Voice Biometric & Why it is important?
Well, it’s not just your mom or your loved ones who can identify you with your hello now. Your voice is now digitized data that any computer equipped with a voice recognition system can identify and authenticate your identity for you.
Today, as search for secure systems, convenience, and ease of operations are being researched, voice is the latest human characteristic to be included as a biometric i.e. the physical and behavioral human trait that can be converted as digitized data to identify and use for authenticating the person’s identity.
Voiceprints like fingerprints have a uniqueness that is absolutely distinctive and advancement in this field. It not only deciphers your voice but distinguishes between different acoustic features of your voice to create that unique stamp for recognition.
Records are accessed by doctors from their homes while checking patients on house visits or patients calling for information, insurers checking on the phone, or virtual personal assistants providing patients on hones or on the internet of things prove to be a challenge.
Thus reliable and secure encryption to protect data and a simple and effective electronic authentication and identification is necessary especially in countries like the UK & the USA that have stringent regulations and require the adoption of state-of-the-art technologies to function online.
It is important to note that voice recognition has innate limitations. Our inability to control the factors that control input systems like noise levels, a person’s physical condition like cold or bad moods that result in voice variation, and thus poor results in identification does not make it a distinctive solution. Hence it’s often not recommended for large-scale implementation.
Today, as search for secure systems, convenience, and ease of operations are being researched, voice is the latest human characteristic to be included as a biometric i.e. the physical and behavioral human trait that can be converted as digitized data to identify and use for authenticating the person’s identity.
Voiceprints like fingerprints have a uniqueness that is absolutely distinctive and advancement in this field. It not only deciphers your voice but distinguishes between different acoustic features of your voice to create that unique stamp for recognition.
The need to know your voice
Niche and high growth business sectors like telemedicine are some of the best examples of the growing need for voice recognition. It is observed that technological developments in healthcare pose new challenges in maintaining the security and confidentiality of health data.Records are accessed by doctors from their homes while checking patients on house visits or patients calling for information, insurers checking on the phone, or virtual personal assistants providing patients on hones or on the internet of things prove to be a challenge.
Thus reliable and secure encryption to protect data and a simple and effective electronic authentication and identification is necessary especially in countries like the UK & the USA that have stringent regulations and require the adoption of state-of-the-art technologies to function online.
The importance of voice recognition
Voice recognition is also important because of the advantages it provides to businesses online and as a method for user authentication on mobile, IoT, and other wearable devices. It’s well suited as a biometric authentication across a wide range of IoT devices including wearables, PC gaming systems, smart TVs, fixed lines, and automobiles. It’s a natural fit for mobile authentication It is a popular choice for mobile authentication due to the availability of high-quality devices for collecting speech samples and one can easily integrate it into flagship smartphones. Above all, it’s unparalleled in recognition and matching.Advantage Voice Recognition
Reduction in cost
Voice recognition is a cost-effective and flexible choice when compared to other biometric solutions used for secure authentication. With automated access and the use of other voice recognition options, businesses save huge investments in call centers to cater to their customers. This results in the need for lesser equipment, lower staff, and smaller offices, saving overall cost to an organization – without compromising customer service. Cost is definitely one of the biggest advantages of voice recognition.Rise in call volumes handled
The need for voice recognition is higher when the call volumes are high. This system stores client information quicker, deal with clients faster, as speaking directly rather than having to type out your need is easier and quicker and thus helps you handle larger volumes of business calls increasing the bandwidth to serve more customers with speed in the same period of time.Better Call Segmentation
Voice recognition helps you segment calls better and direct them to the right department increasing efficiency in service and reducing wait time and adding customer delight. For eg, billing queries need not queue up at customer care and technical support can avoid customer service to effectively serve more customers with higher efficiency.Flexibility
It is important for businesses to reach out to their customers and employees alike across different means. A Voice recognition system could help streamline and store information to cater to such flexibility. With this files could be retrieved and stored through mobiles, fixed lines, and even emails.Customer Delight
Voice recognition solutions not only help companies function efficiently but help delight customers. With this solution now every phone-based support not only gains respite from long waiting queues, the wrong department connections, and delayed live agent support; but voice recognition has enabled them to directly pay bills, retrieve information on demand, improve customer service and significantly impact business.It is important to note that voice recognition has innate limitations. Our inability to control the factors that control input systems like noise levels, a person’s physical condition like cold or bad moods that result in voice variation, and thus poor results in identification does not make it a distinctive solution. Hence it’s often not recommended for large-scale implementation.