Daniele Barchiesi, Mark D. Plumbley
2011	J	`jnl`	Fast Dictionary Learning for Sparse Representations of Speech Signals. IEEE J. Sel. Top. Signal Process. Maria G. Jafari, Mark D. Plumbley
2011	J	`jnl`	Measuring the Performance of Beat Tracking Algorithms Using a Beat Error Histogram. IEEE Signal Process. Lett. Matthew E. P. Davies, Norberto Degara, Mark D. Plumbley
2011	—	`conf`	On the disjointess of sources in music using different time-frequency representations. WASPAA Dimitrios Giannoulis, Daniele Barchiesi, Anssi Klapuri, Mark D. Plumbley
2011	J	`jnl`	Onset Event Decoding Exploiting the Rhythmic Structure of Polyphonic Music. IEEE J. Sel. Top. Signal Process. Norberto Degara, Matthew E. P. Davies, Antonio S. Pena, Mark D. Plumbley
2011	—	`conf`	Real-time Visual Beat Tracking using a Comb Filter Matrix. ICMC Andrew Robertson, Adam M. Stark, Mark D. Plumbley
2011	Misc	`conf`	Separating sources from sequentially acquired mixtures of heart signals. ICASSP Fábio de Lima Hedayioglu, Maria G. Jafari, Sandra da Silva Mattos, Mark D. Plumbley, Miguel T. Coimbra
2011	—	`conf`	Sequential minimal eigenvalues - an approach to analysis dictionary learning. EUSIPCO Boaz Ophir, Michael Elad, Nancy Bertin, Mark D. Plumbley
2011	—	`conf`	Structure-aware dictionary learning with harmonic atoms. EUSIPCO Ken O'Hanlon, Mark D. Plumbley
2011	—	`conf`	The Medium is the Message: Composing Instruments and Performing Mappings. NIME Tim Murray Browne, Di Mainstone, Nick Bryan-Kinns, Mark D. Plumbley
2010	—	`conf`	A Multichannel Spatial Compressed Sensing Approach for Direction of Arrival Estimation. LVA/ICA Aris Gretsistas, Mark D. Plumbley
2010	J	`jnl`	A measure of statistical complexity based on predictive information CoRR Samer A. Abdallah, Mark D. Plumbley
2010	Misc	`conf`	An L1 criterion for dictionary learning by subspace identification. ICASSP Florent Jaillet, Rémi Gribonval, Mark D. Plumbley, Hadi Zayyani
2010	—	`conf`	Cross-associating unlabelled timbre distributions to create expressive musical mappings. WAPA Dan Stowell, Mark D. Plumbley
2010	Misc	`conf`	Gradient Polytope Faces Pursuit for large scale sparse recovery problems. ICASSP Aris Gretsistas, Ivan Damnjanovic, Mark D. Plumbley
2010	Misc	`conf`	Note onset detection using rhythmic structure. ICASSP Norberto Degara, Antonio S. Pena, Matthew E. P. Davies, Mark D. Plumbley
2010	Misc	`conf`	Performance following: Tracking a performance without a score. ICASSP Adam M. Stark, Mark D. Plumbley
2010	—	`conf`	SMALLbox - An Evaluation Framework for Sparse Representations and Dictionary Learning Algorithms. LVA/ICA Ivan Damnjanovic, Matthew E. P. Davies, Mark D. Plumbley
2010	J	`jnl`	Sparse Representations in Audio and Music: From Coding to Source Separation. Proc. IEEE Mark D. Plumbley, Thomas Blumensath, Laurent Daudet, Rémi Gribonval, Mike E. Davies
2009	Misc	`conf`	Benchmarking flexible adaptive time-frequency transforms for underdetermined audio source separation. ICASSP Andrew Nesbit, Emmanuel Vincent, Mark D. Plumbley
2009	—	`conf`	Estimating Phase Linearity in the Frequency-Domain ICA Demixing Matrix. ICA Keisuke Toyama, Mark D. Plumbley
2009	J	`jnl`	Evaluation of live human-computer music-making: Quantitative and qualitative approaches. Int. J. Hum. Comput. Stud. Dan Stowell, Andrew Robertson, Nick Bryan-Kinns, Mark D. Plumbley
2009	—	`conf`	Extension of Sparse, Adaptive Signal Decompositions to Semi-blind Audio Source Separation. ICA Andrew Nesbit, Emmanuel Vincent, Mark D. Plumbley
2009	J	`jnl`	Fast Multidimensional Entropy Estimation by k -d Partitioning. IEEE Signal Process. Lett. Dan Stowell, Mark D. Plumbley
2009	J	`jnl`	Information dynamics: patterns of expectation and surprise in the perception of music. Connect. Sci. Samer M. Abdallah, Mark D. Plumbley
2009	—	`conf`	Post-Processing Fiddle~: A Real-Time Multi-Pitch Tracking Technique Using Harmonic Partial Subtraction for Use within Live Performance Systems. ICMC Andrew Robertson, Mark D. Plumbley
2009	—	`conf`	Real-Time Chord Recognition for Live Performance. ICMC Adam M. Stark, Mark D. Plumbley
2009	—	`conf`	Sparse reconstruction for compressed sensing using Stagewise Polytope Faces Pursuit. DPS Mark D. Plumbley, Marco Bevilacqua
2009	—	`conf`	Speech denoising based on a greedy adaptive dictionary algorithm. EUSIPCO Maria G. Jafari, Mark D. Plumbley
2009	—	`conf`	Towards a musical beat emphasis function. WASPAA Matthew E. P. Davies, Mark D. Plumbley, Douglas Eck
2009	Misc	`conf`	Using phase linearity in frequency-domain ICA to tackle the permutation problem. ICASSP Keisuke Toyama, Mark D. Plumbley
2008	—	`conf`	A Turing Test for B-Keeper: Evaluating an Interactive. NIME Andrew Robertson, Mark D. Plumbley, Nick Bryan-Kinns
2008	J	`jnl`	An adaptive stereo basis method for convolutive blind audio source separation. Neurocomputing Maria G. Jafari, Emmanuel Vincent, Samer A. Abdallah, Mark D. Plumbley, Mike E. Davies
2008	—	`conf`	Discourse Analysis Evaluation Method for Expressive Musical Interfaces. NIME Dan Stowell, Mark D. Plumbley, Nick Bryan-Kinns
2008	J	`jnl`	Efficient Bayesian inference for harmonic models via adaptive posterior factorization. Neurocomputing Emmanuel Vincent, Mark D. Plumbley
2008	—	`conf`	Exploring the effect of rhythmic style classification on automatic tempo estimation. EUSIPCO Matthew E. P. Davies, Mark D. Plumbley
2008	—	`conf`	Natural Conjugate Gradient on Complex Flag Manifolds for Complex Independent Subspace Analysis. ICANN (1) Yasunori Nishimori, Shotaro Akaho, Mark D. Plumbley
2008	Misc	`conf`	Oracle estimation of adaptive cosine packet transforms for underdetermined audio source separation. ICASSP Andrew Nesbit, Mark D. Plumbley
2008	—	`conf`	Real Time Gesture Learning and Recognition: Towards Automatic Categorization. NIME Jean-Baptiste Thiebaut, Samer A. Abdallah, Andrew Robertson, Nick Bryan-Kinns, Mark D. Plumbley
2008	—	`conf`	Rhythmic Analysis for Real-Time audio effects. ICMC Adam M. Stark, Matthew E. P. Davies, Mark D. Plumbley
2008	—	`conf`	Separation of stereo speech signals based on a sparse dictionary algorithm. EUSIPCO Maria G. Jafari, Mark D. Plumbley
2008	J	`jnl`	Theorems on Positive Data: On the Uniqueness of NMF. Comput. Intell. Neurosci. Hans Laurberg, Mads Græsbøll Christensen, Mark D. Plumbley, Lars Kai Hansen, Søren Holdt Jensen
2007	—	`conf`	Adaptive whitening for Improved Real-Time audio onset Detection. ICMC Dan Stowell, Mark D. Plumbley
2007	J	`jnl`	Audio source separation with a signal-adaptive local cosine transform. Signal Process. Andrew Nesbit, Mark D. Plumbley, Mike E. Davies
2007	—	`conf`	B-Keeper: A Beat-Tracker for Live Performance. NIME Andrew Robertson, Mark D. Plumbley
2007	—	`ch.`	Blind Source Separation using Space-Time Independent Component Analysis. Blind Speech Separation Mike E. Davies, Maria G. Jafari, Samer A. Abdallah, Emmanuel Vincent, Mark D. Plumbley
2007	J	`jnl`	Context-Dependent Beat Tracking of Musical Audio. IEEE Trans. Speech Audio Process. Matthew E. P. Davies, Mark D. Plumbley
2007	—	`conf`	Dictionary Learning for L1-Exact Sparse Coding. ICA Mark D. Plumbley
2007	—	`conf`	Flag Manifolds for Subspace ICA Problems. ICASSP (4) Yasunori Nishimori, Shotaro Akaho, Samer A. Abdallah, Mark D. Plumbley
2007	—	`conf`	Geometry and Manifolds for Independent Component Analysis. ICASSP (4) Mark D. Plumbley
2007	—	`ed.`	Independent Component Analysis and Signal Separation, 7th International Conference, ICA 2007, London, UK, September 9-12, 2007. ICA Mike E. Davies, Christopher J. James, Samer A. Abdallah, Mark D. Plumbley
2007	J	`jnl`	Low Bit-Rate Object Coding of Musical Audio Using Bayesian Harmonic Models. IEEE Trans. Speech Audio Process. Emmanuel Vincent, Mark D. Plumbley
2007	J	`jnl`	On Polar Polytopes and the Recovery of Sparse Representations. IEEE Trans. Inf. Theory Mark D. Plumbley
2007	—	`conf`	On the Use of Entropy for Beat Tracking Evaluation. ICASSP (4) Matthew E. P. Davies, Mark D. Plumbley
2007	J	`jnl`	Oracle estimators for the benchmarking of source separation algorithms. Signal Process. Emmanuel Vincent, Rémi Gribonval, Mark D. Plumbley
2007	—	`conf`	Real-Time Beat-Synchronous Audio Effects. NIME Adam M. Stark, Mark D. Plumbley, Matthew E. P. Davies
2007	—	`conf`	The Role of High Frequencies in Convolutive Blind Source Separation of Speech Signals. ICA Maria G. Jafari, Mark D. Plumbley
2006	—	`conf`	A spectral difference approach to downbeat extraction in musical audio. EUSIPCO Matthew E. P. Davies, Mark D. Plumbley
2006	—	`conf`	Recovery of Sparse Representations by Polytope Faces Pursuit. ICA Mark D. Plumbley
2006	—	`conf`	Riemannian Optimization Method on the Flag Manifold for Independent Subspace Analysis. ICA Yasunori Nishimori, Shotaro Akaho, Mark D. Plumbley
2006	—	`conf`	Single-Channel Mixture Decomposition Using Bayesian Harmonic Models. ICA Emmanuel Vincent, Mark D. Plumbley
2006	—	`conf`	Source extraction from two-channel mixtures by joint cosine packet analysis. EUSIPCO Andrew Nesbit, Mike E. Davies, Mark D. Plumbley, Mark B. Sandler
2006	—	`conf`	Sparse Coding for Convolutive Blind Audio Source Separation. ICA Maria G. Jafari, Samer A. Abdallah, Mark D. Plumbley, Mike E. Davies
2006	J	`jnl`	Sparse representations of polyphonic music. Signal Process. Mark D. Plumbley, Samer A. Abdallah, Thomas Blumensath, Michael E. Davies
2006	J	`jnl`	Unsupervised analysis of polyphonic music by sparse coding. IEEE Trans. Neural Networks Samer A. Abdallah, Mark D. Plumbley
2005	—	`conf`	Beat tracking with a two state model [music applications]. ICASSP (3) Matthew E. P. Davies, Mark D. Plumbley
2005	J	`jnl`	Geometrical methods for non-negative ICA: Manifolds, Lie groups and toral subalgebras. Neurocomputing Mark D. Plumbley
2005	J	`jnl`	Polar Polytopes and Recovery of Sparse Representations CoRR Mark D. Plumbley
2004	J	`jnl`	A "nonnegative PCA" algorithm for independent component analysis. IEEE Trans. Neural Networks Mark D. Plumbley, Erkki Oja
2004	—	`conf`	Application of Geometric Dependency Analysis to the Separation of Convolved Mixtures. ICA Samer A. Abdallah, Mark D. Plumbley
2004	J	`jnl`	Blind Separation of Positive Sources by Globally Convergent Gradient Search. Neural Comput. Erkki Oja, Mark D. Plumbley
2004	—	`conf`	Causal Tempo Tracking of Audio. ISMIR Matthew E. P. Davies, Mark D. Plumbley
2004	—	`conf`	Fast labelling of notes in music signals. ISMIR Paul Brossier, Juan Pablo Bello, Mark D. Plumbley
2004	—	`conf`	Lie Group Methods for Optimization with Orthogonality Constraints. ICA Mark D. Plumbley
2004	—	`conf`	Optimization Using Fourier Expansion over a Geodesic for Non-negative ICA. ICA Mark D. Plumbley
2004	—	`conf`	Polyphonic transcription by non-negative sparse coding of power spectra. ISMIR Samer M. Abdallah, Mark D. Plumbley
2004	—	`conf`	Real-time temporal segmentation of note objects in music signals. ICMC Paul Brossier, Juan Pablo Bello, Mark D. Plumbley
2003	J	`jnl`	Algorithms for nonnegative independent component analysis. IEEE Trans. Neural Networks Mark D. Plumbley
2002	J	`jnl`	Automatic Music Transcription and Audio Source Separation. Cybern. Syst. Mark D. Plumbley, Samer A. Abdallah, Juan Pablo Bello, Mike E. Davies, Giuliano Monti, Mark B. Sandler
2002	J	`jnl`	Conditions for nonnegative independent component analysis. IEEE Signal Process. Lett. Mark D. Plumbley
2000	—	`ch.`	Information Density and Cortical Magnification Factors. Information Theory and the Brain Mark D. Plumbley
2000	—	`conf`	On-Line Connectionist Q-Learning Produces Unreliable Performance with A Synonym Finding Task. IJCNN (3) Ian Johnson, Mark D. Plumbley
1997	Misc	`conf`	Communications and neural networks: theory and practice. ICASSP Mark D. Plumbley
1996	J	`jnl`	Unsupervised Neural Network Learning Procedures for Feature Extraction and Classification. Appl. Intell. Suzanna Becker, Mark D. Plumbley
1995	J	`jnl`	Lyapunov functions for convergence of principal component algorithms. Neural Networks Mark D. Plumbley
1993	J	`jnl`	Efficient information transfer and anti-Hebbian neural networks. Neural Networks Mark D. Plumbley
1993	J	`jnl`	Generation and Adaptation of Neural Networks by Evolutionary Techniques (GANNET). Neural Comput. Appl. G. E. Robbins, Mark D. Plumbley, John C. Hughes, Frank Fallside, Richard W. Prager
1991	Misc	`conf`	The effect of receptor signal-to-noise levels on optimal filtering in a sensory system. ICASSP Mark D. Plumbley, Frank Fallside