Suivre
Andrew J.R. Simpson, PhD
Andrew J.R. Simpson, PhD
Research Fellow, CVSSP, University of Surrey
Adresse e-mail validée de surrey.ac.uk
Titre
Citée par
Citée par
Année
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
1292015
Self-driving car steering angle prediction based on image recognition
S Du, H Guo, A Simpson
arXiv preprint arXiv:1912.05440, 2019
572019
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
402017
Single-channel audio source separation using deep neural network ensembles
EM Grais, G Roma, AJR Simpson, MD Plumbley
Audio Engineering Society Convention 140, 2016
372016
Abstract learning via demodulation in a deep neural network
AJR Simpson
arXiv preprint arXiv:1502.04042, 2015
272015
The mathematics of mixing
M Terrell, A Simpson, M Sandler
Journal of the audio engineering society 62 (1/2), 4-13, 2014
272014
Combining mask estimates for single channel audio source separation using deep neural networks
EM Grais, G Roma, AJR Simpson, M Plumbley
Interspeech2016 Proceedings, 2016
262016
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
252014
Probabilistic binary-mask cocktail-party source separation in a convolutional deep neural network
AJR Simpson
arXiv preprint arXiv:1503.06962, 2015
242015
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
Over-sampling in a deep neural network
AJR Simpson
arXiv preprint arXiv:1502.03648, 2015
182015
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
182014
Syncopation and the score
C Song, AJR Simpson, CA Harte, MT Pearce, MB Sandler
PLoS One 8 (9), e74692, 2013
162013
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
Auditory scene analysis and sonified visual images. Does consonance negatively impact on object formation when using complex sonified stimuli?
DJ Brown, AJR Simpson, MJ Proulx
Frontiers in Psychology 6, 1522, 2015
122015
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
122013
Dither is better than dropout for regularising deep neural networks
AJR Simpson
arXiv preprint arXiv:1508.04826, 2015
112015
Deep transform: cocktail party source separation via complex convolution in a deep neural network
AJR Simpson
arXiv preprint arXiv:1504.02945, 2015
102015
The dynamic range paradox: a central auditory model of intensity change detection
AJR Simpson, JD Reiss
PLoS One 8 (2), e57497, 2013
102013
Untwist: A new toolbox for audio source separation
G Roma, EM Grais, AJ Simpson, I Sobieraj, MD Plumbley
Extended abstracts for the late-breaking demo session of the 17th …, 2016
92016
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