Role of AI in Making Voice Assistants Smarter and More Human

Have you ever asked your smartphone's voice assistant to set the alarm or play your favourite song? If so, you’re part of a booming trend! The voice assistant market is on fire, with its value projected to leap from about $5.7 billion in 2023 to over $47 billion by 2032, growing at an impressive annual rate of 26.45%. Thanks to advancements in artificial intelligence, these digital helpers are now brighter than ever! They can understand context, learn your preferences, and tackle various tasks that seemed unimaginable just a few years ago.

So, what exactly are AI-based voice assistants, and how do they talk like us? In this guide, we’ll explore the inner workings of these fantastic tools, discuss their role and applications across several areas, and talk about the best AI voice assistants in 2024. Stick around to uncover all the exciting things!

What is an AI voice assistant?

What if you could have your very own personal butler at your command? That’s what AI voice assistants offer! These clever little tools, often called virtual or digital assistants, use artificial intelligence to listen to and understand your voice commands or text questions. They’re designed to help you with all sorts of tasks—from giving you information to managing your daily activities—simply by responding to your voice.

You’ll usually find these assistants built into smartphones, smart speakers, and other smart devices, making it super easy to interact with them. For instance, if you’ve ever asked your phone about the weather or created a shopping list by talking to your speaker, you’re already aware of its applications. It’s pretty neat how they can make life a bit easier by conversing!

It's Monday morning, and you're rushing to get ready. Suddenly, you realize you forgot to send an important message to your friend. Instead of typing, you simply say, "Hey Siri, send a message to Sarah: 'I’ll be 10 minutes late!'"

Later, while driving to work, you remember you need to pick up groceries. Without lifting your finger, you command, "Add milk and eggs to my shopping list." to your smartphone!

You’re curious about the weekend weather at lunch, so you ask, "Alexa, will it rain on Saturday?" Then, in the evening, while relaxing, you command, "Play my favourite playlist," and your speaker fills the room with your tunes.

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Types of AI-based voice assistants

1) Rule-based voice bots

Rule-based voice bots, also known as decision-tree bots, are designed to follow a set of predefined rules to guide conversations. Think of them like a flowchart: they predict what a user might ask and outline specific responses accordingly. These bots can't venture beyond their programmed scenarios, so they’re only adequate for situations in which they’ve been explicitly trained. One of their main advantages is reliability; since strict guidelines control the bot's behaviour, businesses can predict how it will respond in various situations. They’re also faster and cheaper to train than more complex bots that rely on machine learning. 

2) AI voice assistants

AI voice assistants offer a more personalized and efficient alternative to traditional systems like IVR. These intelligent virtual assistants use advanced technologies like natural language processing in voice assistants and automatic speech recognition to understand and respond to spoken queries in real-time, making the interaction feel like a conversation with a human. Unlike IVR systems that require customers to navigate through long menus or press buttons, smart voice assistants can save time by directly interpreting voice commands.

How do AI voice assistants work?

A voice assistant system works through sophisticated steps that convert spoken input into meaningful responses. It starts when the user says, and the system receives the audio. 

This audio is then processed by a Speech-to-Text (STT) component, which translates the spoken words into text by analyzing features like pitch, power, and vocal tract configuration. Then, an acoustic model and language model interpret the speech accurately.

Once the text is generated, the system uses decision-making algorithms to predict the best response based on the input. Finally, the text-to-speech technology (TTS) process takes over, converting the text into spoken words, often using advanced models that mimic specific voices. 

These combined processes allow smart voice assistants to provide seamless, human-like interactions. They are built on a robust architectural system integrating various tools for enhanced user communication.

How does AI make voice assistants sound so human-like?

Thanks to sophisticated AI technologies underpinning their functionality, human-like voice assistants have evolved significantly from their early days. Natural language processing in voice assistants is at the heart of this evolution, which helps these assistants comprehend and interact using human language. Here’s a breakdown of the critical components:

1) Automatic Speech Recognition (ASR): 

ASR is often thought of as the “ears” of the voice assistant. ASR converts spoken language into text so the assistant can understand user input. Over the years, this technology has seen substantial improvements, with models trained on vast datasets sourced from platforms like YouTube, podcasts, and audiobooks. 

2) Natural Language Understanding (NLU):

Complementing ASR is Natural Language Understanding (NLU), the system's “brain.” NLU interprets the intent and context behind the words. In this way, the voice assistant recognizes what you’re saying and grasps what you mean. 

3) Text-to-Speech (TTS): 

Finally, text-to-speech technology voices the assistant’s responses. After determining the appropriate reply, TTS transforms that text into speech, making the interactions more natural. It utilizes voice recordings that convey different emotions and intonations, ensuring that responses are accurate and relatable to users.

Training these AI systems is no small feat. ASR models require vast amounts of data, often from publicly available sources like TED Talks or audiobooks. Similarly, TTS models need high-quality voice recordings, typically around 40–50 hours, to achieve lifelike speech. NLU models rely on user-contributed data to refine their understanding and responses, focusing on user consent for data sharing.

 Benefits of AI-based voice assistants

1) Reduced wait times 

Customers today expect instant responses; long hold times or slow service can quickly lead to frustration. AI in voice assistants can handle multiple inquiries simultaneously, so customers don’t have to wait in line. Using natural language processing (NLP) and intelligent call routing,  AI assistants can instantly understand requests, provide relevant information, or direct customers to the right resources.  With AI’s ability to handle routine questions and escalate complex issues, businesses can keep wait times low and improve service quality.

2) Real-time support

Imagine calling a customer support line and getting immediate help—not waiting on hold for ages. That’s precisely what AI voice assistants are doing. They’re available 24/7, meaning no matter where you are, you can get the support you need anytime. With the ability to understand customer intent, they provide accurate responses without requiring users to repeat information, addressing the demand for consistent communication. They handle the routine questions quickly and remember your past interactions as if they already know you.  This personalized touch boosts your overall experience!  

3) Cost-effectiveness

With an AI voice assistant, you only have to pay for the hours worked and let go of unnecessary overhead expenses. Unlike traditional employees, who require fixed salaries, benefits, office space, and equipment, virtual assistants operate independently and manage their tools and workspace. Your business can avoid additional costs like sick leave, vacation pay, and insurance. For example, while an employee’s $20/hour rate might cost enterprises almost $26/hour when factoring in benefits, a virtual assistant’s $42/hour rate is the only cost, with no hidden expenses. 

4) Personalized interactions

With advanced data analytics, machine learning, and artificial intelligence, personalized voice assistants can analyze your past behaviour, preferences, and even real-time context, such as location or time of day, to provide highly relevant results. Using Natural Language Processing (NLP), human-like voice assistants can accurately understand conversational queries and recognize context and intent.  For example, if you frequently search for vegan restaurants, the AI can prioritize vegan dining options in future queries. Its predictive personalization ability makes each interaction smoother and more efficient. 

5) Multilingual speech

By supporting multiple languages, these assistants ensure that any user can easily access its services, regardless of what language they speak. Using multilingual voice assistants can boost your customer acquisition rate by making interactions smoother across different stages of the sales funnel and building your brand loyalty, as users feel respected and valued when they can engage in their preferred language. Ultimately, these smart voice assistants can increase revenue by expanding the customer base and making the investment worthwhile for your business.

How do AI voice assistants enhance accessibility across several areas?

1) Entertainment

The CDC reports that 4.6% of disabled individuals have severe vision difficulties. By voice-enabling devices like smart TVs and mobile apps, companies can create a more inclusive entertainment experience. Since around 40% of adults use mobile voice searches daily (report), incorporating voice AI into these technologies can widen access to movies, games, and other content.

2) Socialization

For many people, going out to socialize can be tricky. This is why online communication has become handy. The Mayo Clinic highlights that socializing can enhance cognitive functions and overall well-being. Voice-enabled communication tools can allow users to connect with friends and family through simple voice commands without needing physical navigation.

3) Education

Many students face barriers due to learning disabilities. The National Center for Learning Disabilities states that one in five children has a learning disability that makes it hard for them to process written information. With the rise of e-learning, which is expected to reach a market size of $370 billion by 2026—AI voice assistants can provide access to educational resources without the need for traditional text navigation.

4) Employment

The U.S. Bureau of Labor Statistics noted that only 17.9% of people with disabilities were employed in 2020. (source) AI in voice assistants can make workplaces more accessible and help individuals with disabilities engage with essential tools and systems without relying heavily on manual inputs. For example, voice-enabled tablets can provide hands-free access to email and meeting platforms, helping users navigate work environments easily.

5) Independence

Achieving daily tasks independently can boost one's self-esteem and confidence. The CDC notes that 13.7% of individuals with disabilities have mobility challenges, making it hard for them to perform routine activities. Personalized voice assistants can assist users in controlling smart home devices and turning tasks like adjusting lights or temperature into simple verbal commands.

Limitations of AI-based voice assistants

1) Speech Recognition Accuracy

One of the biggest hurdles for voice assistants is achieving high accuracy in understanding speech. They must interpret various accents, handle background noise, and accommodate different speech patterns. Improving recognition accuracy is still a work in progress.

2) Context Awareness

Maintaining context during a conversation is problematic, as voice assistants need help remembering past interactions or handling conversations involving multiple turns. This lack of context awareness can lead to responses that feel disconnected or irrelevant to the user.

3) Natural Language Understanding

Human-like voice assistants must comprehend natural language queries, which are often vague and context-specific. Understanding user intent requires clarification, sophisticated natural language processing, and semantic analysis. 

4) Lack of Emotional Intelligence

Most voice assistants find interpreting user emotions, tones, or sarcasm challenging. Their responses can often come off as robotic or lacking warmth, which can detract from the overall user experience and connection.

5) Ethical and Social Implications

The rise of voice assistants raises essential ethical issues like cybersecurity, data privacy, and biases. Concerns exist about how they affect human interactions and social dynamics. Ensuring that voice assistants are fair and socially responsible is an ongoing challenge that needs attention.

Best AI voice assistants in 2024

1) Siri

Siri has become a core part of the Apple experience. Since it first arrived in 2011, interacting with your iPhone, iPad, Mac, and AirPods has been easy with a simple voice command. Whether you're checking the weather, texting, or even setting a reminder, Sir can help you with anything. And here’s something exciting—Apple’s rolling out a significant update with iOS 18, bringing Siri closer to human-like interactions thanks to Apple Intelligence. This means Siri will understand language and context better and consider previous requests to give you more thoughtful responses.  

2) Alexa

So, have you heard of Alexa? Amazon’s voice assistant has been around since 2014 and has come a long way! Initially launched with the Amazon Echo, Alexa can control smart home devices and make phone calls. What's remarkable is that Alexa responds to not just "Alexa" but also other wake words like "Echo," "Amazon," and even "Ziggy," so you have some options. It also works with a massive range of devices—echo speakers, Fire TV, and even third-party gadgets. And with over 100,000 third-party skills available, it's more versatile than ever. You can ask Alexa to add something to your shopping list, control your lights, or get real-time alerts from your Ring cameras. 

3) Google Assistant

Google Assistant has stepped up its game since launching in 2016. It's not just limited to Google devices anymore—it's integrated into many third-party products, like fridges, headphones, and even cars! You can use it for voice commands, online searches, real-time translations, controlling your smart home, and even booking flights or making appointments. Google Assistant can recognize different voices, tailoring responses based on who's speaking, making it feel personalized. It's available on everything from smartphones and Wear OS devices to smart displays and even cars, syncing across all your devices to make life easier. 

4) Bixby

Bixby is Samsung's voice assistant, and it's been a part of their devices since 2017. What's unique about Bixby is that it's explicitly designed for Samsung products like smartphones, tablets, and even wearables like the Galaxy Watch—so it’s not something you’ll find on other brands. You can use Bixby Voice to talk to it or type out commands using Type to Bixby. Bixby Vision is another fun feature that uses your camera to translate text in real-time or even identify objects. And if you’re into automation, Bixby Routines lets you set up personalized commands to make your day-to-day tasks easier. You can activate Bixby simply by saying “Hi, Bixby” or pressing the Bixby button on your device.

4) Cortana

If you’re already deep into the Microsoft 365 ecosystem, you’ll love how Cortana seamlessly integrates into all your devices and apps. It’s been around since 2014, and now it’s an essential part of everything from Windows 10 to Outlook, OneDrive, and Teams. What makes Cortana stand out is how it focuses on boosting productivity. Whether you’re asking it to open apps, schedule meetings, or send emails, it helps you stay on top of everything without missing a beat. One of the fascinating features is "Play My Emails," where Cortana reads out your emails while you're on the move—perfect for when you’re busy but still need to stay in the loop. It learns from your interactions, so the more you use it, the better you understand your preferences. 

Are you looking to personalize interactions with AI-based voice assistants?

While considering getting an AI-based voice assistant for your business, it’s essential to outline your objectives, select an appropriate AI platform, develop the underlying logic, train the AI, design an intuitive user interface, build and test the solution, and ultimately deploy it. Sounds like a lot of work, doesn't it? But there is no need to worry, as our talented AI/ML solutions development team at Webelight Solutions Pvt. Ltd. is here to handle both the development of the AI component and the infrastructure it requires.

Our team will look into our industry to refine your concept, ensuring the final product genuinely adds value and supports future scalability. If suitable off-the-shelf AI/ML solutions exist, we’ll integrate those; otherwise, we’ll design custom AI-based voice assistants leveraging our extensive experience and exceptional skills.

Make your business more accessible with an AI-based voice assistant to assist users anytime, anywhere. Contact us today!