• Chapter 1
• Introduction
• Chapter 2
• Speech Production and Modeling
  • 2.1 Introduction to Speech
  • 2.2 Human Anatomy of Speech Production
    • 1.
    • 2.
    • 2.1
    • 2.2
    • 2.2.1 Phonemes
  • 2.3 Human Anatomy of Speech Perception
  • 2.4 Modeling Speech Signals
    • 2.3
    • 2.4
    • Chapter 2
    • 2.1
    • 2.2
    • 2.3
    • 2.4.1 Source -Filter model
    • 2.4.2 Linear Prediction Model
  • 2.5 Summary
• Chapter 3
• Related Works
  • 3.1 Speech Enhancement
  • 3.2 Related Works in Speech Enhancement
  • 3.3 Noise Reduction
  • 3.4 Spectral Subtraction Method
  • 3.5 Wiener Filter
    • 3.5.1 Solving the Least Square Error Equation
    • 3.5.2 QR Decomposition Method
  • 3.6 Introduction and Related Work for Frequency Warping
    • 3.6.1 FIR Filter
  • 3.7 Related Works for Warped Wiener Filter
  • 3.8 Single Channel Wiener Filter
  • 3.9 Multichannel Wiener Filter
  • 3.10 Summary
• Chapter 4
• Proposed Method and Results
  • 4.1 Single Channel Wiener Filter
    • 4.1.1 Windowing
  • 4.2 All-pole FIR Warped Filter
  • 4.3 FIR Warped Wiener Filter
  • 4.4 Formant
  • Resonances of vocal tract called formant and represents the sound differences.
  • 4.5 Multichannel Wiener Filter
  • Another experiment is for the filter with 4 channels and third order, The waveform of the clean speech signal, and the noisy speech signals for all 4 channels (SNR=10 dB) and finally the estimated signal can be seen in Figure 4.23.
  • 4.6 Algorithm Outline
  • 4.7 Summary
• Chapter 5
• Conclusion and Future Works
  • 5.1 Conclusion
  • 5.2 Future Works

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