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Sparse Component Analysis for Speech Recognition in Multi-Speaker Environment

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Sparse Component Analysis for Speech Recognition in Multi-Speaker Environment

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Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition

On Compressibility of Neural Network phonological Features for Low Bit Rate Speech Coding

Signal structure: from manifolds to molecules and structured sparsity

Sparse Gammatone Signal Model Predicts Perceived Noise Intrusiveness

Posterior-based Sparse Representation for Automatic Speech Recognition

Model-based Sparse Component Analysis for Reverberant Speech Localization

Model-based Sparse Component Analysis for Reverberant Speech Localization

Structured Sparsity Models for Reverberant Speech Separation

Model-based Sparse Component Analysis for Multiparty Distant Speech Recognition

Computational Methods For Structured Sparse Component Analysis of Convolutive Speech Mixtures

On Compressibility of Neural Network phonological Features for Low Bit Rate Speech Coding

Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition

Sparse Gammatone Signal Model Predicts Perceived Noise Intrusiveness

Structured Sparsity Models for Reverberant Speech Separation

Signal structure: from manifolds to molecules and structured sparsity

Posterior-based Sparse Representation for Automatic Speech Recognition

Model-based Sparse Component Analysis for Reverberant Speech Localization

Model-based Sparse Component Analysis for Reverberant Speech Localization

Model-based Sparse Component Analysis for Multiparty Distant Speech Recognition

Computational Methods For Structured Sparse Component Analysis of Convolutive Speech Mixtures