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Low-rank and sparse subspace modeling of speech for DNN based acoustic modeling

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Low-rank and sparse subspace modeling of speech for DNN based acoustic modeling

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An Investigation of Deep Neural Networks for Multilingual Speech Recognition Training and Adaptation

Template-matching for text-dependent speaker verification

Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models

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

Subspace Detection of DNN Posterior Probabilities via Sparse Representation for Query by Example Spoken Term Detection

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

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Sparse Subspace Modeling for Query by Example Spoken Term Detection

Low-Rank Representation For Enhanced Deep Neural Network Acoustic Models

Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System

Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models

An Investigation of Deep Neural Networks for Multilingual Speech Recognition Training and Adaptation

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Low-Rank Representation For Enhanced Deep Neural Network Acoustic Models

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

Subspace Detection of DNN Posterior Probabilities via Sparse Representation for Query by Example Spoken Term Detection

Template-matching for text-dependent speaker verification

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

Sparse Subspace Modeling for Query by Example Spoken Term Detection

Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System