Whitelist voiceprints of trusted users and blacklist voices associated with the confirmed fraud attempts. Protect your customers and your business.
Use Voice AI to speed up authentication and make the process more user-friendly.
Save time and money in your everyday omnichannel communication with the customers using a personalized system by either authenticating before they reach the agent or while helping the customer.
Always be aware of who you are talking with and spend more time on personalized messages for your customers.
Use voice-fueled employee validation for internal processes.
Make your company stand out as the most innovative one using modern technologies to optimize business processes.
Neuro.net voice biometrics technology is based on Text Independent Engine with a typical error rate (EER) below 2%. The algorithm uses voiceprints to produce unique identification for every individual, using physical and behavioral factors. These include pronunciation, emphasis, speed of speech, accent, timbre.
The AI automatically analyzes the person's voice calling the contact center in less than 20 seconds and matches it with the pre-recorded voiceprint. While the person describes his or her problem, the system conducts automatic verification that reduces the time spent on this task by 66%.
For the contact center usage, the system can update the CRM's customer profile assigning the corresponding flags. For example, red is a recognized imposter, and green is for the verified customer. If there is not enough data for the system to decide on the caller's security level, it can run additional verification by asking more custom questions.
No records are needed to beta-test the technology. Recommended speech length for enrolment: 20+ sec, for verification - 7+ sec
Marrying all three components within one platform after identifying:
• API to CRM system
• MRCP to Media Server
Internal functional testing for recognition errors
• Human agent
• Virtual agent
• Mobile (in-app)
Freeswitch via MRCPv2
After voice screening the following attributes are shown:
Recognized customer voice
Recognized as imposter
Unique technology developed by Neuro.net
Match pre-recorded voice samples with the caller's voice to identify the user.
Recognize the customer during the problem-solving conversation using an AI-based algorithm.
Perform verification both for inbound and outbound calls.
Get the solution that is impossible to bypass with the pre-recorded voice sample. Distinguish a record from a live person's voice.
Accurately detect voice activity with an equal error rate (EER) below 2%.
Instantly detect the speaker substitution and block suspicious log-in attempts.
Ensure that the voice presented is not a recording or synthesized speech.
Quickly assess and validate whether you can trust the ANI or caller ID.
Detect age and gender with high accuracy.
Verify and authenticate the caller even on a small number of phrases.
Combat unauthorized access with the advanced system on mobile or smartphone app.
Automatically whitelist voiceprints of regular users and blacklist voices associated with the confirmed fraud attempts.
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