Segui
Mark D. Plumbley
Mark D. Plumbley
Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey
Email verificata su surrey.ac.uk - Home page
Titolo
Citata da
Citata da
Anno
PANNs: Large-scale pretrained audio neural networks for audio pattern recognition
Q Kong, Y Cao, T Iqbal, Y Wang, W Wang, MD Plumbley
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2880-2894, 2020
8902020
Best practices for scientific computing
G Wilson, DA Aruliah, CT Brown, NP Chue Hong, M Davis, RT Guy, ...
PLoS biology 12 (1), e1001745, 2014
7962014
Detection and classification of acoustic scenes and events
D Stowell, D Giannoulis, E Benetos, M Lagrange, MD Plumbley
IEEE Transactions on Multimedia 17 (10), 1733-1746, 2015
6582015
Acoustic Scene Classification: Classifying environments from the sounds they produce
D Barchiesi, D Giannoulis, D Stowell, MD Plumbley
IEEE Signal Processing Magazine 32 (3), 16-34, 2015
4832015
Detection and classification of acoustic scenes and events: Outcome of the DCASE 2016 challenge
A Mesaros, T Heittola, E Benetos, P Foster, M Lagrange, T Virtanen, ...
IEEE/ACM Transactions on Audio, Speech and Language Processing 26 (2), 379-393, 2018
3532018
Algorithms for nonnegative independent component analysis
MD Plumbley
IEEE Transactions on Neural Networks 14 (3), 534-543, 2003
3102003
Context-dependent beat tracking of musical audio
MEP Davies, MD Plumbley
IEEE Transactions on Audio, Speech, and Language Processing 15 (3), 1009-1020, 2007
3042007
Audio inpainting
A Adler, V Emiya, MG Jafari, M Elad, R Gribonval, MD Plumbley
IEEE Transactions on Audio, Speech, and Language Processing 20 (3), 922-932, 2012
3032012
Computational analysis of sound scenes and events
T Virtanen, MD Plumbley, D Ellis
Springer International Publishing, 2018
2982018
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning
D Stowell, MD Plumbley
PeerJ 2, e488, 2014
2972014
Sparse representations in audio and music: from coding to source separation
MD Plumbley, T Blumensath, L Daudet, R Gribonval, ME Davies
Proceedings of the IEEE 98 (6), 995-1005, 2009
2972009
Detection and classification of acoustic scenes and events: An IEEE AASP Challenge
D Giannoulis, E Benetos, D Stowell, M Rossignol, M Lagrange, ...
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics …, 2013
2692013
Large-scale weakly supervised audio classification using gated convolutional neural network
Y Xu, Q Kong, W Wang, MD Plumbley
2018 IEEE international conference on acoustics, speech and signal …, 2018
2632018
Theorems on positive data: On the uniqueness of NMF
H Laurberg, MG Christensen, MD Plumbley, LK Hansen, SH Jensen
Computational Intelligence and Neuroscience 2008, Article ID 764206, 2008
2302008
Polyphonic music transcription by non-negative sparse coding of power spectra
SA Abdallah, MD Plumbley
5th International Conference on Music Information Retrieval (ISMIR 2004 …, 2004
2162004
Wideband spectrum sensing on real-time signals at sub-Nyquist sampling rates in single and cooperative multiple nodes
Z Qin, Y Gao, MD Plumbley, CG Parini
IEEE Transactions on Signal Processing 64 (12), 3106-3117, 2016
1852016
Evaluation methods for musical audio beat tracking algorithms
MEP Davies, N Degara, MD Plumbley
Queen Mary University of London, Centre for Digital Music, Tech. Rep. C4DM …, 2009
1772009
AudioLDM: Text-to-audio generation with latent diffusion models
H Liu, Z Chen, Y Yuan, X Mei, X Liu, D Mandic, W Wang, MD Plumbley
40th International Conference on Machine Learning (ICML 2023), Honolulu …, 2023
1702023
Fast dictionary learning for sparse representations of speech signals
MG Jafari, MD Plumbley
IEEE Journal of Selected Topics in Signal Processing 5 (5), 1025-1031, 2011
1682011
Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network
AJR Simpson, G Roma, MD Plumbley
Proc. 12th International Conference on Latent Variable Analysis and Signal …, 2015
1602015
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