AI Voice Recognition

If you are familiar with virtual assistants such as Alexa, Cortana, Google Assistant, and Siri, you already know about voice recognition and conversational AI. The technology allows users to explain themselves verbally to a computer or a device.

Combining popular voice recognition technologies with conversational AI opens the door for incredible potential in the enterprise space. Here’s everything you need to know about what is possible today…

There is a fevered race currently underway to underpin voice and speech recognition technology as the dominant interaction paradigm in the smart home market. Companies like Google and Amazon have invested heavily in voice hoping to make their respective smart assistants as integral to our lives as personal computers and smartphones.

Just as Google’s search algorithm revolutionized the consumption of information and upended the advertising industry, AI-driven voice computing promises a similar transformation, not just at home but in the enterprise space as well. The spread of this technology is only expected to grow as new services and smart home devices become more readily available and advances in artificial intelligence are already making impressively futuristic applications a reality.

A benchmarking report from Cognylitica recently found that voice assistants still require a lot of work before even half of their responses are acceptable - due, in part, to early voice recognition programs being only as good as the programmers that wrote them. But things are getting better. Thanks to permanent connections to the internet and data centers, the complex mathematical models that power voice recognition technology are able to sift through huge amounts of data that companies have spent years compiling in order to learn and recognize different speech patterns.

They can interpret vocabulary, regional accents, colloquialisms and the context of conversations by analyzing everything from recordings of call center agents talking with customers to thousands of daily interactions with a digital assistant.

In this article, we will address the specifics of how the technology works in relation to conversational AI, as well as the challenges and our recommended approach for integrating voice recognition technology into a virtual agent.

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