Voice Risk Analysis & GDPR

The ground-breaking Voice Risk Analysis (VRA) technology at the heart of Digilog's Solution performs a variety of mathematical calculations to extract various data parameters from each voice frequency segment. It then uses several highly innovative algorithms to produce a powerful computerised analysis of speech flow in real-time. The VRA technology is able not only to reveal signposts to genuine statements but also to potential risk, uncertainty, excitement, inaccuracy, and more. The pre-existing stress levels (which can vary considerably) of each individual customer are always taken into account via a short calibration conversation before a VRA evaluation is applied.

The technology works by identifying an initial 'base level' within a customer's voice in answers to questions that the VRA user knows are genuine – and measures the remainder of the conversation against this level.

The technology does not keep any record of the unique customer baseline or frequency nor obtain any identifiable data that can connect the specific voice frequency to the subject being analysed. Furthermore – the system cannot identify a customer nor it understands what has been said. It is pure frequency changes it is monitoring and therefore, unable to be used as a 'profiling' tool.

None of the frequency samples taken during the analysis are kept in the system at any stage.

Sample of GDPR/Data Protection notices used by companies in the EU & Ireland:

Example 1:

I need to advise you that the call will be recorded for training and quality purposes and that we use Voice Risk Analysis technology as one of a number of techniques to assist in the analysis and processing of our policies.

Example 2:

I must advise you that, in order to comply with data protection legislation, all our calls are recorded and analysed for the purpose of fraud prevention and detection and may be reviewed later to check the details you have given.

Example 3:

In order to comply with data protection legislation, please be aware that this call will be recorded and analysed using techniques and technology for the purpose of fraud prevention and detection, for training and quality assurance, and may be reviewed later to check the details that you have given.

Example 4:

In order to comply with data protection legislation, I must advise you that this call will be recorded and analysed using various tools and techniques for the purpose of fraud prevention and detection, training, and quality assurance.