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

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

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Sparse Autoencoders for Speech Modeling and Recognition

Utterance Verification-Based Dysarthric Speech Intelligibility Assessment Using Phonetic Posterior Features

On quantifying the quality of acoustic models in hybrid DNN-HMM ASR

Multilingual Training and Adaptation in Speech Recognition

Dynamic Model Pruning with Feedback

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

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 Subspace Modeling for Query by Example Spoken Term Detection