Voice Biometrics for Better Consumer Experience
Voice Biometrics Market
has gained prominence due to the requirement of evidence safety methods based
on technology and devices which prevents hampering of critical information. In case
of the voice biometrics, the username and password is inadequate, as it can be
hacked and used falsely. For the fraud detection, biometrics identification is considered
the best technology.
As the identity theft is still a concern
and the subsequent need for steadily helping customer’s access data, voice
biometrics is considered one of the best answers to the on-going experiments
and for the security of the customer data. This technology is considered one of
the convenient methods of verification to be done through voiceprints, or a
two-factor authentication process, which is a combination of information the customer,
knows which can be a password or PIN or has a cell phone with a caller ID, or may
be a credit card also. It provides an extra coat of security for delicate
information and financial transactions.
Global Voice Biometrics Market (2018-2024) | KBV Research |
WHAT
DO WE UNDERSTAND BY VOICE BIOMETRICS?
Voice biometrics is said to be in frequent use
of voice recognition which is done by analysing individual’s speech, tone, voice
and pitch. As per the security terms, it has an advantage over passwords, which
means that passwords can be traced or taken over easily. Just because the voice
of anyone is as distinctive in itself as compared to a fingerprint.
With this technology, anything said by a
person is stored by a refined system and is compared with the previous stored
voice. All of this is happening at the time while a person is talking. To identify
a person with voice is a tough task. But this happens because the voice can be
influenced by several factors, which can be either physical or behavioural. This
voiceprint is an algorithm driven and this further generates a voiceprint which
is a mix of different calculations. This behavioural and physical feature
provides an extraordinary digital representation.
WHY
DO WE NEED VOICE BIOMETRICS?
Voice biometrics authenticates a user based
on numerous vocal structures for example hand geometry, harmonics, range and pitch,
etc. In an ideal world this certification exercise is nearly not possible but it
is extremely accurate when performed. Furthermore, the reasons which define the
need for these devices are mentioned below:
Security
& Accuracy: Voice biometrics is reliable, provides
accurate imitation and perfect authentication to technical developments made
such as microphones and handling power both in mobile devices and servers.
Spoofing and hacking keeps the application to encounter replay attacks and decrease
unauthorized access.
Privacy: Server confirmation engines offers control to facilities and the
data stored by the service provider. For the consumer, the confirmation technology
allows them to maintain control over the biometric identifications, and
protecting the privacy by eliminating the necessity in allocating the sensitive
information to servers.
Cost: Voice biometrics is a total cost-effective method as it
diminishes the condition of any hardware investment made by the user. In order
to decrease the added cost, the microphones can be easily used in mobile
phones, tablets or PCs.
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TYPES
OF VOICE BIOMETRICS:
Face Recognition: Face recognition is a
part of voice biometric application which validates an individual based on the digital
image and then comparing the patterns generated. This unique type of biometric is systems.
Nowadays, the facial recognition system is working with face prints and hence these
systems identify up to 80 nodal points on a human face.
Iris Recognition: Iris recognition is another
crucial method of identifying individuals based on sole patterns in the area of
ring shape surrounding of the pupil of an individual’s eye. Normally, the iris of
an individual has a unique pattern like blue, brown, green or grey colour which
can be inspected only with a close inspection.
Fingerprint Recognition: Fingerprint
Recognition includes captivating a fingerprint image of an individual and additionally
records the features for example minutiae, whorls, furrows and arches. For
matching the fingerprints, there are three ways which is minutiae, correlation and
ridge.
ADVANTAGES
OF VOICE BIOMETRICS:
Maximized
Security and Lower Fraud: The number of attacks all
over the industries has enlarged the requirement for unique verification. Various
PINs and security related queries, which consists of voice biometrics clearly
identifies that the person calling is certainly the right one.
Reduces
Costs: The companies on an average decrease the Average
Handle Time by 30+ seconds on each and every call for individual verification. This
means not only there is an increase in efficiency in security procedure,
but also there is increase in cost savings methods in association with the less
time taken by agents in validating the customers.
Improved
Customer experience: Another advantage for using
the voice biometric is that it captures the potential to improve customer involvements.
With the adoption of voice biometrics, the callers are not required to share
passcodes or PINs or answers questions just for verification of their originality.
TO
CONCLUDE:
Voice Biometrics Market is becoming
prominent owing to a wide range of factors. This is a technology with the help
of which human ears can differentiate voices, however, voice biometrics can differentiate
the voices that are undistinguishable to individual ears. Voice biometrics considers
numerous measures to create a voice print and identifies where it further diverges.
Many enterprises worldwide controls voice biometrics to remove fraud,
unauthorized access, theft and protect their customers. With the adoption of remote
identification, particular voice biometrics is felt, with the effective voice
biometrics verification the user might not notice that he or she has gone
through voice verification. Furthermore, the Global Voice Biometrics Market
size is expected to grow at a market growth of 22.7% CAGR during the forecast
period.
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