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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
Advanced Voice Technologies
Speaker Recognition
Speaker Verification
Enrollment Process
Verification Algorithms
Threshold Selection
False Accept/Reject Rates
Speaker Identification
Closed-Set Identification
Open-Set Identification
Large-Scale Systems
Computational Efficiency
Speaker Modeling
Gaussian Mixture Models
i-Vector Systems
x-Vector Systems
Neural Embeddings
Robustness Issues
Channel Variability
Noise Robustness
Spoofing Detection
Anti-Spoofing Measures
Speaker Diarization
Problem Definition
Segmentation Task
Clustering Task
Overlapping Speech
Traditional Approaches
Change Point Detection
Hierarchical Clustering
Model-Based Clustering
Neural Approaches
End-to-End Diarization
Embedding-Based Methods
Attention-Based Models
Evaluation Metrics
Diarization Error Rate
Jaccard Error Rate
Optimal Mapping
Keyword Spotting
Wake Word Detection
Always-On Systems
Low-Power Design
False Alarm Reduction
Keyword Spotting Algorithms
Template Matching
HMM-Based Systems
Neural Networks
Confidence Scoring
On-Device Implementation
Model Compression
Quantization
Hardware Optimization
Emotion Recognition
Emotional Speech Features
Prosodic Features
Spectral Features
Voice Quality Features
Emotion Models
Categorical Models
Dimensional Models
Continuous Emotion
Recognition Approaches
Traditional Machine Learning
Deep Learning Methods
Multi-Modal Fusion
Multilingual Processing
Language Identification
Acoustic Approaches
Phonotactic Approaches
Neural Methods
Code-Switching
Detection Methods
ASR for Code-Switching
Linguistic Analysis
Cross-Lingual Systems
Transfer Learning
Multilingual Training
Zero-Shot Learning
Speech Translation
Cascade Systems
ASR-MT Pipeline
Error Propagation
Optimization Strategies
End-to-End Systems
Direct Speech Translation
Attention Mechanisms
Multi-Task Learning
Speech-to-Speech Translation
Synthesis Integration
Voice Preservation
Real-Time Systems
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6. Spoken Language Understanding
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8. Voice Technology Applications