Acoustic Sensor Networks Research Group


This Research Unit investigates solutions and limitations for acoustic signal processing and classification over coustic sensor networks. We aim to tackle current shortcomings and to develop a common platform which will make ASNs more adaptive to the variability of acoustic environments and sensor configurati­ons, less dependent on supervision, and at the same time more trustworthy for the users. This will pave the way for a new class of applica­tions that combine advanced acoustic signal processing with semantic analysis of audio. The project objectives will be achieved by adopting a three-layer approach treating communication and synchronization aspects on the lower layer, signal extraction and enhancement on the middle layer, and acoustic scene classification and interpretation on the upper layer. To carry out those tasks we will blend advanced statis­tical signal processing with machine learning techniques. Our project will pioneer a generic, versatile framework for wireless acoustic sensor networks. This framework supports several classes of acoustic applications, both state-of- the-art and emerging ones.

Key Facts

Project duration:
01/2017 - 12/2023
Funded by:

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Principal Investigators

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Prof. Dr. Reinhold Häb-Umbach

Communications Engineering / Heinz Nixdorf Institute

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