Students possess advanced knowledge of speech and voice recognition, their qualities and relationships. They are suitably qualified for the competent application of these disciplines to solve practical problems.

Fundamentals of digital speech processing, characteristics of speech signals, recognition of single terms, phrases and continous speech, voice recognition, applications in speech processing, lab experiments.

Continuous assessment (based on regular written and/or oral contribution by participants).

Continuous assessment (based on regular written and/or oral contribution by participants).

Vorlesungsfolien, Bücher RABINER, L. R., JUANG, B. H., Fundamentals of Speech Recognition. Prentice Hall, Englewood Cliffs NJ, 1993. RABINER, L. R., SCHAFER, R. W., Theory and Applications of Digital Speech Processing. Prentice Hall, London, 2011. QUATIERI, T. F., Discrete-Time Speech Signal Processing, Prentice Hall, Upper Saddle River NJ, 2002. SCHUKAT-TALAMAZZINI, E.G., Automatische Spracherkennung. Vieweg, Braunschweig, 1995. SCHENK, J., RIGOLL, G., Mensch-Maschine-Kommunikation. Springer, München, 2010.