Signal optimization – free of background noise

Make use of our specialist expertise and let us develop software and hardware for you to improve your acoustic signals – for audio signals with real added value.

Audio Signal Enhancement

Signalprocessing and signalenhancement of speech and audio signals are among the main strengths of the Division Hearing, Speech and Audio Technology (HSA). Tasks include the optimization of disrupted signals as well as the development of recording and processing technologies. This allows audiological data to be used for acoustic sensors even in a challenging environment, such as intense ambient noise. Apart from the enhancement of audio and speech signals, the localization of sound sources as well as automatic speaker recognition are key research priorities for the IDMT in Oldenburg.

In security applications, relevant sounds can be separated from less relevant ones by reducing background noise in preparation for acoustic monitoring. Specific examples are the recognition of breaking glass or the use of spray cans for combating break-ins and vandalism, but also the detection of drones. The reduction of background noise is a fundamental element of solutions in the area of speech recognition and voice control, for example in smart home applications or conference systems.

In addition, the design of personal hearing systems is enhanced through the individual reduction of the level of reverberation according to personal preferences, automatic volume regulation and the personalized adjustment of high and low signals. Both manufacturers of audio system equipment, multimedia devices or hearables as well as users with normal or impaired hearing profit. The localization of sound sources is a technology also used, for example, in the automotive sector for recognizing the direction of approaching emergency vehicles.

Our services

Single-channel and multi-channel signal processing for application-based sound adjustment

    Processes for echo and background noise reduction

    Directional filtering (beamforming) for the systematic recording of relevant audio data

    Localization for detailed analysis of ambient noise

Microphoning and signal preprocessing

Embedding of signal processing in existing infrastructures

Integration of signal processing in mobile applications and new service models

Evaluation studies, e.g. technical evaluation of systems available on the market

Speaker Recognition

Products and Solutions

 

Miniatur-Mikrofonarrays

Hardware-Design für unterschiedlichste Bauformen

 

Intelligent Acoustic Sensor Nodes

Easily integratable sensor platform for capturing and processing acoustic data in sensor networks.

Current Research Projects

 

Press Release / 14.6.2016

Industrie 4.0 learns how to hear

In the joint project ACME 4.0, partners from industry and research will investigate the potential of acoustically monitoring machines and production processes. The goal is to develop an energy-autonomous, highly-integrated sensor platform that can be integrated wirelessly in industrial installations.

 

Dereverberation and reverberation of audio, music, and speech

In the Marie-Curie Initial Training Network »DREAMS (Dereverberation and Reverberation of Audio, Music, and Speech)«, Fraunhofer IDMT develops signal processing strategies designed to remove reverberation components.

 

Acoustic monitoring in Smart Cities

Insight into our Research

In the research project EarIt Fraunhofer IDMT developed an acoustic processing unit, that can easily be integrated into existing cable-based or wireless sensor networks.