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Accurate,fast and stable denoising source separation algorithms
denoising source separation DSS independent component analysis ICA blind source separation BSS FastICA stability
2015/7/30
Denoising source separation is a recently introduced framework for building source separation algorithms around denoising procedures. Two developments are reported here. First, a new scheme for accele...
Behaviourally meaningful representations from normalisation and context-guided denoising
Behaviourally meaningful representations normalisation context-guided denoising
2015/7/30
Many existing independent component analysis algorithms include a preprocessing stage where the inputs are sphered. This amounts to normalising the data such that all correlations between the variable...
Speech Feature Denoising and Dereverberation via Deep Autoencoders for Noisy Reverberant Speech Recognition
robust speech recognition feature denoising denoising autoencoder deep neural network
2014/11/27
Denoising autoencoders (DAs) have shown success in generating robust features for images, but there has been limited work in applying DAs for speech. In this paper we present a deep denoising autoenco...