Automated Tuning Project
ArmorVox uses machine learning algorithms to tune the background voice print models to match its production environment. This ensures that optimal results are achieved for all types of speakers on all types of channels, allowing a more accurate and secure result.
Speaker Specific Threshold and Speaker Specific Background Models (Patented)
ArmorVox uses machine learning algorithms to allow clients to set specific thresholds per user or use case. With this option, clients can set security settings to set a baseline security or audit a singe user’s security levels if deemed not strong enough. This ensures a consistent level of security for every user every time.
Active Learning (Patented)
ArmorVox™ uses machine learning algorithms to continually learn from each user interactions. By enabling active learning, ArmorVox™ is able to improve voice prints for each individual user, allowing a more secure and accurate verification. This also helps improve the performance of ArmorVox™ over time across all channel implementations.