Chapter 1 Contents

• Chapter 1: Spoken Language Input
  • 1.1 Overview
  • 1.2 Speech Recognition
    • 1.2.1 Defining the Problem
    • 1.2.2 State of the Art
    • 1.2.3 Future Directions
  • 1.3 Signal Representation
    • 1.3.1 Future Directions
  • 1.4 Robust Speech Recognition
    • 1.4.1 Dynamic Parameter Adaptation
    • 1.4.2 Use of Multiple Microphones
    • 1.4.3 Use of Physiologically Motivated Signal Processing
    • 1.4.4 Future Directions
  • 1.5 HMM Methods in Speech Recognition
    • 1.5.1 Acoustic Models
    • 1.5.2 Word and Unit Models
    • 1.5.3 Language Models
    • 1.5.4 Generation of Word Hypotheses
    • 1.5.5 Future Directions
  • 1.6 Language Representation
    • 1.6.1 Trigram Language Model
    • 1.6.2 Perplexity
    • 1.6.3 Vocabulary Size
    • 1.6.4 Improved Language Models
    • 1.6.5 Future Directions
  • 1.7 Speaker Recognition
    • 1.7.1 Principles of Speaker Recognition
    • 1.7.2 Feature Parameters
    • 1.7.3 Normalization Techniques
    • 1.7.4 Text-Dependent Speaker Recognition Methods
    • 1.7.5 Text-Independent Speaker Recognition Methods
    • 1.7.6 Text-Prompted Speaker Recognition Method
    • 1.7.7 Future Directions
  • 1.8 Spoken Language Understanding
    • 1.8.1 Overview
    • 1.8.2 State of the Art
    • 1.8.3 Evaluation of Spoken Language Understanding Systems
    • 1.8.4 Challenges
    • 1.8.5 Future Directions
  • 1.9References
  
  

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