Privacy-Aware Acoustic Assessments of Everyday Life

Bitzer J, Kissner S, Holube I. Privacy-Aware Acoustic Assessments of Everyday Life. J Audio Eng Soc. 2016;64(6):395-404. doi:10.17743/jaes.2016.0020

@article{Bitzer2016_18298,
  author = {Bitzer, Joerg and Kissner, Sven and Holube, Inga},
  title = {{Privacy-Aware Acoustic Assessments of Everyday Life}},
  journal = {Journal of the Audio Engineering Society},
  volume = {64},
  number = {6},
  pages = {395--404},
  year = {2016},
  month = jun,
  publisher = {Audio Engineering Society},
  doi = {10.17743/jaes.2016.0020},
  url = {https://doi.org/10.17743/jaes.2016.0020}
}

TY  - JOUR
TI  - Privacy-Aware Acoustic Assessments of Everyday Life
AU  - Bitzer, Joerg
AU  - Kissner, Sven
AU  - Holube, Inga
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 64
IS  - 6
SP  - 395
EP  - 404
PY  - 2016
DA  - 2016/06/06
DO  - 10.17743/jaes.2016.0020
UR  - https://doi.org/10.17743/jaes.2016.0020
PB  - Audio Engineering Society
LA  - en
AB  - In order to enhance people’s ability to interact with their acoustic environments, hearing devices are common tools. However, it is difficult to evaluate the benefit of those tools or to measure acoustically challenging situations in natural environments. This paper proposes a way to measure the most important features of everyday acoustics environments by extracting a limited set of features while not compromising the privacy of partners and bystanders. The respective national laws on how to deal with audio privacy are very different among countries. The authors proposed using a smartphone as the source recorder but splitting the feature extraction into two phases: an initial feature processing in the smartphone and a later processing on a more powerful computer. For a given feature set, a statistical analysis shows comparable results from the extracted data when using either the original audio or the new privacy-aware extraction methods. A comparison shows that different scenarios result in separable features using the new extraction method.
ER  -