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We cast the under-determined convolutive speech separation as sparse approximation of the spatial spectra of the mixing sources. In this framework we compare and contrast the major practical algorithms for structured sparse recovery of speech signal. Speci ...

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2012

Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity

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Nanoparticles and method for producing uniform silicate-based nanoparticles

Mean-Field methods for Structured Deep-Learning in Computer Vision

Asynchronous Byzantine Machine Learning (the case of SGD)

Contained density currents with high volume of release

Temporally Coherent Clustering of Student Data

Beyond One Third Byzantine Failures

Cluster phenomenon and partial differential aging in RAP mixtures

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Computational Methods For Structured Sparse Component Analysis of Convolutive Speech Mixtures

Computational Methods For Structured Sparse Component Analysis of Convolutive Speech Mixtures

Mean-Field methods for Structured Deep-Learning in Computer Vision

Contained density currents with high volume of release

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Nanoparticles and method for producing uniform silicate-based nanoparticles

Temporally Coherent Clustering of Student Data

Asynchronous Byzantine Machine Learning (the case of SGD)

Beyond One Third Byzantine Failures

Computational Methods For Structured Sparse Component Analysis of Convolutive Speech Mixtures

Cluster phenomenon and partial differential aging in RAP mixtures

Computational Methods For Structured Sparse Component Analysis of Convolutive Speech Mixtures