Research Area

Acoustic Monitoring

For many years we have been teaching computers to hear.

Our intelligent algorithms analyze audio and vibration signals and recognize specific sounds and acoustic scenes in real time - just like humans do.

Using the latest methods of artificial intelligence, our algorithms can learn by themselves and react to changes independently. In addition, we can predict the probability of future events (predictive modeling), make an important contribution to decision-making processes and thus increase efficiency.

Our acoustic monitoring systems are used in a wide range of applications.

Use cases & Projects

Optimization of Industrial Processes

  • Production/Machine Monitoring: Monitoring of industrial plants to track production processes and detect deviations. Projects: BASF, MAHMAMT
  • Predictive Maintenance: Detection of wear and tear and early warning of faulty functions. Projects: OMV, VOEST
  • Industrial quality assurance: Monitoring of the product quality in the manufacturing process.


Crédit: iStock

Traffic monitoring

Monitoring of traffic events and detection of critical situations.

Projects: AKUT, SIMMARC, Hi-Moni, Visa, Atimo


Surveillance in Public Spaces

Monitoring and alerting in the event of vandalism and situations endangering safety in public areas.

Projects: Graffiti Buster, Aggression detection, Gunshot detection, Vandal

Crédit: Pixabay

Drone detection and localisation

Acoustic detection and localization of unmanned flying objects (e.g. drones) to protect buildings and areas.




Acoustic sensor technology and integration

We develop application-specific acoustic sensor systems for the detection of airborne sound and vibrations. Depending on the requirements, we select the best acoustic sensor technology. This ranges from laboratory and industrial sensors to highly integrated and cost-efficient MEMS sensors.  We develop microphone arrays for focused and targeted recording. These microphone systems consist of several individual microphones and enable to detect the exact position of one or more sound sources in the room. Furthermore, it is possible to track moving sound sources. The newly developed sensor technology PyzoFlex, which made it possible to print wafer-thin vibration sensors using screen printing, is used in special acoustic applications.


Crédit: JOANNEUM RESEARCH/Bernhard Bergmann

Acoustic Interaction systems

Language is the most natural form of interaction for humans. Due to current technical advances in artificial intelligence, language interaction systems are employed in many areas such as production or logistics. We use modern speech processing technologies such as automatic speech recognition, speech synthesis and natural language understanding (NLU) to design application-specific speech interaction systems. This allows developing systems to communicate and interact with machines or robots via speech.

Furthermore, we have extensive expertise in the fields of interaction design and user studies. Here we develop human-centric approaches for natural interaction paradigms and test and optimize them in user studies for usability and user satisfaction.

Crédit: JOANNEUM RESEARCH/Bernhard Bergmann