Use of a self-learning neuro-fuzzy system for syllabic labeling of continuous speech

Keyphrases

• Composite Neural Network 100%
• Computation Complexity 25%
• Consonants 25%
• Continuous Speech 100%
• Correct Recognition Rate 25%
• Crispy 25%
• Fuzzy Classification Rules 25%
• Fuzzy Neural Network 100%
• Fuzzy Rules 25%
• Hybrid System 25%
• Large Memory 25%
• Large Vocabulary Continuous Speech Recognition (LVCSR) 25%
• Mandarin Speech 25%
• Network Paradigm 25%
• Neural Network 25%
• Novel Class 25%
• Reading Rate 25%
• Rule-based Approach 25%
• Segmentation Feature 25%
• Segmentation Model 25%
• Speech Data 50%
• Speech Recognition System 50%
• Speech Segmentation 75%
• Syllabic Units 50%
• Transition State 25%
• Two-phase Problem 25%
• Unit-based 25%
• Vowels 25%

Engineering

• Classification Rule 50%
• Computation Complexity 50%
• Continuous Speech Recognition 50%
• Fuzzy Rules 50%
• Fuzzy System 100%
• Illustrates 50%
• Recognition Rate 50%
• Speech Data 100%

Computer Science

• Classification Rule 20%
• Computation Complexity 20%
• fuzzy classification 20%
• Network Paradigm 20%
• Neural Network 100%
• neuro-fuzzy 100%
• Recognition Rate 20%
• Segmentation Model 20%
• Speech Recognition System 40%