Author
D. Kolb
Bio: D. Kolb is an academic researcher. The author has contributed to research in topics: Scrambling & Voice activity detection. The author has co-authored 1 publications.
Topics: Scrambling, Voice activity detection
Papers
More filters
10 Jun 2012
TL;DR: This article considers various analog voice scrambling techniques such as fixed frequency inversion, splitband inversion and rolling code scramblers, explaining how to break them using automatically extracted measures and scoring algorithms, and evaluating the proposed system using simulated data.
Abstract: Voice scrambling is widely used to add privacy to the radio communication of various authorities — but is also used by criminals to evade prosecution. In this article, we consider various analog voice scrambling techniques such as fixed frequency inversion, splitband inversion and rolling code scramblers. We explain how to break them using automatically extracted measures and scoring algorithms, and evaluate the proposed system using simulated data. While the simple inversion can be easily broken, the more advanced techniques require additional work prior to unsupervised automatization; the presented user interface allows the user to refine the automatic results to obtain a high quality solution.