Welcome to the Institute for Human-Machine Communication! 

Professor Dr.-Ing. habil. Gerhard Rigoll

We focus on novel techniques for an intuitive and natural interaction of humans with all types of computers and computer-controlled systems and machines. Our main comptetences and research interests are charted in the research section. The courses, seminars and labs we offer are listed in the courses section.

Associated Institute: Audio Information Processing (AIP)

Professor Dr.-Ing. Bernhard U. Seeber

We investigate the information processing in the human auditory system and use this knowledge to improve hearing devices and audio systems. Our research focusses on signal coding for neuronal prostheses (cochlear implants), on the analysis of acoustic scenes and on modern techniques for sound reproduction via multiple loudspeakers.

Associated Group: Machine Intelligence & Signal Processing (MISP)

PD Dr.-Ing. habil. Björn W. Schuller

Our research focuses on the development and evaluation of innovative methods in the field of Machine Intelligence together with modern Signal Processing algorithms. Application domains in the context of Human-Machine Communication and Media Retrieval include intelligent processing of speech and language, music, video, and physiological data.

Associated Group: Visual Efficient Sensing for the Perception-Action Loop (VESPA)

Dr.-Ing. Michael Dorrr

We study visual processing in humans and develop novel methods in human-machine communication and machine vision. Of particular interest is the serial sampling of dynamic natural scenes by eye movements. Applications can be found e.g. in clinical settings.

Postal address
email address
+49 (0)89 289 28541
+49 (0)89 289 28535
Theresienstraße 90
Building N1, ground floor
Site plan building N1
TU München
Arcisstraße 21
D-80333 München

 News & Events 

Winner of the 2nd `CHiME' Speech Separation and Recognition Challenge (Track 1) and Best Paper Award on the CHiME Workshop, Vancouver, Canada, June 1st 2013 -> certificate

Winner of Best Poster Award on ISMAR, Atlanta, Georgia, USA,
November 5-8, 2012 -> certificate

A novel background segmentation method, which is currently #1 on the change detection challenge: "Background Segmentation with Feedback: The Pixel-Based Adaptive Segmenter", CVPR, Providence, Rhode Island, USA, June 16-21, 2012, Project page and source code

CMC Best Paper Award (2nd place) for "Combined Face and Gait Recognition using Alpha Matte Preprocessing" in Intern. Conf. on Biometrics, New Delhi, India, March 29 - April 1, 2012 -> certificate

Practical engineering and practical research experience

Additionally to our student theses we offer now also topics for
practical engineering / practical research experience.
Contact Person: Martina Römpp


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