course: Master Seminar Speech and Pattern Recognition

number:
143163
teaching methods:
seminar
responsible person:
Prof. Dr.-Ing. Do­ro­thea Kolossa
Lecturers:
Prof. Dr.-Ing. Do­ro­thea Kolossa (ETIT), Dr.-Ing. Steffen Zeiler (ETIT)
language:
german
HWS:
3
CP:
see examination rules
offered in:
summer term

dates in summer term

  • kick-off meeting: Friday the 05.04.2019 from 10:00 in ID 2/232

Exam

Form of exam:seminar
Registration for exam:Directly with the lecturer
continual assessment

goals

In this course, current research topics in the field of speech and pattern recognition are considered in more detail and presented by the participants. Throughout the course of a semester, the students prepare a half-hour lecture on a current journal or conference article and present it in the seminar. Possible topics include, for example, robust and audiovisual speech recognition, EEG analysis and multimodal biometrics.

content

The seminar not only teaches technical knowledge, but also the principles and rules of presenting a talk are discussed and practiced. Each participant will be able to prepare and give a presentation that is well structured, understandable and interesting. Furthermore, all participants will discuss technical topics appropriately.

requirements

keine

recommended knowledge

Basic knowledge of digital signal processing and statistics

materials

announcement:

literature

  1. C. M., Bishop "Pattern Recognition and Machine Learning", Springer Verlag, 2006