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The Technologies Underlying AI Virtual Assistants


We have heard names, and even interacted with quite a few well-known virtual assistants such as Siri, Google Assistant, and Alexa. An AI virtual assistant, also called AI assistant, personal virtual assistants, or digital assistant, is an application program designed to understand natural human language and perform tasks for the user ranging from ordering food to making calls.

The Artificial Intelligence-Powered Virtual Assistant leverages the power of advanced Artificial Intelligence (AI), RPA, natural language processing, and machine learning to derive information and data from human conversation, plug-ins, customer metadata, geolocation, knowledge base, etc, subsequently understand them and then process them accordingly. According to Mordor Intelligence, the Intelligent Virtual Assistant market is expected to reach around $7 billion by 2026.

AI virtual assistants enjoy distinct advantages over conventional chatbots in a variety of ways. First and foremost, chatbots are trained to respond to a pre-set list of enquiries, whereas AI chatbots make use of AI, ML, AR/VR, and data science to provide dynamic responses and insights.

How Businesses Can Benefit from Virtual Assistants?

Today, almost all smart devices are equipped with virtual assistants. As such, the simple question is why cannot organizations use it to promote growth and sales. 

In fact, a large number of organizations have started investing in developing AI virtual assistants. The AI virtual Assistants can perform a lot of tasks such as expense tracking, adding events to calendars or setting up reminders. Statista estimates that by the end of next year, the number of digital voice assistants across the globe would reach 8 billion, almost equal to the earth’s population. 

Few important benefits offered by AI virtual assistants in organizational settings include:

Customized User Experience – The technology molds itself according to the users’ needs, thus offering a highly engaging and personalized user experience

Seamless Data Collection – AI virtual assistants can quickly process large amounts of data thus offering quick insights for better decision making. 

Better Customer Support – Virtual assistants can take care of customer queries thus freeing human resource to focus on tasks that need higher level of human assistance.

In the following section, we look closely at technologies backing AI virtual assistants, and how they are making conversational bots more advanced, capable, personalized, and sophisticated. We shall also see how a good AI development company with its team of expert engineers and developers can help build a personalized AI virtual assistant for better convenience, productivity, and cost-efficiency.

How Automatic Speech Recognition Works?

Automatic Speech Recognition (ASR) is integral to Conversational AI, as it helps the application understand the words spoken. Failure on the part of AI to identify and understand what a speaker is saying torpedoes the entire effort of speech recognition. 

·        The words spoken is converted into sound wave creation by the device

·        Volume normalization is used to cancel out background noise

·        Sound waves are then broken into phonemes, which are connected via analytical models to understand the words. 


Technologies Backing AI Virtual Assistants

Speech-To-Text (STT) And Text-To-Speech (TTS)

One of the common ways humans establish communication is through speech and texts. The chatbots can communicate like human with STT and TTS. STT is entrusted with the job of converting human speech to digital signals, while TTS does vice versa. These capabilities are responsible for ensuring smooth interaction between user and the application.

Computer Vision (CV)

Body language plays an important part of communication. CV is important part of Visual virtual assistants, which helps

convert speech to text. This is done using real-time face detection and speech recognition, which in turn is detected by lips and face movement of the concerned person.

Noise Control

These days smartphones and other devices like Bluetooth headphones have pre-built mechanism for noise suppression, but still there is no guarantee that background noise will not be captured. Integrating in-house noise control can negate chances of misunderstanding over voice commands which in turn will augment efficiency.

Speech Compression

First and foremost, there is a need for voice assistant needs to store the commands, which in turn demands temporary availability of storage space. Speech compression as the name suggest allows compress of commands, which in turn reduces space requirement. A word of caution here though. You must invest in a proper compression technology, as improper compression could impact the quality of commands.


Today’s customers demand quick, efficient and hassle-free service experiences irrespective of the industry or sector. To fulfill their expectations, technology is aiding the creation of better virtual assistants. Intelligent Virtual Agents can provide proactive recommendations based on self-learning algorithms, making them a useful tool for customers. A top provider of AI development services with requisite AI expertise can build intelligent chatbots for all your operational and business needs. They can blend Conversational AI Technology and Conversational Automation to help organizations drive change quickly 

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