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How Conversational AI Handles Natural Conversation

Today, most people have heard AI (artificial intelligence) referred to, at the very least. They may not have a complete understanding of it, but they've heard of it. Where AI is concerned, one of the long-standing goals was to enable communication between machines and humans using natural language patterns, either by writing or speaking. With one another, the goal was (and is) to get them to be able to interact. In recent years, developments have made it so that conversational AI handles natural conversation. This includes machines understanding the nuances and meaning of human speech.

Day-to-day customer management with no human intervention is one of AI's applications. Machines can now make reservations, schedule appointments, handle customer support, etc. In fact, booked over the phone today are approximately one-third of all scheduled meetings/appointments. For conducting and automating natural phone conversations, AI is extremely important.

AI – The Goal

Do the creators and users of AI have a goal in mind? Currently, it is this: Make the conversational experience between a business and a customer comfortable and problem-free. But how do they do that? Answer: So the person on the phone doesn't have to adapt to a machine, they must be allowed to speak naturally. That, of course, means the machine must be able to understand them.

Natural Conversation – The Challenges

There are a lot of intricacies and complexities involved with human speech. Compared to the way we write, we talk very differently. Frequently, when humans speak, there is very often background noise, they don't stay on topic, they start and stop at will, they bend language rules, use a lot of words, or may have a regional dialect. As you can see, there are many challenges involved in an attempt to get AI to understand speech. Some of them are as follows:

  • Speech patterns
  • Wrong input
  • Unexpected stops/starts
  • Context 

How Natural Conversation Is Handled by Conversational AI

The whole point is to make machines learn, interact, and understand better where autonomous conversations are concerned. A voice AI engine must effortlessly respond to numerous conversations, understand the context of spoken language, and do so in the most natural possible way. It must…

  • Identify intent – Customers expect an outcome so it's important, in every conversation, to make sure the correct intent is identified. So AI knows how to move forward with the conversation, it must use its proprietary natural language comprehension.
  • Properly identify conversation – A customer wants to be understood even though they're speaking the way they normally would. Conversations can proceed in different ways, but each must be understandable, no matter how it is stated. Numerous conversation permutations are learned and contained within an AI system.
  • Comprehend – Directly from a customer's voice, conversation AI must be able to identify details simply by "listening" to the customer’s voice without a transcript. (Former models created text from voices. This was frequently unreliable and inaccurate.)
  • Understand nuances – Speech intricacies like pauses and holds will be observed, identified, and learned to help conversation sound more natural. 

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