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
1142015
Self-driving car steering angle prediction based on image recognition
S Du, H Guo, A Simpson
arXiv preprint arXiv:1912.05440, 2019
412019
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
202014
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
182017
Syncopation and the score
C Song, AJR Simpson, CA Harte, MT Pearce, MB Sandler
PloS one 8 (9), e74692, 2013
182013
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
Deep transform: cocktail party source separation via complex convolution in a deep neural network
AJR Simpson
arXiv preprint arXiv:1504.02945, 2015
92015
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
On-the-fly learning in a perpetual learning machine
AJR Simpson
arXiv preprint arXiv:1509.00913, 2015
72015
The system can't perform the operation now. Try again later.
Articles 1–20