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

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

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Model-Based Clustering of Trends and Cycles of Nitrate Concentrations in Rivers Across France

Model-Class Selection Using Clustering and Classification for Structural Identification and Prediction

Concrete Dam Displacement Prediction Based on an ISODATA-GMM Clustering and Random Coefficient Model

DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION

DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION

Using out-of-language data to improve an under-resourced speech recognizer

Comparing different acoustic modeling techniques for multilingual boosting

High-Dimensional Bayesian Clustering with Variable Selection: The R Package bclus

Application of Subspace Gaussian Mixture Models in Contrastive Acoustic Scenarios

The subspace Gaussian mixture model—A structured model for speech recognition

Model-Based Clustering of Trends and Cycles of Nitrate Concentrations in Rivers Across France

DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION

Model-Class Selection Using Clustering and Classification for Structural Identification and Prediction

The subspace Gaussian mixture model—A structured model for speech recognition

Concrete Dam Displacement Prediction Based on an ISODATA-GMM Clustering and Random Coefficient Model

DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION

Using out-of-language data to improve an under-resourced speech recognizer

Comparing different acoustic modeling techniques for multilingual boosting

High-Dimensional Bayesian Clustering with Variable Selection: The R Package bclus

Application of Subspace Gaussian Mixture Models in Contrastive Acoustic Scenarios