Voice AI technology

Since the launch of Siri in 2011, the world of voice AI technology is entering into new fronts, exploring what has been kept in the shadow for a very long time. No one thought that voice AI could become the core of search and commands. But in the 21st century, it has blown up all other technology and rushed to the top. To everybody’s surprise, experts say that this is just the tip of an iceberg and we have far more hidden capabilities, which need to be unravelled. They also suggest that the future of voice AI technology might hold the key to a new level of digitization without the usage of keyboards.

Researchers have been working on voice AI for a long time now. But its actual real-world implications and biggest developments in usability have been made only in the past decade. Voice AI connects humans and machines through communication. It also paves the way for next-generation human-computer interaction. By availing voice AI technology, humans can effectively talk with computers and convey our needs or command them to carry out tasks. With the help of continuous connectivity between people and machines, voice AI becomes even more intelligent and responsive. The future of voice AI technology will eventually lead computers to think like humans. Some of the already existing voice AI products are smart speakers, smartphones, virtual assistants, AI-powered transcriptions, and voice tech applications in diverse industries. Remarkably, what we have so far in the market is just a slice of the cake. The future of voice AI technology is anticipated to unravel innovative trends in the tech sphere. It has the potential to change the world of the human-computer interface as we know.

Moving from TouchPoints to VoicePoints

So far, when we use the famous search engine Google, we often stick to type-based search. Although voice search is available, not everybody is used to engaging in it. However, despite the suppression among the public, voice search is still a hot topic in the tech sphere for the futuristic capabilities it holds. Unfortunately, streamlining voice search on the search engine has its own set of challenges that needs to be addressed.

If you have used voice search previously, you might be aware that it doesn't always transcribe your words to sentences as you say. When there is disturbance around, voice AI technology struggles to grab the content. Therefore, visibility of voice is undoubtedly a challenge that companies are working on to solve. Besides, search through voice assistants like Alexa, Siri, and Cortana are also expected to go up with voice AI development. The future of voice AI technology will experience a shift in which touchpoints are transforming to listening points, and organic search will be the main way in which brands have visibility. 

Deploying Voice AI to Take Orders

Voice AI in the commercial industry is anticipated to take away repetitive tasks from humans and instead engage them in high-impact, creative endeavours. For example, ordering food at drive-in restaurants could be made easy with voice AI. But before streamlining the service, the company should make sure that the model has tolerance to other noise and can segregate the actual order. Technically speaking, conversational AI taking order and processing it is quite easy. Customers can just go through the menu and place the order to an AI-based chatbot. But on the downside, we have other challenges including the noise from the outdoor environment like background conversations, honking noise, and speaker sounds. 

Besides, not everybody has the same dialect when they speak in a language. An American’s English might be very different from a South Korean. Therefore, before employing voice AI at work in such critical situations, researchers should ensure that they are capable of combating these issues.

Taking Lead from Previous Interactions

One thing that makes machines different from humans is the way it uses its intellect. Behind every AI model’s intellectual capability, a human reside. But it is very different for people. We learn through experience. We didn’t directly frame a sentence after learning how to talk, rather we observed the situation around us and tried to frame a word, then a sentence, then consecutive sentences. However, voice AI has a different way to learn and understand human speech. They are just fed with the input of human speech to make them capable. Unfortunately, that doesn’t ensure voice AI technology to be well-versed in human conversations. Besides, their replies can also be vague at times. Therefore, the emerging trend will link voice AI with the cloud to ensure that it grasps more content about the speaker, which could make it easy for machines to come up with relative answers. The chatbots could get contextual information from a user’s profile, previous interactions, and other data and use it to frame highly intelligent responses.