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Acoustic models for posterior features in speech recognition

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Acoustic models for posterior features in speech recognition

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Acoustic Models for Posterior Features in Speech Recognition

Acoustic Models for Posterior Features in Speech Recognition

Using KL-based Acoustic Models in a Large Vocabulary Recognition Task

Using Comparison of Parallel Phoneme Probability streams for OOV Word Detection

Combining Evidence from a Generative and a Discriminative Model in Phoneme Recognition

Combining Evidence from a Generative and a Discriminative Model in Phoneme Recognition

Volterra Series for Analyzing MLP based Phoneme Posterior Probability Estimator

Bayesian Inference and Optimal Design in the Sparse Linear Model

Using entropy as a stream reliability estimate for audio-visual speech recognition

Posterior Features Applied to Speech Recognition Tasks with Limited Training Data

Using Comparison of Parallel Phoneme Probability streams for OOV Word Detection

Bayesian Inference and Optimal Design in the Sparse Linear Model

Using KL-based Acoustic Models in a Large Vocabulary Recognition Task

Using entropy as a stream reliability estimate for audio-visual speech recognition

Combining Evidence from a Generative and a Discriminative Model in Phoneme Recognition

Combining Evidence from a Generative and a Discriminative Model in Phoneme Recognition

Volterra Series for Analyzing MLP based Phoneme Posterior Probability Estimator

Acoustic Models for Posterior Features in Speech Recognition

Acoustic Models for Posterior Features in Speech Recognition

Posterior Features Applied to Speech Recognition Tasks with Limited Training Data