Discrete-time speech signal processing : principles & practice

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Language: English
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780 p. · 18.5x24.5 cm · Hardback
For advanced upper level undergraduate courses and graduate level courses in speech signal processing in Electrical Engineering covering application areas of telecommunications, speech on the internet, biometric and recognition technology, audio and speech special effects in the music and entertainment industries, and speech and hearing science. It is also useful as a reference for speech signal researchers in a university, government, or industrial laboratory.
This book 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.
(NOTE: Each chapter concludes with a Summary and a Bibliography.)
1. Introduction.
2. A Discrete-Time Signal Processing Framework.
3. Production and Classification of Speech Sounds.
4. Acoustics of Speech Production.
5. Analysis and Synthesis of Pole-Zero Speech Models.
6. Homomorphic Signal Processing.
7. Short-Time Fourier Transform Analysis and Synthesis.
8. Filter-Bank Analysis/Synthesis.
9. Sinusoidal Analysis/Synthesis.
10. Frequency-Domain Pitch Estimation.
11. Nonlinear Measurement and Modeling Techniques.
12. Speech Coding.

  • Topics that are not included in current speech text books - Such as sinusoidal speech processing, advanced time-frequency analysis, and nonlinear, aeroacoustic speech production modeling - fills a market gap for an up-to-date text.
  • Most up-to-date applications of speech processing technology - demonstrates the latest developments in the application of speech modification, speech enhancement, speech coding, and speaker recognition.
  • Clear distinction between stochastic and deterministic problems - illustrates for the student that some techniques have different solution paths depending on the problem.
  • Numerous examples and MATLAB exercises - Integrated into both the theoretical and application sections of the book - presents the most intensive set of examples and exer