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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
Automatic Speech Recognition
ASR System Architecture
Pipeline Overview
Signal Processing Frontend
Feature Extraction Stage
Acoustic Modeling
Language Modeling
Decoding Process
System Integration
Component Interfaces
Data Flow Management
Error Handling
Performance Optimization
Acoustic Modeling
Traditional Approaches
Hidden Markov Models
State Structure
Transition Probabilities
Emission Probabilities
Training Algorithms
Gaussian Mixture Models
Component Estimation
EM Algorithm
Model Selection
Adaptation Techniques
Neural Network Approaches
Deep Neural Networks
Architecture Design
Activation Functions
Training Procedures
Regularization Methods
Recurrent Neural Networks
Vanilla RNNs
Long Short-Term Memory
Gated Recurrent Units
Bidirectional Processing
Convolutional Neural Networks
1D and 2D Convolutions
Pooling Strategies
Feature Map Interpretation
Advanced Architectures
Connectionist Temporal Classification
Alignment-Free Training
CTC Loss Function
Decoding Algorithms
Attention Mechanisms
Attention Types
Alignment Learning
Context Vector Computation
Language Modeling
Statistical Language Models
N-gram Models
Unigram through N-gram
Smoothing Techniques
Back-off Strategies
Interpolation Methods
Model Evaluation
Perplexity Calculation
Cross-Entropy
Out-of-Vocabulary Handling
Neural Language Models
Feedforward Networks
Recurrent Language Models
Transformer Architecture
Self-Attention Mechanism
Positional Encoding
Multi-Head Attention
Pre-trained Models
BERT and Variants
GPT Family
Fine-tuning Strategies
Decoding and Search
Search Algorithms
Viterbi Algorithm
Dynamic Programming
Trellis Structure
Backtracking
Beam Search
Pruning Strategies
Beam Width Selection
Length Normalization
Advanced Decoding
Weighted Finite State Transducers
Graph-Based Search
Lattice Generation
N-best List Generation
Modern ASR Architectures
End-to-End Models
Listen Attend and Spell
Encoder-Decoder Framework
Attention Mechanisms
Teacher Forcing
RNN Transducer
Streaming Capability
Alignment Learning
Prediction Network
Transformer-Based ASR
Conformer Architecture
Self-Attention in ASR
Positional Encoding
Hybrid Systems
HMM-DNN Integration
Tandem Systems
Bottleneck Features
ASR Evaluation
Error Metrics
Word Error Rate
Calculation Methods
Statistical Significance
Character Error Rate
Phoneme Error Rate
Error Analysis
Substitution Errors
Insertion Errors
Deletion Errors
Error Pattern Analysis
Robustness Testing
Noise Conditions
Speaker Variability
Domain Adaptation
Cross-Lingual Evaluation
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3. Digital Signal Processing for Speech
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5. Text-to-Speech Synthesis