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Sparse Autoencoders for Speech Modeling and Recognition

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Sparse Autoencoders for Speech Modeling and Recognition

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Tractable Approaches to Learning and Planning in High Dimensions

Sparse Gammatone Signal Model Predicts Perceived Noise Intrusiveness

Articulatory Feature based Continuous Speech Recognition using Probabilistic Lexical Modeling

Feature Mapping of Multiple Beamformed Sources for Robust Overlapping Speech Recognition Using a Microphone Array

Objective Speech Intelligibility Assessment through Comparison of Phoneme Class Conditional Probability Sequences

Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks

Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks

Model-based Sparse Component Analysis for Multiparty Distant Speech Recognition

Personalising speech-to-speech translation: Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis

KL-HMM and Probabilistic Lexical Modeling

Tractable Approaches to Learning and Planning in High Dimensions

Feature Mapping of Multiple Beamformed Sources for Robust Overlapping Speech Recognition Using a Microphone Array

Personalising speech-to-speech translation: Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis

Sparse Gammatone Signal Model Predicts Perceived Noise Intrusiveness

Articulatory Feature based Continuous Speech Recognition using Probabilistic Lexical Modeling

Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks

Objective Speech Intelligibility Assessment through Comparison of Phoneme Class Conditional Probability Sequences

Model-based Sparse Component Analysis for Multiparty Distant Speech Recognition

Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks

KL-HMM and Probabilistic Lexical Modeling