ENEE 632: Speech and Audio Processing


Course Goals:

The objective of this course is to study different aspects of the speech communication process and the principles of discrete-time processing of speech and music.

Course Prerequisite(s):

ENEE 620 and ENEE 630.

Topics Prerequisite(s):

Textbook(s)

Reference(s):

  1. Quatieri, Discrete-time Speech Signal Processing, Prentice-Hall
  2. Stevens, Acoustic Phonetics, MIT press
  3. Flanagan, Speech Analysis, Synthesis, and Perception, Springer-Verlag.
  4. Rabiner & Juang, Fundamentals of Speech Recognition, Prentice-Hall

Core Topics:

  1. Review of DSP (Chap. 2, Quatieri or Chaps. 6 & 7, Gold and Morgan)
    • Discrete-time Fourier Transform, z Tranform and Discrete Fourier Transform
    • Upsampling, Downsampling
  2. Speech Production and Acoustic Phonetics (Chaps. 3 & 4, Quatieri or Chaps. 10 & 11, Gold and Morgan)
    • Articulatory Phonetics, Acoustic Theory of Speech Production, Prosody
    • Vocal tract Modeling, Discrete-time Modeling of Speech Production
  3. Music Production (Chap. 12, Gold and Morgan)
  4. Auditory Perception (Chap. 14 & 15, Gold and Morgan)
    • Peripheral Auditory System
    • Psychoacoustics
  5. Speech Perception (Chap. 3, Quatieri or Chap. 17, Gold and Morgan)
  6. Signal Processing Techniques (Chaps. 5, 6 & 7, Quatieri or Chaps. 19, 20 and 21, Gold and Morgan )
    • Short-time Fourier Transform,
    • Linear Prediction Analysis of Speech
    • Cepstral Analysis of Speech
  7. Speech Analysis Tools (Chap. 10, Quatieri or Chap. 30, Gold and Morgan)
    • Pitch Detection, Formant Tracking
  8. Music Analysis
    • Pitch Detection, Feature Analysis for Recognition
  9. Speech Coding (Chap. 12, Quatieri or Chaps. 31, 32 & 33, Gold and Morgan)
    • Waveform Coding, Model-Based Coding, LPC Residual
  10. Speech Synthesis (Chap. 6, Quatieri or Chap. 29, Gold and Morgan)
  11. Music Synthesis (Chap. 32, Gold and Morgan)

Optional Topics:


Course Structure:

Grading Method:



| Dept. of Electrical & Computer Engineering | A. James Clark School of Engineering | University of Maryland |