Lecture Notes in Speech Signal Processing

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.