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Voice Biometrics

for reliable protection of
business and customer data Request a demo

Increase the overall security level and prevent fraud, decrease risks of insider attacks, and implement more effective authentication systems for their customers and employees.

Voice biometrics

Benefits
for the business and customers

Voice identification

Turn voice into the ultimate security tool

Increase efficiency

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.

Improve user experience

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%.

Manage risks

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.

PROJECT STAGES

Only 4 weeks to launch the project needed

System components
Features

Omnichannel Hub or Media Server

• CISCO CUBE

• Avaya AES

• Asterisk

• Genesys

• Freeswitch via MRCPv2

CRM with access to customer personal information

After voice screening the following attributes are shown:

• Recognized customer voice

• Recognized as imposter

• Insufficient data

Biometric Authentication Engine

Unique technology developed by Neuro.net

Voice verification

Match pre-recorded voice samples with the caller's voice to identify the user.

Voice identification

Recognize the customer during the problem-solving conversation using an AI-based algorithm.

Continuous inbound/outbound voice authentication

Perform verification both for inbound and outbound calls.

Voice-based liveness detection

Get the solution that is impossible to bypass with the pre-recorded voice sample. Distinguish a record from a live person's voice.

Voice activity detection

Accurately detect voice activity with an equal error rate (EER) below 2%.

Speaker change detection

Instantly detect the speaker substitution and block suspicious log-in attempts.

Voice anti-spoofing and synthetic speech detection

Ensure that the voice presented is not a recording or synthesized speech.

ANI black list & ANI spoofing detection

Quickly assess and validate whether you can trust the ANI or caller ID.

Gender, age recognition

Detect age and gender with high accuracy.

Advanced voice recognition on small speech length

Verify and authenticate the caller even on a small number of phrases.

Mobile / Smartphone app authentication

Combat unauthorized access with the advanced system on mobile or smartphone app.

Fraud detection

Automatically whitelist voiceprints of regular users and blacklist voices associated with the confirmed fraud attempts.

Industries

Ready to speed up the ID verification process using your own secure system?

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