Andrew J.R. Simpson, PhD
Andrew J.R. Simpson, PhD
Research Fellow, CVSSP, University of Surrey
Verified email at surrey.ac.uk
Title
Cited by
Cited by
Year
Deep karaoke: Extracting vocals from musical mixtures using a convolutional deep neural network
AJR Simpson, G Roma, MD Plumbley
International Conference on Latent Variable Analysis and Signal Separation …, 2015
1102015
Self-driving car steering angle prediction based on image recognition
S Du, H Guo, A Simpson
arXiv preprint arXiv:1912.05440, 2019
392019
Single-channel audio source separation using deep neural network ensembles
EM Grais, G Roma, AJR Simpson, MD Plumbley
Audio Engineering Society Convention 140, 2016
362016
Two-stage single-channel audio source separation using deep neural networks
EM Grais, G Roma, AJR Simpson, MD Plumbley
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (9), 1773 …, 2017
342017
The mathematics of mixing
M Terrell, A Simpson, M Sandler
Journal of the audio engineering society 62 (1/2), 4-13, 2014
252014
Combining mask estimates for single channel audio source separation using deep neural networks
EM Grais, G Roma, AJR Simpson, M Plumbley
Interspeech2016 Proceedings, 2016
242016
Abstract learning via demodulation in a deep neural network
AJR Simpson
arXiv preprint arXiv:1502.04042, 2015
242015
Probabilistic binary-mask cocktail-party source separation in a convolutional deep neural network
AJR Simpson
arXiv preprint arXiv:1503.06962, 2015
222015
Visual objects in the auditory system in sensory substitution: How much information do we need?
DJ Brown, AJR Simpson, MJ Proulx
Multisensory research 27 (5-6), 337-357, 2014
192014
Syncopation and the score
C Song, AJR Simpson, CA Harte, MT Pearce, MB Sandler
PloS one 8 (9), e74692, 2013
182013
Discriminative enhancement for single channel audio source separation using deep neural networks
EM Grais, G Roma, AJR Simpson, MD Plumbley
international conference on latent variable analysis and signal separation …, 2017
172017
Selective adaptation to “oddball” sounds by the human auditory system
AJR Simpson, NS Harper, JD Reiss, D McAlpine
Journal of Neuroscience 34 (5), 1963-1969, 2014
162014
Over-sampling in a deep neural network
AJR Simpson
arXiv preprint arXiv:1502.03648, 2015
152015
Evaluation of audio source separation models using hypothesis-driven non-parametric statistical methods
AJR Simpson, G Roma, EM Grais, RD Mason, C Hummersone, A Liutkus, ...
2016 24th European Signal Processing Conference (EUSIPCO), 1763-1767, 2016
142016
Dither is better than dropout for regularising deep neural networks
AJR Simpson
arXiv preprint arXiv:1508.04826, 2015
102015
Music remixing and upmixing using source separation
G Roma, EM Grais, AJR Simpson, MD Plumbley
Proceedings of the 2nd AES Workshop on Intelligent Music Production, 2016
92016
A practical step-by-step guide to the time-varying loudness model of Moore, Glasberg, and Baer (1997; 2002)
AJR Simpson, MJ Terrell, JD Reiss
Audio Engineering Society Convention 134, 2013
92013
The dynamic range paradox: a central auditory model of intensity change detection
AJR Simpson, JD Reiss
PLoS One 8 (2), e57497, 2013
92013
Deep transform: cocktail party source separation via complex convolution in a deep neural network
AJR Simpson
arXiv preprint arXiv:1504.02945, 2015
82015
On-the-fly learning in a perpetual learning machine
AJR Simpson
arXiv preprint arXiv:1509.00913, 2015
72015
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