Non-linear maximum likelihood feature transformation for speech recognition

Keyphrases

• Maximum Likelihood 100%
• Speech Recognition 100%
• Hidden Markov Model 100%
• Covariance 100%
• Feature Transformation 100%
• Recognition Accuracy 66%
• Iterative Algorithm 33%
• Gaussian Mixture 33%
• Linear Features 33%
• System Use 33%
• Linear Function 33%
• CA Model 33%
• Linear Discriminant Analysis 33%
• Linear Transform 33%
• Linear Approach 33%
• Acoustic Features 33%
• Relative Entropy 33%
• Volume-preserving 33%
• Speech Signal 33%
• Variability Sources 33%
• Gaussian Mixture Model 33%
• International Cooperative Ataxia Rating Scale (ICARS) 33%
• Feature Vector 33%
• Conditional Probability Density Function 33%
• Automatic Speech Recognition 33%
• Inter-speaker Variation 33%
• Speech Recognizer 33%
• Empirical Estimator 33%
• Speech Recognition System 33%
• Local Dialect 33%
• Nonlinear Transformation 33%
• Phoneme Recognition 33%
• Discrete Sources 33%
• Continuous Type 33%
• Gender Variance 33%
• Acoustic Feature Vectors 33%
• Volume-preserving Maps 33%
• Feature Transform 33%
• Gaussian Mixture Hidden Markov Model 33%
• Linear Independent 33%

Computer Science

• maximum-likelihood 100%
• Objective Function 100%
• Speech Recognition 100%
• Gaussian Mixture 100%
• Recognition Accuracy 100%
• Iterative Algorithm 50%
• Probability Density Function 50%
• Linear Feature 50%
• Design Transforms 50%
• Linear Transform 50%
• Relative Entropy 50%
• Conditional Probability 50%
• Linear Discriminant Analysis 50%
• Linear Function 50%
• Gaussian Mixture Model 50%
• Acoustic Feature 50%
• Feature Vector 50%
• Speech Recognizer 50%
• Speech Recognition System 50%
• Nonlinear Transformation 50%
• Continuous Model 50%
• Independent Component Analysis 50%
• Preserving Map 50%
• Acoustic Feature Vector 50%

Mathematics

• Maximum Likelihood 100%
• Hidden Markov Model 100%
• Nonlinear 100%
• Covariance 75%
• Diagonal 75%
• Gaussian Distribution 50%
• Minimizes 50%
• Objective Function 50%
• Feature Vector 50%
• Linear Transformation 25%
• Discrete Model 25%
• Relative Entropy 25%
• Discriminant Analysis 25%
• Linear Function 25%
• Gaussian Mixture Model 25%
• Continuous Type 25%
• Independent Component 25%
• Conditional Probability Density Function 25%