{"id":58026,"date":"2021-03-17T07:00:09","date_gmt":"2021-03-17T06:00:09","guid":{"rendered":"https:\/\/www.clickworker.com\/?p=58026"},"modified":"2023-04-24T11:01:18","modified_gmt":"2023-04-24T10:01:18","slug":"voice-biometrics-in-enterprise-security-systems","status":"publish","type":"post","link":"https:\/\/www.clickworker.com\/customer-blog\/voice-biometrics-in-enterprise-security-systems\/","title":{"rendered":"The Role of Voice Biometrics in Enterprise Security Systems"},"content":{"rendered":"

\"Voice<\/p>\r\n\r\n

Artificial Intelligence (AI) has been around for decades. However, we didn’t reap its true benefits until recently. With chatbots, voice bots, and more, AI is now a force to be reckoned with. \r\n<\/p>\r\n\r\n

When we think of AI-based voice systems, we think of voice-based assistants Alexa and Siri. These voice assistants engage in Internet searches, switch lights on and off, play music at our homes and just make life a little easier. However, speech recognition isn’t the same as voice biometrics. <\/p>\r\n\r\n\r\n\r\n

What is Speech Recognition?<\/h2>\r\n\r\n

Speech recognition is focused on understanding the meaning of what we’re saying. That’s why we can ask questions like, “Hey, Alexa, what’s the weather forecast today?”. In this scenario, smart algorithms will understand the question and then search for an answer using a search engine (just like us!).<\/p>\r\n\r\n\r\n\r\n

Tip: \r\nmulti-faceted and needs-specific audio datasets for speech recognition training<\/a> can be simply ordered at clickworker.<\/blockquote>\r\n\r\n\r\n\r\n

As such, some people have already integrated voice assistants<\/a> into their daily routine. So it makes sense that AI-powered voice-based solutions will also enter the workplace, enhancing the cooperation between human and machine<\/a>. <\/p>\r\n\r\n

According to Gartner, as much as 70% of white-collar workers<\/a> will engage and interact with conversational platforms by next year. This means that voice-based smart systems are rapidly getting more sophisticated. This year, Gartner expects 25% of digital workers<\/a> to use virtual employee assistants on a daily basis. This is especially great for those working remotely from home in the \u201cnew normal\u201d. <\/p>\r\n\r\n

What is AI-Based Voice Biometrics?<\/h2>\r\n

Voice biometrics concentrates on who’s talking and not necessarily what they are saying. It’s essentially a tool used to establish a person’s identity. In this scenario, AI and ML algorithms study the user’s unique vocal characteristics and compare them to established patterns.<\/p>\r\n\r\n

With voice biometrics, you can measure a person’s non-visual characteristics for security and authentication with 90% accuracy. These non-visual vocal characteristics include the following:<\/p>\r\n

Notable financial services institution that leverage voice biometrics for authentication and telebanking include:<\/p>\r\n