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Sparse Modeling of Neural Network Posterior Probabilities for Exemplar-based Speech Recognition

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Sparse Modeling of Neural Network Posterior Probabilities for Exemplar-based Speech Recognition

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Sparse Autoencoders for Speech Modeling and Recognition

Word-level Embeddings for Cross-Task Transfer Learning in Speech Processing

Sparse and Low-rank Modeling for Automatic Speech Recognition

End-to-End Acoustic Modeling using Convolutional Neural Networks for HMM-based Automatic Speech Recognition

Phonetic Subspace Features for Improved Query by Example Spoken Term Detection

Sparse Pronunciation Codes for Perceptual Phonetic Information Assessment

Subspace Regularized Dynamic Time Warping for Spoken Query Detection

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

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

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

Word-level Embeddings for Cross-Task Transfer Learning in Speech Processing

Sparse Autoencoders for Speech Modeling and Recognition

Subspace Regularized Dynamic Time Warping for Spoken Query Detection

End-to-End Acoustic Modeling using Convolutional Neural Networks for HMM-based Automatic Speech Recognition

Sparse Pronunciation Codes for Perceptual Phonetic Information Assessment

Phonetic Subspace Features for Improved Query by Example Spoken Term Detection

Sparse and Low-rank Modeling for Automatic Speech Recognition

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

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