The ground-breaking Digital Intelligent Voice analysis (DiVA) technology at the heart of Digilog's Solution performs various mathematical calculations to extract multiple data parameters from each voice segment. It then uses several highly innovative algorithms to produce a robust computerised analysis of speech flow in real-time. The technology can reveal signposts to genuine statements and potential risk, uncertainty, inaccuracy, and more. The pre-existing stress levels (which can vary considerably) of each 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 DiVA 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 baseline voice changes it is monitoring and, therefore, unable to be used as a 'profiling' tool.
None of the customer's voice samples taken during the analysis are kept in the system at any stage.
Sample of GDPR/Data Protection notices used by companies in the UK and EU:
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.
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.
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.
In order to comply with data protection legislation, I must advise you that this call will be recorded and analysed using various tool and techniques for the purpose of fraud prevention and detection, training and quality assurance.