Teaching

We teach in lectures, workshops and labs at RWTH Aachen, University of Bonn and B-IT. We are looking forward to receiving application letters from students who want to start or continue their professional careers in multimedia pattern recognition. Please check our open thesis offers below.

Courses

SS 2016 - Deep Learning for Multimedia Pattern Recognition

Deep learning has brought a strong leap forward in many pattern recognition applications. Optimists even see a fundamental revolution questioning the supremacy of human cognitive powers.

How does deep learning work? Is it indeed the revolution that some announce? What are its limits and how can it be applied for multimedia pattern recognition?

In this lecture, we will discuss both the theoretical basis of deep learning and numerous applications based on data from modalities like audio, image, and video.

More details are given in the blog.

Lecturer: Rolf Bardeli
Type:Lecture
Period: SS 2016
URL: http://s.fhg.de/deepmultimedia2016

WS 2015/2016 - Multimedia Analysis and Retrieval

In winter 2015/2016 Daniel Stein and I will give a hands-on lab course introducing techniques for analysis and retrieval of audio, image, and video data.

Lecturer: Rolf Bardeli
Type:Lab
Period: WS 2015/2016
URL: http://www.campus.rwth-aachen.de/rwth/all/event.asp?gguid=0x5AE30D656B1654449BC9385DFAE6543A&tguid=0x0B473CF286B45B4984CD02565C07D6F8

SS 2015 - Speech Technology

In summer semester 2015, Joachim Köhler, Daniel Stein and Tiansi Dong give a lecture course on speech technology. We will give a broad overview of the field with an emphasis on applications.

More information can be found in this blog.

Lecturer: Joachim Köhler
Type:Lecture
Period: SS 2015
URL: https://www.campus.rwth-aachen.de/rwth/all/event.asp?gguid=0xB50DCC689FC446458176EE734911AA14&tguid=0xBA76F399D1893541BFCF7CBC6BAFE455

SS 2015 - Machine Listening

Hearing, listening, understanding - these are increasingly complex aspects of acoustic perception. Every day, we encounter complex audio scenes and have surprisingly little difficulty understanding their contents. Our acoustic cognitive system performs spectacular tasks: following a particular speaker in a crowd, distinguishing different cars by their sounds and understanding where they are coming from. Even when we close our eyes, we still have an astonishingly good picture of our surroundings.

Can we reproduce such feats with a computer? Can we understand them algorithmically? These questions lie at the heart of machine listening.

More information is given in the blog.

Lecturer: Rolf Bardeli
Type:Lecture
Period: SS 2015
URL: http://www.campus.rwth-aachen.de/rwth/all_en/event.asp?gguid=0x0F67C77FBB8A204DB83B1AF1CF504142&tguid=0xBA76F399D1893541BFCF7CBC6BAFE455

SS 2014 - Speech Technology

In summer semester 2014, Joachim Köhler, Daniel Stein and Tiansi Dong give a lecture course on speech technology. We will give a broad overview of the field with an emphasis on applications.

More information can be found in this blog.

Lecturer: Joachim Köhler
Type:Lecture
Period: SS 2014
URL: http://multimedia-pattern-recognition.info/news-artikel/news/lecture-speech-technology-summer-semester-2014/

SS 2014 - Machine Listening

Hearing, listening, understanding - these are increasingly complex aspects of acoustic perception. Every day, we encounter complex audio scenes and have surprisingly little difficulty understanding their contents. Our acoustic cognitive system performs spectacular tasks: following a particular speaker in a crowd, distinguishing different cars by their sounds and understanding where they are coming from. Even when we close our eyes, we still have an astonishingly good picture of our surroundings.

Can we reproduce such feats with a computer? Can we understand them algorithmically? These questions lie at the heart of machine listening.

More information is given in the blog.

Lecturer: Rolf Bardeli
Type:Lecture
Period: SS 2014
URL: http://www.campus.rwth-aachen.de/rwth/all/event.asp?gguid=0xA66973A3B7AE764FA33D5CDD161F2658&tguid=0xDE4ACB7671116E46A9FF6E57080C52D1

2014 - Game AI

If you are interested in our massive open online course on game AI, please vote for it at

https://moocfellowship.org/submissions/game-ai

Lecturer: Christian Bauckhage
Type:Online Course / Lecture
Period: 2014
URL: https://moocfellowship.org/submissions/game-ai

SS 2013 - Speech Technology

In this lecture we give a broad overview of the field of speech technology including speech and speaker recognition, machine translation, dialogue system and retrieval applications.

The lectures will be given by Joachim Köhler, Daniel Stein and Rolf Bardeli

Lecturer: Joachim Köhler
Type:Lecture
Period: SS 2013
URL: http://www.campus.rwth-aachen.de/rwth/all/event.asp?gguid=0x1430E79BDB46AC48B1E76AFBF9648090&tguid=0x52DF76AB4F0BB84AB1CAEF0A89F08202

WS 2012/2013 - Lab: Developing Speech Processing Systems

Speech recognition continues to be a hot topic, especially with the growing amount of multimedia data containing speech and with mobile applications.

In this lab each participant will create an automatic speech recognition system from scratch and optimise it. A final competition will drive creative experimentation.

Lecturer: Dr. Daniel Stein
Type:Lab
Period: WS 2012/2013

Thesis offers

Please contact us for thesis offers.