• Chapter 1 (14)
• Introduction (14)
• Chapter 2 (17)
• Speech Production and Modeling (17)
  • 2.1 Introduction to Speech (17)
  • 2.2 Human Anatomy of Speech Production (18)
    • 1. (20)
    • 2. (20)
    • 2.1 (20)
    • 2.2 (20)
    • 2.2.1 Phonemes (20)
  • 2.3 Human Anatomy of Speech Perception (22)
  • 2.4 Modeling Speech Signals (23)
    • 2.3 (23)
    • 2.4 (23)
    • Chapter 2 (23)
    • 2.1 (23)
    • 2.2 (23)
    • 2.3 (23)
    • 2.4.1 Source -Filter model (23)
    • 2.4.2 Linear Prediction Model (25)
  • 2.5 Summary (26)
• Chapter 3 (27)
• Related Works (27)
  • 3.1 Speech Enhancement (27)
  • 3.2 Related Works in Speech Enhancement (29)
  • 3.3 Noise Reduction (30)
  • 3.4 Spectral Subtraction Method (31)
  • 3.5 Wiener Filter (32)
    • 3.5.1 Solving the Least Square Error Equation (34)
    • 3.5.2 QR Decomposition Method (36)
  • 3.6 Introduction and Related Work for Frequency Warping (37)
    • 3.6.1 FIR Filter (39)
  • 3.7 Related Works for Warped Wiener Filter (42)
  • 3.8 Single Channel Wiener Filter (43)
  • 3.9 Multichannel Wiener Filter (44)
  • 3.10 Summary (48)
• Chapter 4 (50)
• Proposed Method and Results (50)
  • 4.1 Single Channel Wiener Filter (50)
    • 4.1.1 Windowing (52)
  • 4.2 All-pole FIR Warped Filter (57)
  • 4.3 FIR Warped Wiener Filter (61)
  • 4.4 Formant (66)
  • Resonances of vocal tract called formant and represents the sound differences. (66)
  • 4.5 Multichannel Wiener Filter (69)
  • 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. (74)
  • 4.6 Algorithm Outline (76)
  • 4.7 Summary (76)
• Chapter 5 (77)
• Conclusion and Future Works (77)
  • 5.1 Conclusion (77)
  • 5.2 Future Works (78)