A Comprehensive Guide To AI Bots With Voice In 2025

Kenyt.AI
December 17, 2024

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Introduction

Our earliest interactions with AI bots with voice were for simple assistance around our home, such as with Alexa, Siri, or Google Nest smart home devices. Voice bots are not only limited to personal assistance but are finding increasing applications in various industries for customer support or hyper-personalized searches.

With increasing advances in AI technology, such voice bots are improving with Generative AI, which is finding widespread application across various industries.

Reports show that 77.8% of American consumers make product inquiries using their smart speakers. Consumer expectations have shifted in recent times. They expect personalized experiences promptly, which provides them with solutions accurately. Moreover, the chances of contamination due to touch have been a major concern worldwide during and after the pandemic.

Voice commands provide a safe way to search, navigate, and access various services. Additionally, enhanced with an advanced large language model, AI bots with voice, excel at interacting naturally with humans. They exceed expectations in the natural language processing function to perform impressively with text generation, speech accuracy, responding to queries, and more.

This blog will explore more about AI bots with voice by understanding their working, their different types, features, and benefits. So, first, let’s start to understand what a voice bot actually is.

What is an AI bot with voice?

AI bots with voice are AI-powered software assistants that use conversational AI to engage and interact with users.

AI voice bots are leaps ahead of automated IVR systems as they can understand users’ voice inputs and respond naturally in a conversational tone.

AI voice bots use conversational AI and machine learning to comprehend and extract contextual meaning behind the phrase and provide an appropriate response.

Interestingly, they are capable of understanding and responding in multiple native languages, which is revolutionary and has added to their widespread application in various industries and operational stages.

Must read: The Impact of AI Voice Assistant Interfaces on Daily Life

How does an AI bot with voice work?

An AI bot with voice taps into its capabilities of natural language processing, natural language understanding, and voice recognition to understand human voice commands. It follows a step-by-step process to respond to any user query;

1. Input capture: When an AI bot with voice receives user commands, it uses speech recognition technology to capture the user’s input in the original spoken language.

2. Decipher input: After receiving the user input, the AI bot comprehends the meaning behind the phrase using natural language understanding, natural language processing, sentiment analysis, and deep learning. It deciphers the user intent, retrieves user-specific information, and understands the context to frame a logical and satisfactory response.

3. Response formation: After analyzing the user input through various techniques and use cases, it creates a range of possible responses appropriate for the context. It needs to narrow the most appropriate response for the query.

4. Text-to-speech: Deep learning techniques enable the bot to understand sentence phrasing along with the relationship of words with their specific accents, pitch, tone, or rhythm in a sentence. Accordingly, the AI bot with voice transcripts its text response into speech appropriate to a user query.

What are the features of an AI bot with voice?

Following are some of the voice bot features it must possess to interact fluently and naturally through dynamic conversations.

Personalization

Recently, personalization has been key to customer success as users want responses specific to their concerns and not a generalized solution.

An AI bot with voice takes this personalization to the next level with tailored solutions for the users. Instead of navigating through unclear and time-consuming IVR, a voice bot promptly accepts users’ queries, figures out an appropriate solution, and provides responses in a natural human-like conversational manner.

The conversational nature of the voice bot provides confidence to the user that even though they are talking to a system, it is much more intelligent, empathetic, and responsible for offering a solution promptly.

Call transfer

A voice bot should be capable of swiftly connecting users with human agents when the situation demands or if the users like to share concerns only with them.

AI agents are an aiding hand to human agents and are not meant to replace them while serving the users. So, a swift call transfer is a necessary feature in a voice bot.

Continuous learning

Human language is an intricate art, which is ever-evolving through the generations. To understand and respond to human languages accurately, a voice bot should learn continuously and refine its understanding.

Continued learning through accurate statistical probability and data from past interactions allows an AI bot with voice to improve its comprehension and fluency of human languages.

Contextual understanding

Human communication and social behavior are sometimes not straightforward and may involve a lot of underlying meaning. One of the toughest tasks for an AI agent is to understand the contextual meaning behind a phrase.

A voice bot should be able to navigate this labyrinth of human communication and engage users with its fluency.

Speech recognition

The ability to detect a human language is the first step of human-computer interaction. There are multiple dialects and accents to a language that create differences in how words are spoken.

Accurately recognizing a language with its distinct dialect and accents will enable an AI bot with a voice to connect with the user and engage them. Hence, speech recognition forms an important feature for a successful bot to possess.

What are the different types of AI bots with voice?

Numerous AI bots with voice based on their functions and language interpretation. Some of the most common AI bots with voice are;

• Rule-based
• AI-voice bots
• Conversational AI agents
• Voice-activated AI assistants

Rule-based voice bots

A rule-based voice bot is the simplest form of AI with a voice that performs functions based on a pre-determined set of questions and rules. They have limitations in performing various functions and fail to engage in a conversational tone.

For example, when we call a hospital for an appointment, we may be attended to by a voice bot, which provides us with options to book an appointment, choose a specialist, or speak with an executive. These questions are pre-defined through a set of rules for the bot to perform in response to a user query.

AI voice bots

These sets of voice bots are enhanced with the power of AI to perform a range of functions. They harness the power of natural language processing (NLP), machine learning (ML), and intent recognition for better contextual understanding while interacting with users. The most common examples of AI voice bots are Apple Siri, Amazon Alexa, and Google Assistant.

Conversational AI agents

Conversational AI agents are more advanced AI bots that can perform natural human-like conversations with minimal human interference. They use natural language understanding, language processing, and machine learning to engage in human-like conversations. Additionally, they can express courtesy, empathy, humor, or joy to interact in a human-like manner.

Voice-activated AI assistants

Such voice bots use AI and natural language to interact with users on practical questions and assist them in daily tasks. They are much more advanced in recognizing a user-specific voice to perform designated tasks effortlessly. Advanced AI systems are designed as personal assistants tagged to the user’s voice, ensuring heightened security and personalization in performing tasks.

Benefits of an AI bot with voice

Some of the significant benefits of an AI bot with voice are;

Hands-off operations

AI bots with voice are extremely handy for users with disabilities. By using voice commands, disabled users can seamlessly navigate various device operations and functions. Their advanced conversational features allow them to derive contextual understanding and recognize the user's intent to address their concern with minimum delay.

Scale up business

Human agents are limited in their ability to handle two or three chats at a time; voice bots offer a scope to scale up business by handling a large volume of calls simultaneously.

Voice-authentication

AI voice bots can remember and recognize specific user voices to personalize their responses and functions for each user. It adds a layer of security in accessing specific functions by a user. With enhanced security and customization, voice bots offer a secure atmosphere to access functions that provide peace of mind.

Multilingual support

Advanced AI bots with voice can interact in multiple native languages. It is advantageous for businesses offering services globally. Users can interact in their native language with confidence and without the challenges of vocabulary to explain their concerns to a voice bot clearly. Ease of interaction with voice bots for customer support can greatly improve customer experience.

Reduce human dependency

Voice interactions have a great impact on improving customer satisfaction while resolving customer queries. Due to their interactive nature, which removes awkward delays and inconsistencies in answering queries, voice bots reduce the need for human intervention for common queries. It reduces the burden on human agents, who can focus their time on strategic activities.

Wrapping up

AI bots with Voice are a milestone in AI advancement. They are changing how we interact with machines to perform various functions and daily tasks. With the help of natural language understanding, natural language processing, machine learning, and voice recognition, they have improved customer engagement, home security, and access to entertainment.

With continued evolution in AI technology, our future can witness more sophisticated interactions with voice bots. Voice bots can not only improve customer engagement but, they are competent to drive innovation in diverse industries.

AI bots with voice are efficient tools for businesses to improve their relationship with users. Using voice bots, companies can streamline operations and improve efficiency, leading to untapped growth potential.

Frequently Asked Questions

Is voice bot and voice chatbot the same?

No, a chatbot is an AI-powered program that interacts with users through text, while an AI bot with voice interacts with users through spoken language.

How do AI bots with voice improve customer engagement?

AI bots with voice are extremely efficient at seamlessly conversing with users. They are proactive in recognizing customer concerns and quick at responding. Unlike, an old IVR system, where the voice bot responds slowly with time delay, an AI-powered voice bot interacts with users near-human conversational capability. Such voice bots are trained on human behavior and understand to respond with empathy to calm an agitated user, reducing bad customer experience.

What are the common examples of voice bots in our daily lives?

Some common examples of voice bots are present in our daily used devices such as the Apple Siri, which assist users in accessing various functions on iOS devices. We are also aware of Amazon Alexa, which is integrated with our smart home devices to automate multiple activities around our home. Google provides smart home services through its Google Nest devices, which are again voice-activated bots operating various devices in a home.

About the Author

Nisha Sneha

Nisha Sneha is a passionate content writer with 5 years of experience creating impactful content for SAAS products, new-age technologies, and software applications. Currently, she is contributing to Kenyt.AI by crafting engaging content for its readers. Creating captivating content that provides accurate information about the latest advancements in science and technology has been at the core of her creativity.
In addition to writing, she enjoys gardening, reading, and swimming as hobbies.