AES 5th International Conference on Automotive Audio

Automotive scenarios are some of the most challenging for audio deployments. Engine and tyre noise, wind, and poor acoustic dynamics of vehicle cabs all contribute to pollute the listening experience - nevermind trying to hold a clear and intelligent phone conversation. Combating these challenges means that advanced audio algorithms need to be developed, increasingly using AI and ML techniques.

These advanced audio algorithms are valuable. Valuable in terms of the revenue they can generate; and valuable in terms of how intellectual property can underpin a company’s worth. Many organizations have been built on the value of their audio algorithms.

The unfortunate truth is that valuable algorithms are targeted by hackers and unscrupulous competitors alike. They are looking to gain from the developers’ hard work. Algorithms are reverse engineered to learn their secrets, or simply lifted wholesale and used in unlicensed deployments.

In this tutorial, PACE Anti-Piracy will share its 35 years experience of protecting software intellectual property, discussing the risks of reverse engineering, and providing practical steps you can take to protect your algorithms. Protecting your algorithms ultimately protects the value of your business.

Presenters: Stefan Irrgang, Joachim Schlechter and Stephan Schönfeld