SoniControl
(21.06.2017)
Förderjahr 2016 / Projekt Call #11 / ProjektID: 1701 / Projekt: SoniControl

We have compiled a set of ultrasonic audio recordings of different mobile apps including Google Nearby-based apps. Since ultrasonic sound is inaudible we have made the sounds visible (by computing spectrograms) and audible (by shifting their pitch to the audible range). The entire dataset can be downloaded under “Ressources” on the SoniControl webpage.

Matthias Zeppelzauer

Profile picture for user matthias.zeppelzauer
Matthias Zeppelzauer is a senior researcher at the Institute of Creative\Media/Technologies at St. Pölten University of Applied Sciences (Austria) since 2013. He received his PhD in Computer Science from Vienna University of Technology in 2011 with highest distinction. His research focuses on multimedia signal processing and machine learning. He is an active member of the research community and acts as a reviewer for numerous high-impact conferences and journals. Matthias received several performance scholarships from the Vienna University of Technology and was awarded by the Austrian Computer Society for outstanding achievements in the area of pattern recognition. He is currently leading the NetIdee Project "SoniControl" which focuses on the development of a privacy preserving app for mobile devices that notifies and blocks ultrasonic tracking information. Recently, he got a second NetIdee Project "SoniTalk" funded which is focusing on the establishment of a secure and privacy-oriented protocol for ultrasonic communication.

Skills:

Data Science
,
Audio Signal Processing
,
Machine Learning
,
Pattern Recognition
,
Data Mining
,
Computer Vision
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