The Human Voice Confers Identity

Barbara Schuppler and Martin Hagmüller are working on the human voice at TU Graz – from very different perspectives and with a particular focus on the female voice.
Barbara Schuppler and Martin Hagmüller are working on the human voice at TU Graz – from very different perspectives and with a particular focus on the female voice.
Falsified or disrupted signals from navigation satellites can have devastating effects on critical infrastructure. A tool from TU Graz helps to detect, analyse and plan preventive measures.
One topic, but a multiplicity of angles and perspectives.
Climate change is omnipresent.
And it is also having an impact on our cities.
Scientists at TU Graz are researching how urban
living spaces can respond to these changes.
TU Graz and Bundesimmobiliengesellschaft (BIG) lay the foundations for pioneering sustainable construction projects and for a flagship project in the form of an experimental building with…
Together with Jugend am Werk Steiermark, the Game Lab Graz at TU Graz has developed a VR application in which young people can get to know various apprenticeships better.
In a parcel hub, a wide variety of manual and automated work steps are interlinked, offering a great deal of potential for optimisation. TU Graz wants to unlock this potential by simulating complete…
Fast and reliable work in a parcel hub is an important piece of the puzzle for successful logistics. TU Graz is carrying out research into how a focus on satisfied and well-treated employees can bring…
An interdisciplinary research group at TU Graz is working on constructing logic circuits through the targeted arrangement of individual molecules. Artificial intelligence should speed up the process…
Repairable and exchangeable skeleton modules with open load-bearing structures enable different types of use and uncomplicated adaptations in the event of future changes. Building heights of up to 24…
With the “Graz corpus of read and spontaneous speech”, researchers at TU Graz have developed new methods for speech recognition of Austrian German using speech data from 38 people.
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