Conversational AI isn’t new, the technology has been for decades. IBM introduced such technologies in 1961 with IBM Shoebox. It was the first digital speech recognition tool recognising 16 words and 9 digits. The development of the technology continued and better versions surfaced with the vision to offer greater experiences to modern-day customers.
These people take technology as a strong solution for their everyday needs. For instance, the conversational AI is a boon for those who are not good with grammar or they can’t efficiently express their wishes or needs through their writing skills.
There are endless benefits of a ground-breaking voice technology, but how this technology earned recognition repeatedly will also be interesting to know. We should move further to know its mechanism.
Voice AI, a part of Conversational AI that runs on voice commands, has offered multiple memorable experiences to its users on various occasions. Siri, Alexa, and Google Home are some typical examples of conversational AI that makes the life of its users easier, and better. These sought-after devices have gained popularity in recent times for their seamless operational intelligence. Undoubtedly, its applications are varied and distinct, but knowing its working framework at first would be a good way to proceed further in this article.
Voice AI- It’s Working Module
Before proceeding to its working module, learning the goals for the development of Voice AI would make it more interesting to consume further information. Voice AI has been created to interpret and respond to users’ commands significantly. The achievement of goals has been explained through its interpretation and response mechanism.
The interpretation and response mechanism are programmed in the following 6 steps:
Understanding the language and commands of users
The first step begins with understanding the language and commands of users. This is a critical strength of the technology, as users may speak varied languages, i.e. a product empowered by Voice AI has its first aim to cater to customers speaking varied languages. Voice AI does it easily with natural language processing (NLP), automated speech recognition (ASR), and natural language understanding (NLU).
Removing background noise
Background noise ruins a conversation and compels one to end it on an unpleasant note. For an effective understanding of commands, the background noise must be on mute. Voice AI filters out unnecessary words and eliminates the noise from the message. Thus, a proper response becomes possible for each command.
Neural processing
A command processing works in fragments, and neural networks make it happen. A fragmented speech is easy to respond to, and this is where neural networks, i.e. a group of algorithms, understand the relationship between data points. The input data is broken into smaller fragments and they are analysed to match with the best available option for the command.
Applies syntactic and semantic techniques
Application of syntactic and semantic techniques works parallel with neural networks. Here, AI understands the grammatical complications of the command/input data. Most people speak with grammatical nuances and thus interpreting the input data could be troublesome. Semantic techniques clarify every grammatical error of the command and ensure the command has been responded to properly.
Assessing response
After assessing the command, the AI carefully brings out suitable solutions and filters the response that best matches the query.
Responding to the user
Lastly, the final choice is offered to the user. Conversational AI working on the text-to-speech technology converts the response to audio format and delivers exactly the same what has been asked by the user.
This is how automated Conversational AI makes the best use of the technology to make things easy for the users in their everyday life. It’s the actual use of machine theory, making the life of users serene.
Moving ahead, we should see the applications of Voice AI. Here are two of them-
Smart Home–
“Do more with Google Home”. This is the Voice AI product of Google that allows its users to make their homes smart and many other things inside the premises. If you love integrating your home with the latest technology, there are several Voice AI products that make your home smart, and everything accessible on the tip of your finger. Google Home uses Google’s embedded, mobile and automation tools.
Customer Support
Voice AI devices deliver exceptional experiences and an easy-to-use interface for the users. Automated voice calls are an asset for call centres as they reduce the loads on the executives.
According to Voice Command study 2030, 30% of e-commerce sales will come via voice searches by 2030. Technology has changed customer preferences over the years, and Voice AI would help customer-centric businesses in the future.