Development of the Oldenburg Branch Hearing, Speech and Audio Technology HSA

News (German or English)

 

News / 21.3.2025

Jan Rennies-Hochmuth has been appointed professor at the University of Oldenburg

 

Pressemitteilung / 2.9.2022

Unterstützung für Oldenburger Gesundheitsforschung

Strategievereinbarung zum Ausbau der Fraunhofer-Standorte in Niedersachsen

 

Pressemitteilung / 28.8.2020

Audio- und Neurotechnologien »Made In Oldenburg«

Innovative Forschung und marktgerechte Lösungen im Rahmen der Weiterentwicklung

 

Pressemitteilung / 2.4.2019

Projektgruppe HSA soll Fraunhofer-Institut werden

Unterzeichnung des Memorandum of Understanding

More about us

Learn more about the Oldenburg Branch for Hearing, Speech and Audio Technology.

Logo Niedersächsisches Ministerium für Wissenschaft und Kultur
Logo Volkswagen Stiftung

Together with the Lower Saxony Ministry of Science and Culture (MWK), the Fraunhofer-Gesellschaft has developed an expansion plan for the Oldenburg Branch Hearing, Speech and Audio Technology HSA in order to transfer the working group into an independent Fraunhofer Institute for Hearing, Speech and Neurotechnology HSN. To this end, Prof. Reimund Neugebauer, President of the Fraunhofer-Gesellschaft, and Björn Thümler, former Minister for Science and Culture of Lower Saxony, signed a Memorandum of Understanding at the Hannover Messe on 2 April 2019.

In September 2022, the Oldenburg Branch HSA will receive a comprehensive financial package thanks to a strategic agreement for the expansion of Fraunhofer locations in Lower Saxony. This ensures a long-term perspective for the expansion of the location.

The further development of the Oldenburg Branch was funded from November 01 2019 until October 31 2025 by the Ministry of Science and Culture of the German State of Lower Saxony and the Volkswagen Foundation within the »Vorab« program.

Building on the existing work, the Oldenburg Branch for Hearing, Speech and Audio Technology HSA will be further developed. In particular, the areas of Connected HealthNeurotechnologyThe Hearing CarHSN4ProductionVoice Enabled Devices and Personalized Hearing Systems will be expanded and developed into a portfolio with unique selling points.

The Hearing Car

The Hearing Car focuses on AI-based technologies for acoustic event detection and methods and concepts for optimal signal acquisition in vehicles. Many events in road traffic are announced acoustically, such as an approaching emergency vehicle with its siren. Acoustic technologies on and in vehicles can be used to create innovative use cases in the areas of user interaction, quality assurance, predictive maintenance, communication, biometrics, and sensor-based vital data collection. Development focuses on detection and localization algorithms, sensor concepts for environment detection, predictive maintenance on vehicles, and algorithms for anomaly detection.

 

The Hearing Car

Fraunhofer IDMT in Oldenburg develops AI-based technologies for acoustic event detection as well as methods and concepts for optimal signal capture on the vehicle

Connected Health

In close cooperation with University Medicine Oldenburg, networked health applications for mobile and home use are to be researched and put into practice. Body and ear sensors for recording vital signs and health parameters without the use of extensive clinical medical infrastructure play a central role here, as does the use of language technologies for speech and language diagnosis and therapy. Examples include the recognition of calls for help, the detection of speech and voice disorders, acoustic monitoring and analysis of body sounds, and the detection of neurological diseases, as also investigated in the field of mobile neurotechnology.

 

Connected Health

The work area Connected Health dedicates its research and development activities to sensor-based health systems that can be deployed flexibly and without clinical infrastructure.

Voice Enabled Devices

The aim of “Voice Enabled Devices” is to create customizable system solutions in the field of speech recognition and voice control consisting of hardware/software systems, algorithms, optimization, and testing. The systems should consume little energy and act intelligently – especially in challenging application scenarios with loud ambient noise or multiple speakers. The targeted expansion of research and development capacities toward new AI-based, efficient, and locally operating speech recognition systems will create attractive offerings for both the consumer sector and industrial applications.

 

Speech Recognition for Products and Processes

Speech detection systems allow operation of technical systems without visual or physical contact.

Neurotechnologies

Building on excellent scientific preliminary work and in cooperation with Carl von Ossietzky University Oldenburg, this research area is working on the development and validation of EEG-based, multisensory systems for diagnostics and therapy for mental and neurological disorders, for example. The main goal is to explore the potential applications of mobile EEG systems in particular in various health-related scenarios and to create application-oriented solutions. Another area of focus is attention monitoring and the detection of cognitive load and its use, for example, in the analysis of safety-critical workplaces.

 

Mobile Neurotechnologies

The researchers are working on discreet EEG systems for the analysis of brain activity.

HSN4Production

The researchers are dedicated to developing new solutions for human-technology and human-human communication to improve safety and efficiency in production. One of the goals of this business area is to establish hearing, speech, and neurotechnologies as essential modalities in digitization and automation in Industry 4.0 in close cooperation with the University of Applied Sciences Emden/Leer.

 

Voice Control

Efficient and safe collaboration between humans and machines through robust voice control

Personalized Hearing Systems

“Personalized hearing systems” encompasses innovative solutions in various areas of application that aim to optimize the individual hearing experience. This includes measuring hearing effort, which is being developed specifically for media and broadcasting to enable objective evaluation and improvement of speech intelligibility. In addition, Fraunhofer IDMT offers personalized sound solutions for automobiles that create an individual sound environment and enrich the driving experience. The expertise also extends to the development of personal hearing technologies for hearables. Furthermore, the researchers optimize the sound in consumer devices through customized sound profiles.

 

Individual sound quality and good speech intelligibility

Everyone hears differently well

Projects from the development of the Oldenburg Branch

 

Analysis of drivers' attention in autonomous vehicles

Research on changes in vigilance with the help of EEG and other biosignals

 

Modular Audio Front End "AFEnext"

We create the technological basis for optimum audio recording and output – individually tailored to a wide range of application scenarios.

 

Automatic speech analysis

Based on machine learning, speech and voice pathologies should be able to be automatically evaluated and analysed.

 

Mobile complete EEG system for research and industry

As a research demonstrator, EEGbento is available for feasibility studies and evaluations.

 

Mobile multisensor system for sleep monitoring at home

We are working on a multi-sensor system close to the ear that records sleep behavior comfortably at home.

 

Automatic Screening

With the »Oldenburg Speech and Voice Test«, we want to set a new standard for the automated detection of speech and voice disorders.

 

Contactless health monitoring

The group »Mobile Neurotechnologies« is working on monitoring vital data: contactless, hygienic, and easy to set up.

 

Research platform for ear-related sensor technology

One platform - many possible applications. The SensOhr®-platform enables the near-ear detection of biosignals in various scenarios for research and development.

 

PhantomHead

Researchers develop an artificial head for EEG data acquisition to ensure reproducibility of recorded data.