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Instructors: N.N.
Event type:
Project
Displayed in timetable as:
MProj - SP
Hours per week:
4
Credits:
6,0
Language of instruction:
English
Min. | Max. participants:
- | 15
Comments/contents:
In this master project, the basics as well as current research questions in the area of signal processing - with a special interest on audio - will be presented and discussed. We will focus on the implementation of of state-of-the-art methods in the fields of signal processing and machine learning as well as the translation of these onto small and portable (i.e. "embedded") devices, to be able to use and test the implementations in practical scenarios. At last, we will use the implementations to analyses and evaluate strengths and weaknesses of the various methods. In the final presentation all algorithms should presented, e.g. running on an embedded system.
The list of problems includes (among others) the separation of a speaker from a source signal with multiple speakers and the extraction of a singing voice from a mixed music signal. Examples of demos for comparable algorithms can be found under
https://www.youtube.com/watch?v=_wPZ2l12C-o&list=PLdsnmRiYvouBbSj_wxZhthEiwVp6TfDKN .
Learning objectives:
- expanding knowledge in the area of signal processing and machine learning
- independently comprehending a scientific topic
- translating scientific knowledge into practice within a project
- improving scientific writing and presentation skills
- improving teamwork
Didactic concept:
First, an introduction into the topic of (audio) signal processing will be given and relevant scientific literature will be discussed. Then, the concrete scope and the goals of the project will be finalized and the students will draft and present a work plan with milestones. Periodically, while working on the project, status updates will be presented and the work plan will be adopted accordingly when necessary.
Literature:
Literature recommendations will be provided at the start of the project.
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