Spoken Language Processing

Course content

After successful completion of the module, students will be able to classify time series (e.g., speech signals) using hidden Markov modeling. The students acquire all the necessary knowledge to suitably select, design, and evaluate methods and algorithms for automatic speech recognition to solve problems in practice.

  • Basics of speech production and perception
  • Feature extraction
  • Hidden Markov models
  • Acoustic models and language models
  • Automatic speech recognition
  • Spoken language systems

Course information

Code 2424087 + 2424097
Degree programme(s) Electrical Engineering, Industrial and Electrical Engineering, Electronic Automotive Systems, Automotive and Aerospace Systems, Media Technology and Communications, Computer Science, Computer and Communication Systems Engineering, Data Science
Lecturer and contact person Prof. Dr.-Ing. Tim Fingscheidt
Type of course Lecture and seminar
Semester Winter semester
Language of instruction English
Level of study Master
ECTS credits 5