Aristech proves successful in EU-funded research project GAMBAS



Travellers in foreign cities can relate to the question of whether it’s possible to reach closest bus station on time? When does the next connecting train leave should my bus be delayed? Is the next underground train going to be overcrowded again?

The international GAMBAS project, which includes Heidelberg based Aristech GmbH, answers these questions. Users will get information regarding their journey on their smartphone automatically and in real time.

The task of Aristech is to extract information about the users’ location and intended journey from ambient sounds and user behaviour in order to provide relevant additional information for their journey. One of the main objectives is to guarantee data security. Depending on users’ preferences, data will only be saved and processed locally on their phone.

Initially, Aristech has developed a tool that reduces audio signals so that they require minimal storage space while retaining all relevant information.  During the second phase, Aristech developed a so-called noisemap, which facilitates a categorisation of different surroundings based on ambient sounds. Additionally a resource efficient speech recognition kernel was developed that speech enables the device without the need for a server connection.

“Everyone is currently talking about the ‘internet of things’:  a close and permanent connection between man and machine is increasingly taken for granted,” says CEO Michael Mende. “It’s exciting to be working on a meaningful application that is bound to be very useful for people in diverse fields of application. Our knowledge of speech recognition technology gives us a huge advantage when it comes to recognising ambient noise.”

The goal of the GAMBAS-project is the development of an innovative and adaptive middleware. It enables applications to automatically adapt to their users’ behaviour. GAMBAS is a European research project, which is designed to run for three years after its beginning in February 2012. It’s being co-financed by the European Commission within the scope of the seventh Framework Programme for Research under the topic Internet of Things, Grant Agreement number 287661. For more information visit