Discrete Time Speech Signal Processing, 1/e: Principles And Practice

1. 
   A Discrete-Time Signal Processing Framework




2. Production and Classification of Speech
   Sounds




3. Acoustics of Speech Production




4. Analysis and Synthesis of Pole-Zero Speech
   Models




5. Homomorphic Signal Processing




6. Short-Time Fourier Transform Analysis and
   Synthesis




7. Filter-Bank Analysis/Synthesis




8. Sinusoidal Analysis/Synthesis




9. 
   Frequency-Domain Pitch Estimation




10. Nonlinear Measurement and Modeling
    Techniques




11. Speech Coding




12. Speech Enhancement




13. Speaker Recognition

This book, Discrete-Time Speech Signal Processing : Principles And Practice, provides an up-to-date, intensive introduction to the fundamental theory of discrete-time speech signal processing while presenting the state-of-the-art in speech processing research, its applications to speech modification and enhancement, speech coding, and speaker recognition, as well as areas for further advancement in the field. It contains topics that are not included in current speech text books such as sinusoidal speech processing, advanced time-frequency analysis, and non-linear, aeroacoustic speech production modeling. It also contains numerous examples and MATLAB exercises, integrated into both the theoretical and application sections of the book.