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How to Make an AI Voice That Speaks Like You

Julia McCoy
Friday, 15th Dec 2023
Julia McCoy
5 min read · Jan 11 2022
how to make an AI voice

Ever wondered how Siri or Alexa manages to respond with such human-like voices? It’s all down to artificial intelligence. These virtual assistants use AI voice technology that’s been carefully crafted over years of development.

Welcome to the fascinating realm of text-to-speech voice synthesis, where the digital meets the vocal, and your words come to life in the form of AI voice clones.

In this guide, you will learn how to make an AI voice as we unravel the secrets behind AI voice generators and how they transform mere text prompts into dynamic, expressive voice avatars that resonate with your audience.

We’ll explore the crucial role of data collection and model training — how do we get from raw data to a digital assistant able to answer your questions in smooth, natural language?

By the end of this article, you will understand not only how to make an AI voice but also its potential applications beyond Siri answering trivia questions on your iPhone.

So buckle up as we dive into the intricate world of creating your very own voice AI.

Table Of Contents:

Synthetic Voice: The Origins of AI Voice Technology

Have you ever wondered what a synthetic voice is? It’s a voice that has been artificially created using technology. This means it doesn’t exist in the real world but has been generated by a computer.

The history of synthetic voices dates back to the early 1800s when speech synthesizers were used to convert text into audible speech. However, these initial attempts resulted in voices that sounded very mechanical and robotic, far from being realistic.

Fast forward to today and we have artificial intelligence playing a significant role in advancing this field even further. One popular method involves creating digital copies or voice skins of actual human voices which can then be used as templates for generating new ones.

If you’re looking for ways to add some personality to your project or want something unique and fresh, consider experimenting with voice cloning. By converting text into audio clips that sound like real people talking, you could bring life to your content even when you don’t have much technical expertise.

How AI Voice Generators Work

Before you can learn how to make an AI voice, you must understand how AI voice generators work.

The magic begins with a prompt. You type a sentence giving the AI voice software instructions on what you want it to create. Within a few minutes, it will create a humanlike voice that you can download or share.

Here’s the scoop on how AI voice generators work:

  1. Text Input: It all starts with AI text. You provide the AI with the words you want to be spoken. This can be anything from a simple sentence to a more complex paragraph.
  2. Natural Language Processing (NLP): After entering your text, the AI gets down to decoding it. Natural language processing kicks in, allowing the system to understand not just the words, but also their context, tone, and intended meaning.
  3. Script to Phonemes: The AI then breaks down the text into its smallest units of sound, called phonemes. These are the building blocks of spoken language.
  4. Voice Training: Now comes the training phase. The AI has learned from tons of voice recordings to understand how different phonemes should sound in various contexts. This helps create a model that can generate realistic speech.
  5. Prosody and Intonation: To sound truly human, the AI needs to grasp the nuances of prosody and intonation— basically, the rhythm, stress, and pitch variations in speech. This ensures that the AI voice doesn’t sound monotonous but mirrors the natural cadence of human conversation.
  6. Voice Synthesis: The synthesized voice emerges! Using the phonemes, prosody, and learned patterns, the AI generates speech that sounds remarkably human.
  7. Output: Finally, you get the result: your text prompt is brought to life in the form of an AI-generated custom voice, ready to articulate your words.

So, in a nutshell, AI voice generators combine linguistics, machine learning, and a dash of digital artistry to turn your text into spoken magic. The result? A voice that’s authentically engaging.

How to Make an AI Voice: Step-by-Step Guide

Voice cloning can be an exciting venture. Let me break down for you how to make an AI voice using an AI voice generator.

Step 1: Choose an AI Voice Generator Platform

Start by selecting a reliable AI voice generator platform. Popular options include Google Cloud Text-to-Speech, Amazon Polly, and IBM Watson Text-to-Speech. Each voice changer app has its strengths and weaknesses so be sure to compare your options before making a decision.

Check out our Top 10 AI voice generators in this comprehensive guide.

Step 2: Set Up Your Account

Sign up for an account on your chosen platform. This usually involves submitting an email address, providing necessary details, and agreeing to any terms and conditions.

Step 3: Access the API or Interface

After setting up your account, access the API (Application Programming Interface) or user interface provided by the platform. This is where you’ll interact with the system to generate your AI voice overs.

Step 4: Input Your Text

To start the voice cloning process, enter the text you want to convert into an AI voice. This could be a sentence, a paragraph, or even an entire script, depending on your project.

Step 5: Customize Voice Settings

Explore the customization options offered by the AI voice cloning platform. You might have the ability to adjust parameters such as pitch, speaking rate, and voice style to tailor the AI generated voice to your liking.

Step 6: Test and Refine

Most platforms allow you to preview the AI generated voice sound. Take advantage of this feature to listen to how your text sounds in the AI-generated audio content. Refine the input text and settings until you achieve the desired result.

Step 7: Integrate into Your Project

Once satisfied with the AI-generated voice, download the audio files and integrate audio data into your project. This could be a mobile app, a game, a video, or any other application where you want the AI voice to be used.

Step 8: Obtain an API Key (if applicable)

Some platforms may require an API key for accessing their services programmatically. Make sure to obtain and securely store any necessary API keys to enable seamless integration.

Step 9: Explore Additional Features

Some platforms offer advanced features, such as multiple language support, voice variations, or even the ability to create custom voices for video narration. Explore these voice cloning technology options to enhance the richness of your speech voices.

Step 10: Regularly Update and Optimize

Keep an eye on updates and improvements provided by the platform. Regularly updating your AI voice model ensures that you benefit from the latest advancements in voice synthesis technology.

And there you have it! With these steps, you’re well on your way to creating a unique AI voice tailored to your project’s needs.

How to Write AI Voice Prompts

The art of crafting an AI voice lies in the prompts used during its training. These are sentences or phrases that help shape the final output.

Prompts and Personality

To give your AI a unique sound, you need to use varied prompts. Let’s say you want it to speak like Shakespeare. You would then feed it lines from his plays.

Accents and Dialects

If you’re aiming for a specific accent, select prompts with phonetic patterns common to that dialect. For instance, feeding it Scottish phrases can result in an AI with a Scottish lilt.

Tone Variations

Varying the tone is also important in voice content creation. This could mean including questions, statements, or exclamatory remarks within your set of prompts.

Mimicking Human Emotions

You might even consider incorporating emotions into your voice changer by using emotionally charged language within the dataset. Studies have shown this helps create more relatable interactions between users and their devices.

Remember though: while examples may make this process seem straightforward, it requires patience and precision. There’s no magic formula but with trial-and-error coupled with these guidelines.

Crafting an AI voice? It’s all in the prompts. Use lines from Shakespeare for a poetic flair, or try Scottish phrases for a unique lilt. Remember to mix up tones and sprinkle some emotion – it takes patience but makes tech talk more relatable.” # Click to Tweet

Challenges in Creating an AI Voice

Creating AI voices isn’t as easy as tapping a few keys on your keyboard. The journey is fraught with obstacles.

Accents: A Bumpy Road to Navigate

A common challenge lies in handling accents. Accents can differ wildly, even within the same language group. Getting your AI to recognize and replicate various accents accurately requires immense data collection and processing efforts.

The Emotional Rollercoaster of AI Voices

An additional hurdle is teaching an AI to express emotions convincingly through speech, which often proves tricky since it’s not just about pitch modulation or volume changes but also subtle nuances that make human communication rich and complex.

Natural Sounding AI Voice: Easier Said Than Done

Besides dealing with accents and emotions, maintaining naturalness presents its own set of problems. While we’ve made strides towards more fluid synthetic voices (think Siri or Alexa), there’s still a perceptible gap between a synthetic voice and an actual person’s voice.

Data Collection: A Game of Patience And Precision

To achieve this ‘natural’ sound involves collecting massive amounts of high-quality voice data from diverse individuals across different contexts — a process both time-consuming and resource-intensive.

Extensive research goes into refining these models continuously for better performance.

Tuning the Model Right: Not Too Hot, Not Too Cold

Fine-tuning such a model becomes another test. Overfitting the model might make it work well with training data but falter with new, unseen data.

On the other hand, underfitting could result in a generalized model that lacks precision.

Real-Time Challenges

Then comes real-time challenges such as background noise filtering and echo cancellation, which require advanced algorithms to ensure seamless voice interactions.

How to make an AI voice sound like a human may seem like a complex task. But, with dedication and the right resources, it’s possible to create audio that mimics a traditional voice recording

Exploring Real-Life Applications of AI Voice Technology

You’ve probably interacted with AI voice technology more than you realize. It’s not just Siri or Alexa – it’s used in many different fields.

Here are some notable examples of how AI voice technology has found its way into our daily lives.

Media and Entertainment

AI voices are making waves in the entertainment industry, from creating unique character voices for video games to dubbing films into different languages.

In the gaming sector, AI voice technology is employed to create interactive storytelling experiences and lifelike characters. Players can engage with these characters and influence the narrative through voice commands.

AI voice technology is even used to generate ‘new’ performances by deceased musicians, offering fans a chance to hear their favorite artists again.

Audiobooks and Podcasts

If you’re an avid listener of audiobooks or podcasts, there’s a good chance that some content was read by an AI-generated voice.

This lets creators release content more frequently while maintaining consistent quality.

Customer Service Chatbots

We’ve all been stuck on hold during customer service calls, right? But now businesses use AI voice bots like Google Duplex to handle simple inquiries without human help.

AI-powered chatbots with voice capabilities can handle customer inquiries, provide information, and assist with problem-solving through voice interactions, offering a more personalized and efficient service.

GPS and navigation systems use AI voice technology to provide turn-by-turn directions. Drivers can receive real-time updates and directions without taking their eyes off the road, promoting safer driving.


AI voice technology plays a crucial role in making technology more accessible.

Voice-controlled interfaces enable individuals with disabilities to interact with devices, such as computers and smartphones, without relying on traditional input methods.

Language Translation

More than 575 million people use Duolingo — a testament to the significant impact of AI voice technology on language learning.

AI-powered language translation services use voice recognition to convert spoken words from one language to another in real time. This is particularly useful for travelers and international business communication.


In online education platforms, personalized learning experiences can be created using AI voices.

AI voice technology is integrated into educational tools and platforms to provide students with a hands-free experience when learning languages, pronunciation, and other subjects.


In healthcare, AI voice technology is used for dictation, transcription services, and even to assist in patient care. Voice-activated tools allow healthcare professionals to update patient records and access information efficiently.


For individuals with degenerative conditions affecting speech, voice banking using AI technology allows them to preserve their natural voice. Users record their voices, and AI algorithms can later generate speech that sounds like the individual.

Smart Home Devices

AI voice technology is at the core of smart home devices, enabling users to control lights, thermostats, security systems, and other connected devices through voice commands.

These applications highlight the versatility and impact of AI voice technology across various industries, improving convenience, accessibility, and user engagement. As technology continues to advance, we can expect even more innovative applications to emerge.

Ever chatted with Siri or Alexa? That’s AI voice tech at work. It’s not just for fun – it’s revolutionizing entertainment, e-learning, and even customer service. #AIVoiceTech Click to Tweet

FAQs – How to Make an AI Voice

Can I create my own AI voice?

Absolutely. With a bit of technical know-how and the right tools, you can design your unique AI voice.

How are AI voices created?

The creation of AI voices involves collecting data, training an artificial intelligence model with this data, and fine-tuning for natural sound.

How to get free AI voice?

You can use platforms like Google Text-to-Speech or Amazon Polly that offer limited free access to their synthetic voices.

How do I create a voice message in AI?

To make an audio message using AI, input text into a speech synthesis tool which will convert it into spoken language.


Creating an AI voice is a fascinating journey. You now know the vital role of data in crafting that perfect digital voice — everything from collection to model training.

And let’s not forget those all-important prompts that guide our AI voices.

But it’s not all smooth sailing; you’ve also seen some challenges faced when creating an AI voice. Accent handling and injecting emotion – they’re no easy feat!

The next time Siri answers your trivia question or Alexa plays your favorite song, remember what goes into making these interactions possible. With this newfound knowledge of how to make an AI voice, perhaps you’ll even consider venturing into this intriguing field yourself!

A world full of possibilities awaits — and it’s just one “Hey Siri” away.

New to prompting? Find inspiration from Content at Scale‘s AI prompt library! Tweak these pre-made prompts until you get the results you’re looking for.

Written by Julia McCoy

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