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Computer Science
Mobile Technologies
Voice Technologies
1. Introduction to Voice Technologies
2. Fundamentals of Sound and Speech
3. Digital Signal Processing for Speech
4. Automatic Speech Recognition
5. Text-to-Speech Synthesis
6. Spoken Language Understanding
7. Advanced Voice Technologies
8. Voice Technology Applications
9. Implementation Challenges
10. Future Directions and Research
Spoken Language Understanding
SLU System Architecture
Pipeline Integration
ASR-SLU Coupling
Error Propagation
Joint Optimization
End-to-End Approaches
Direct Audio Processing
Unified Training
Multi-Task Learning
Core SLU Tasks
Intent Classification
Intent Taxonomy
Classification Algorithms
Multi-Intent Handling
Intent Confidence Scoring
Slot Filling
Named Entity Recognition
Sequence Labeling
IOB Tagging
Nested Entity Extraction
Domain Classification
Multi-Domain Systems
Domain Adaptation
Cross-Domain Transfer
Dialogue Systems
Dialogue Management
State Representation
State Tracking
Policy Learning
Action Selection
Context Modeling
Dialogue History
User Modeling
Session Management
Multi-Turn Understanding
Response Generation
Template-Based Systems
Retrieval-Based Systems
Generative Systems
Hybrid Approaches
Advanced SLU Techniques
Joint Modeling
Multi-Task Learning
Shared Representations
Task Interaction
Few-Shot Learning
Meta-Learning
Prototype Networks
Data Augmentation
Transfer Learning
Domain Adaptation
Cross-Lingual Transfer
Pre-trained Models
SLU Evaluation
Component-Level Metrics
Intent Accuracy
Slot F1-Score
Exact Match Accuracy
System-Level Metrics
Task Success Rate
User Satisfaction
Dialogue Efficiency
Error Analysis
Error Propagation
Failure Mode Analysis
Robustness Testing
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5. Text-to-Speech Synthesis
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7. Advanced Voice Technologies