笔记: Spoken Language Processing

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进入语音领域两年多，尽管对语音领域已经有相对深入的了解，但因非科班出身，总感觉缺乏系统全面的认知，因此打算认真研读语音领域的经典教材：Spoken Language Processing，深入了解语音识别的前世。

目录

  1. Introduction
    PART I: FUNDAMENTAL THEORY
  2. Spoken language structure
  3. Probability, Statictics and Information Theory
  4. Pattern Recognition
    PART II: SPEECH PROCESSING
  5. Digital Signal Processing
  6. Speech Signal Representations
  7. Speech Coding
    PART III: SPEECH RECOGNITION
  8. Hidden Markov Models
  9. Acoustic Modeling
  10. Environmental Robustness
  11. Language Modeling
  12. Basic Search Algorithms
  13. Large Vocabulary Search Algorithms
    PART IV: TEXT-TO-SPEECH SYSTEMS
  14. Text and Phonetic Analysis
  15. Prosody
  16. Speech Synthesis
    PART V: SPOKEN LANGUAGE SYSTEMS
  17. Spoken Language Understanding
  18. Applications And User Interfaces