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Fast keyword detection with sparse time-frequency models

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Fast keyword detection with sparse time-frequency models

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Sparse Autoencoders for Speech Modeling and Recognition

Automatic pathological speech assessment

AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS

Understanding and Visualizing Raw Waveform-based CNNs

Sparse and Low-rank Modeling for Automatic Speech Recognition

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Spectral Subspace Analysis for Automatic Assessment of Pathological Speech Intelligibility

AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS

Phonetic Subspace Features for Improved Query by Example Spoken Term Detection

Gradient-based spectral visualization of CNNs using raw waveforms

AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS

AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS

Automatic pathological speech assessment

Sparse Autoencoders for Speech Modeling and Recognition

Understanding and Visualizing Raw Waveform-based CNNs

Gradient-based spectral visualization of CNNs using raw waveforms

Spectral Subspace Analysis for Automatic Assessment of Pathological Speech Intelligibility

Phonetic Subspace Features for Improved Query by Example Spoken Term Detection

Sparse and Low-rank Modeling for Automatic Speech Recognition

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