Andrew J. R. Simpson

Affiliations:
  • University of Surrey, Guildford, UK


According to our database1, Andrew J. R. Simpson authored at least 26 papers between 2014 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2017
Two-Stage Single-Channel Audio Source Separation Using Deep Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Psychophysical Evaluation of Audio Source Separation Methods.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Discriminative Enhancement for Single Channel Audio Source Separation Using Deep Neural Networks.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

2016
Hierarchical Conflict Propagation: Sequence Learning in a Recurrent Deep Neural Network.
CoRR, 2016

Combining Mask Estimates for Single Channel Audio Source Separation Using Deep Neural Networks.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Evaluation of audio source separation models using hypothesis-driven non-parametric statistical methods.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Deep Remix: Remixing Musical Mixtures Using a Convolutional Deep Neural Network.
CoRR, 2015

Qualitative Projection Using Deep Neural Networks.
CoRR, 2015

Uniform Learning in a Deep Neural Network via "Oddball" Stochastic Gradient Descent.
CoRR, 2015

"Oddball SGD": Novelty Driven Stochastic Gradient Descent for Training Deep Neural Networks.
CoRR, 2015

Taming the ReLU with Parallel Dither in a Deep Neural Network.
CoRR, 2015

Use it or Lose it: Selective Memory and Forgetting in a Perpetual Learning Machine.
CoRR, 2015

On-the-Fly Learning in a Perpetual Learning Machine.
CoRR, 2015

Parallel Dither and Dropout for Regularising Deep Neural Networks.
CoRR, 2015

Dither is Better than Dropout for Regularising Deep Neural Networks.
CoRR, 2015

Instant Learning: Parallel Deep Neural Networks and Convolutional Bootstrapping.
CoRR, 2015

Time-Frequency Trade-offs for Audio Source Separation with Binary Masks.
CoRR, 2015

Deep Transform: Cocktail Party Source Separation via Complex Convolution in a Deep Neural Network.
CoRR, 2015

Probabilistic Binary-Mask Cocktail-Party Source Separation in a Convolutional Deep Neural Network.
CoRR, 2015

Deep Transform: Cocktail Party Source Separation via Probabilistic Re-Synthesis.
CoRR, 2015

Deep Transform: Time-Domain Audio Error Correction via Probabilistic Re-Synthesis.
CoRR, 2015

Deep Transform: Error Correction via Probabilistic Re-Synthesis.
CoRR, 2015

Abstract Learning via Demodulation in a Deep Neural Network.
CoRR, 2015

Over-Sampling in a Deep Neural Network.
CoRR, 2015

Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

2014
Selectivity and adaptation in the human auditory system.
PhD thesis, 2014


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