Module CS5260SJ14 T

Duration

1 Semester

Turnus of offer

normally each year in the summer semester

Credit points

4

Course of studies, specific fields and terms:

• Master Computer Science 2019, module part, Module part
• Master Biophysics 2023, module part, advanced curriculum
• Master Entrepreneurship in Digital Technologies 2020, module part, Module part
• Master Biophysics 2019, module part, advanced curriculum
• Master IT-Security 2019, module part, Module part
• Master Computer Science 2014, Module part of a compulsory module, Module part
• Master Entrepreneurship in Digital Technologies 2014, module part, Module part
• Master MES 2014, module part, computer science / electrical engineering

Classes and lectures:

• Speech and Audio Signal Processing (lecture, 2 SWS)
• Speech and Audio Signal Processing (exercise, 1 SWS)

Workload:

• 20 hours exam preparation
• 45 hours in-classroom work
• 55 hours private studies

Contents of teaching:

• Speech production and human hearing
• Physical models of the auditory System
• Dynamic compression
• Spectral analysis: Spectrum and Cepstrum
• Spectral perception and masking
• Vocal tract models
• Linear prediction
• Coding in time and frequency domains
• Speech synthesis
• Noise reduction and echo compensation
• Source localization and spatial reproduction
• Basics of automatic speech recognition

Qualification-goals/Competencies:

• Students are able to describe the basics of human speech production and the corresponding mathematical models.
• They are able to describe the process of human auditory perception and the corresponding signal processing tools for mimicing auditory perception.
• They are able to present basic knowledge of statistical speech modeling and automatic speech recognition.
• They can describe and use signal processing methods for source separation and room-acoustic measurements.

Grading through:

• exam type depends on main module

Responsible for this module:

• Siehe Hauptmodul

Teacher:

• Institute for Signal Processing
• Prof. Dr.-Ing. Markus Kallinger

Literature:

• L. Rabiner, B.-H. Juang : Fundamentals of Speech Recognition Upper Saddle River: Prentice Hall 1993
• J. O. Heller, J. L. Hansen, J. G. Proakis : Discrete-Time Processing of Speech Signals IEEE Press

Language:

• offered only in German

Notes:

Last Updated:

08.03.2024