Chair of Complex and Intelligent Systems
Research and Projects

Research and Projects

ZAM: Zero-resource keyword recognition for Audio Mass-Data

To process mass audio data captured by a range of diverse sensors, technical solutions within the field of keyword recognition shall be investigated. It shall be shown which approaches simplify, accelerate, and optimise audio analysis as well as optimise manual work processes.

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Deep Learning Speech Enhancement

The research target of this project is to develop state-of-the-art methods for speech enhancement based on deep learning. The aim is to overcome limitations in challenging scenarios that are posed by non-stationary noise and distant speech with a potentially moving device and potentially limited power and memory on the device.

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RADAR-CNS: Improved quality of life for persons with depression, epilepsy and multiple sclerosis

RADAR-CNS: Improved quality of life for persons with depression, epilepsy and multiple sclerosis

The international research team, which includes University of Passau scientists, aims to develop new ways of remotely detecting and observing depressive disorders, epilepsy and multiple sclerosis using mobile computer systems and smartphone technology with the objective of improving patients’ quality of life and breaking new ground in the treatment of these and other illnesses.

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EngageME: Researchers train sensitive robots for autistic children

EngageME: Researchers train sensitive robots for autistic children

Robots can be better than humans at teaching social skills to autistic children. Researchers from Passau and Cambridge, Massachusetts develop novel machine learning methods to sharpen the senses of the robots in therapies.

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DE-ENIGMA: Robot teaches emotions to autistic children

DE-ENIGMA: Robot teaches emotions to autistic children

Humanoid robots are already successfully used in the treatment of children with autism. The project DE-ENIGMA tries to lift the interaction between humans and machines to a new level. The new technology will enable more personalised and effective therapies than previously realised.

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iHEARu: Computer-based human speech analysis

iHEARu: Computer-based human speech analysis

One speaks with smartphones or call services on a daily basis. Researchers at the University of Passau decisively promote a technology of enhancing automatic speech and speaker recognition by adding social factors.

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SEWA - developing methods for automatic behavioural analysis

SEWA - developing methods for automatic behavioural analysis

How consumers feel: An international research team helps computers interpret human behaviour and emotional reactions of humans. The envisioned technology will yield methods for the automatic analysis of behavioural cues such as mood, affinity and empathy.

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MixedEmotions: Measuring Users' Emotions in Big Data

MixedEmotions: Measuring Users' Emotions in Big Data

An international research team develops a multimodal analysis software, which can be used to analyze the feelings of users in "big data". Its efficiency will be demonstrated in social TV, Brand Reputation Management and Call Center Operations.

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