Voice Biometrics

Also Known As: Speaker Recognition
Last updated
23 Jun 2023

Voice Biometrics uses the unique properties of a speakers voice to confirm their identity (authentication) or identify them from a group of known speakers (identification).

These unique properties are a function of physical (anatomical facts like the length of your vocal cord) and behavioural (the language you speaks, dialect and accent) characteristics. These different characteristics change the frequencies and rate of change of frequencies produced by speakers as they say different words and phrases.

How does it work?

Voice Biometrics systems create a template (or voiceprint) from one or more samples of a speakers voice captured during an initial enrolment and use this for comparison during subsequent sessions for authentication or identification. Generally, Voice Biometric systems are either text-dependent (also known as active), which require the speaker to say the same thing during authentication as during enrolment or text-independent (also known as passive) that don’t need the speaker to say the same phrase and are therefore more appropriate to conversational interactions.

Voice Biometric systems are probabilistic and therefore return results in the form of a probability that the current speaker is the previously enrolled speaker. Organisations implementing Voice Biometric systems must determine what an appropriate level of confidence is before using the authentication or identification resulting in their business processes.

How is it used?

Typical applications of Voice Biometrics in commercial organisations include self-service telephone applications, agent-based authentication, known fraudster detection in call centres, and remote employee check-in. Voice Biometrics can also be used for various purposes by law enforcement, public safety and national security agencies in the public sector.

Voice Biometrics and Speech Recognition

Voice Biometrics may also be known as Speaker Recognition (identifying who is saying something ), separate and distinct from Speech Recognition (identifying what is being said). As Voice Biometrics does not need to understand what is being said, just how it is being said, it is by definition language, accent and gender independent.

Learn More

You can learn more about Voice Biometrics by watching the Modern Security Community Video – Beginner’s Guide to Voice Biometrics: Transforming Call Center Security and Customer Experience

Related Terms

Popular Posts