phy696 - Advanced Topics Speech and Audio Processing (Complete module description)

Attendance: 56 hrs, Self study: 124 hrs

Basic principles of signal processing (preferably successfully completed the course Signal- und Systemtheorie and/or Blockpraktikum Digitale Signalverarbeitung)

The students will gain in-depth knowledge on the subjects' speech and audio processing. The practical part of the course mediates insight about important properties of the methods treated in a self-study approach, while the application and transfer of theoretical concepts to practical applications is gained by implementing algorithms on a computer.

After reviewing the basic principles of speech processing and statistical signal processing (adaptive filtering, estimation theory), this course covers techniques and underlying algorithms that are essential in many modern-day speech communication and audio processing systems (e.g. mobile phones, hearing aids, headphones): acoustic echo and feedback cancellation, noise reduction, dereverberation, microphone and loudspeaker array processing, active noise control. During the exercises a typical hands-free speech communication or audio processing system is implemented (in Matlab).

J. Benesty, M. M. Sondhi, Y. Huang: Handbook of Speech Processing, Springer, 2008.;
P. Vary, R. Martin: Digital Speech Transmission, Wiley, 2006.;
P. Loizou: Speech Enhancement: Theory and Practice, CRC Press, 2007.;
S. Vaseghi: Advanced Digital Signal Processing and Noise Reduction, Wiley, 2006.;
S. Haykin: Adaptive Filter Theory, Prentice Hall, 2013.

Exam or presentation or oral exam or homework or practical report