Course Material
Part 1 Introduction to speech processing
Lecture 1: Introduction to Digital Speech Processing
Lecture 2: The Speech Production Chain
Lecture 3: Acoustic Theory of Speech Production
-----------------------------------------------------------------------DSP
Part 2 Fundamentals of DSP
Lecture 4: Quantization and the Sampling theorem - Matlab
Lecture 5: Discrete time signals and signal transform
Lecture 6: LTI inear time invariant systems
Lecture 7: LTI systems and the discrete convolution
Lecture 8: LTI: FIR and IIR systems
----------------------------------------------------------------------- T-Domain
Part 3: Transforms
Lecture 9: The Z-Transform
Lecture 10: LTI systems in the frequency domain - Matlab
Lectrue 11: The Discrete time Fourier Transform DTFT
Lecture 12: DFT-Transform
-----------------------------------------------------------------------Z/F-Domains
Part4: Digital Filters
Lecture 13: FIR and IIR Filters
Lecture 14: Multivariate filters: Decimation and Interpolation
Lecture 15: Reconstruction of continuous signals
Lecture 16: Spectral analysis and reconstruction - Matlab
----------------------------------------------------------------------Applications/Interactive
Part 5: Special Speech processing applications
Lecture 17: Speech Codecs in communications (RPE-LTP)
Lecture 18: Linear prediction anaysis, LTP, STP
Lecture 19: Speech Recognition
----------------------------------------------------------------------Final exam
Instructor: Prof. Dr.-Ing. Samah A. M. Ghanem
Assessment Criteria: Midterm 20%, Assignments 30%, Final 50%
Textbooks:
Introduction to Digital Speech Processing, by by Lawrence Rabiner and Ronald W. Schafer, ACM Digital Lib.
Discrete-Time Signal Processing, by Alan V. Oppenheim and Ronald W. Schafer, Prentice Hall.