Teach with MATLAB and Simulink

"Digital Speech Processing"

Digital Speech Processing

Course Materials Include Access to:

  • Syllabus
  • Lectures
  • Assignments
  • Speech files and MATLAB files
  • Project suggestions
  • 60+ MATLAB DSP apps and webinar

Digital Speech Processing
By Professor Lawrence Rabiner
Electrical & Computer Engineering
Rutgers, The State University of New Jersey

This course covers the basic principles of Digital Speech Processing (DSP). Topics include acoustics of speech generation, perceptual criteria for digital representation of audio signals, signal processing methods for speech analysis, waveform coders, vocoders, linear prediction, differential coders (DPCM, delta modulation), speech synthesis, automatic speech recognition, and voice-interactive information systems.

Supplemental content includes more than 60 DSP MATLAB apps designed to give students and instructors hands-on experience with digital speech processing basics, fundamentals, representations, algorithms, and applications. A webinar is also available to describe the set of speech processing apps and show how they can be used to enhance the teaching and learning of digital speech processing.

Access free courseware for Digital Speech Processing from Rutgers, The State University of New Jersey.