Semantic analysis of spoken input using Markov logic networks

Computer Science

• Speech Recognizer 100%
• Support Vector Machine 50%
• Target Application 50%
• Training Model 50%
• Graphical Model 50%
• Naïve Bayes Model 50%
• Home Automation 50%
• nonnegative matrix factorization 50%
• Baseline Approach 50%
• Abstract Level 50%
• Analysis Technique 50%
• Training Data 50%

Keyphrases

• Automatic Speech Recognizer 40%
• Naive Bayes Model 20%
• Model Vectors 20%
• Acoustic Representation 20%
• Input Speech 20%
• Degraded Speech 20%
• Home Automation System 20%
• Network Training 20%
• First-order Logic 20%
• Incomplete Data 20%
• Speech Impairment 20%