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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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Automatic Out-of-Language Detection Based on Confidence Measures Derived fromLVCSR Word and Phone Lattices

Automatic Out-of-Language Detection based on Confidence Measures derived from LVCSR Word and Phone Lattices

VTLN Adaptation for Statistical Speech Synthesis

Keyword Detection for Spontaneous Speech

A Neural Network based Regression Approach for Recognizing Simultaneous Speech

Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods

Fast keyword detection with sparse time-frequency models

Enhanced Phone Posteriors for Improving Speech Recognition Systems

Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition

Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition

Automatic Out-of-Language Detection Based on Confidence Measures Derived fromLVCSR Word and Phone Lattices

VTLN Adaptation for Statistical Speech Synthesis

Keyword Detection for Spontaneous Speech

Fast keyword detection with sparse time-frequency models

Enhanced Phone Posteriors for Improving Speech Recognition Systems

A Neural Network based Regression Approach for Recognizing Simultaneous Speech

Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods

Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition

Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition

Automatic Out-of-Language Detection based on Confidence Measures derived from LVCSR Word and Phone Lattices