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Voice Biometric Authentication

Author : Marketing Team   | Follow us on LinkedIn:

15 Nov, 2022

The Ultimate Guide to Voice Biometrics

The international biometrics market is growing exponentially and is forecasted to reach $44.1 billion by 2026. Commercial sectors like banking, financial services, and insurance firms are implementing biometrics for cutting-edge security solutions. Biometrics boosts security by using human genetics and habits as distinctive identifiers. Faster and safer identification systems have been developed over time with rapid technological advancements.

For user identification, people are shifting to biometric recognition like voice biometric solutions. Voice recognition biometrics have surpassed all other security measures in terms of keeping track of employee attendance and addressing the problems of online and offline fraud.

 

Image Source:- CXTODAY

Before we move further to understand more about voice recognition biometrics, do check out our blog on why contactless biometric attendance systems are so necessary nowadays.

What is Voice Biometrics?

The method of using a person’s voice as a distinctive biological aspect to authenticate them is known as voice biometrics. Voice biometrics enables individuals to use their own voices as passwords rather than using traditional passwords, which may be forgotten or insufficiently secure. Voice authentication is an automatic biometric authentication that allows users to access online services utilizing speech.

Voice characteristics are used for authentication in a variety of ways, including mobile device identification, chatbots, telephone re/authentication with business call centers, and IoT (Internet of Things) devices. Humongous advancements in neural network technology over the previous two to three years have made it possible to create voice biometric algorithms that are faster, more accurate, and able to authenticate users with a limited amount of speech. In many use cases, ID R&D is more acceptable than a 4-digit PIN’s accuracy.

How Does Voice Biometrics Work?

To begin the voice biometric recognition process, voice input is recorded from the person whose voice identity needs to be stored in the system. A sample of the person’s voice will be used to create an initial template. The biometric voice authentication system enrolls a person based on these sample templates or prints. This initial template is known as an enrollment template or enrollment voiceprint.

The template is a mathematical representation of the person’s voice and is proprietary to the voice biometrics system. These templates are highly secured and cannot be interpreted without the secret algorithm provided exclusively by the vendor. Further in the process, the original voice recordings are discarded, and a template is utilized for checking the person’s voice for authentication purposes.

The identity of the speaker can be confirmed only if a strong match is found between the templates and the input samples. This is known as the one-to-one match approach, which is incorporated between the enrollment voiceprint and someone claiming to be the enrolled person. There is another type of voice recognition known as one-to-many. In order to find a match, this method compares a voice sample from an unknown identity against a number of enrollment templates. This is known as speaker identification, although the accuracy of this method varies depending on the application and has some limitations.

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How Secure is Voice Biometrics?

In the era of contactless authentication, voice recognition biometrics is gaining popularity as for identifying and authorizing people. With an increase in demand for voice biometric solutions, security has also increased significantly. Artificial intelligence and advanced technology have helped businesses, organizations, and government agencies establish high-security protocols. Additionally, it has provided space for criminals and offenders.

One of the greatest advancements in artificial intelligence, machine learning, and neural networks is voiceprint technology. It is a technology that uses algorithms to recognize a customer’s particular vocal patterns. Following a successful voice verification, the customer is granted access using voice biometric technology. However, the system won’t permit access to his or her personal information if there is a difference of just 0.01%. Therefore, voice biometrics in banking is very useful for security reasons. But how accurate is voice biometrics?

It is critical to understand that no biometric technology is 100% accurate. The technique to evaluate the accuracy of a voice biometric system is an equal error rate. EER is the point where the “False Acceptance Rate” or “FAR” (i.e., letting a fraud through) is equal to the “False Rejection Rate” or “FRR” (i.e., rejecting access to the right user). Given that voice biometric scoring systems rely on statistical probabilities, it is important to weigh the pros and cons of these errors.

Pros and Cons of Voice Biometrics

Businesses all over the world are being significantly impacted by voice biometric systems. However, it has the following pros and cons:

Pros:

Speed: A user can speak instead of having to type long accurate passwords on the keyboard.

Access: Being able to speak commands and transcribe words into a text document is a big help for writers who have physical limitations.

Efficiency: Users must be able to keep up and authenticate instantly as password complexity varies in the workplace. Voice biometric system makes authentication quick and easy.

Cons:

Environment: When recording an individual’s distinctive voice, loud background noise is not ideal. It’s mandatory to record initial level enrolment in a quiet environment.

Hardware support: For voice biometrics to work on any device, hardware with a microphone is a must.

Training: Set-up and training can be a substantial investment of time. Therefore, patience and precise enunciation are a must.

Applications of Voice Biometrics

The way we communicate and authenticate in the digital age impacts a variety of consumer and business applications. Due to its reliable fraud-mitigation features, voice biometrics has been gaining popularity. Compared to other biometrics technologies, voice biometrics scalability and user-experience benefits have increased adoption across a wider range of applications.

Fraud prevention: Deploying voice biometrics can deliver higher security than traditional PINs and passwords. The use of voice for authentication and verification is reliable, simple to implement, and requires the least amount of hardware.

Healthcare services: Voice biometrics adds an extra layer of security for applications used in the healthcare industry, especially those involving patient management, and electronic health records.

Public services: Applications in the public sector use voice biometrics to verify caller identity. Allowing applicants to authenticate over the phone allows them to avoid traveling to the government office, cuts down on in-person wait times, and boosts back-office effectiveness.

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Final Thoughts

Financial companies are constantly looking for better technology to protect their users and uphold the reputation of their trademarks. Enterprises have evolved into high-tech hubs that are accessible far beyond brick-and-mortar. They are trying to combat potential fraud and data theft attempts. In order to guarantee stability and reliability, businesses are switching to a robust security system.

To provide a seamless authentication experience and secure data, businesses should aim at leveraging the latest technological advances such as biometric voice authentication systems. It’s among the safest and most effective methods of authentication, particularly for organizations that handle large amounts of sensitive data and information that is vulnerable to fraud. In addition to providing strong security, voice biometrics contribute to establishing a smooth UX and an increased rate of productivity.

 

If you’re wondering how much biometric security systems cost, click here to read our guide on the price range of different biometric technologies.

 

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