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The Kaldi Speech Recognition Toolkit

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The Kaldi Speech Recognition Toolkit

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Model-Based Compressive Sensing for Multi-Party Distant Speech Recognition

Model-Based Compressive Sensing for Multi-Party Distant Speech Recognition

Model-based Compressive Sensing for Multi-party Distant Speech Recognition

Subspace Gaussian Mixture Models for speech recognition

A Probabilistic Approach to Handle Missing Data for Multi-Sensory Activity Recognition

Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models

Acoustic models for posterior features in speech recognition

Acoustic Models for Posterior Features in Speech Recognition

Acoustic Models for Posterior Features in Speech Recognition

Silence Models in Weighted Finite-State Transducers

Acoustic models for posterior features in speech recognition

Acoustic Models for Posterior Features in Speech Recognition

Acoustic Models for Posterior Features in Speech Recognition

Subspace Gaussian Mixture Models for speech recognition

Model-based Compressive Sensing for Multi-party Distant Speech Recognition

Model-Based Compressive Sensing for Multi-Party Distant Speech Recognition

Model-Based Compressive Sensing for Multi-Party Distant Speech Recognition

A Probabilistic Approach to Handle Missing Data for Multi-Sensory Activity Recognition

Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models

Silence Models in Weighted Finite-State Transducers