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Build a Text to Speech Converter using HTML, CSS & Javascript

A text-to-speech converter is an application that is used to convert the text content entered by the user into speech with a click of a button. A text-to-speech converter should have a text area at the top so that, the user can enter a long text to be converted into speech followed by a button that converts the entered text into speech and plays the sound on click to it. In this article, we will build a fully responsive text-to-speech converter using HTML , CSS , and JavaScript .

Create a folder with the project name and create the required HTML, CSS, and JavaScript files as shown in the project structure.
Now, use the HTML tags like textarea, button, div, head, body etc. to define the structure of the website.
Add the styles to the HTML tags used to define the structure by selecting them with the help of given IDs and Classes.
Utilise the speechSynthesis API of the global window object and the SpeechSynthesisUtterance to create a utteraance of the entered text.
Next, use the speak() method of the speechSynthesis API to speak or play the created utterance as a speech.
Handle the errors efficiently if user have not provided any text to convert.

Example: The below example will help you to understand the process of creating an text-to-speech converter using HTML, CSS, and JavaScript:

Final Output

Note: You will not able to hear the voice as it is an gif so kindly run this project locally on any Online IDE(Replit, etc.)

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How to Convert Text to Speech using HTML, CSS and JavaScript

By Faraz - Last Updated: August 09, 2024

Learn how to implement text to speech in JavaScript using Speech Synthesis API. Follow our step-by-step guide and add this exciting feature to your website!

how to convert text to speech in javascript.jpg

Project Introduction
JavaScript Code

Welcome to our guide on how to convert text to speech in JavaScript using the Speech Synthesis API. Text-to-speech technology has become increasingly popular, and implementing it on your website can improve the user experience and accessibility for users with hearing impairments or learning disabilities. In this guide, we will cover everything you need to know to add this exciting feature to your website. We'll start with an introduction to text-to-speech and its importance, followed by an overview of the Speech Synthesis API and its features and limitations.

The Speech Synthesis API is a web browser API that enables developers to generate speech from the text on a webpage. The API provides a range of settings that can be used to customize the speech output, such as voice, pitch, rate, and volume.

One of the key features of the Speech Synthesis API is that it is easy to use and requires only a few lines of code to get started. It is also supported by most modern web browsers, making it a reliable choice for adding text to speech functionality to a website.

However, there are some limitations to the Speech Synthesis API. For example, the available voices and languages depend on the user's operating system and browser. Additionally, the quality of the speech output can vary depending on the voice used, and some voices may not sound natural or be easy to understand.

Despite these limitations, the Speech Synthesis API remains a powerful tool for adding text to speech functionality to a website, and it can greatly enhance the user experience for many users.

When creating an application, you may want to enable text-to-speech features for accessibility, convenience, or some other reason. In this tutorial, we'll learn how to create a very simple JavaScript text-to-speech application using JavaScript's built-in Web Speech API.

Watch the full tutorial on my YouTube Channel: Watch Here .

Let's start making an amazing text-to-speech converter Using HTML, CSS, and JavaScript step by step.

Join My Telegram Channel to Download the Project: Click Here

Prerequisites:

Before starting this tutorial, you should have a basic understanding of HTML, CSS, and JavaScript . Additionally, you will need a code editor such as Visual Studio Code or Sublime Text to write and save your code.

Source Code

Step 1 (HTML Code):

To get started, we will first need to create a basic HTML file. In this file, we will include the main structure for our text to speech converter.

The first line of the code, , declares the document type as HTML. This line is required for all HTML documents.

The html tag wraps around the entire document, and the lang attribute specifies the language of the document, in this case, English.

The head section contains meta information about the document, including the character encoding, which is set to UTF-8, and the viewport, which defines how the website should be displayed on different devices. It also includes a title tag which sets the title of the document, which appears on the tab of the browser.

In the head section, there is a link to an external stylesheet, which is used to define the visual styling of the document, and a script tag that includes an external JavaScript file. The type attribute in the script tag is set to "module" to indicate that the script uses ES6 modules.

The body section is where the actual content of the web page is contained. In this case, it consists of a div element with a class of "container" that wraps around a label and a textarea element. The label tag is used to associate a label with an input element, and the textarea is where the user can enter the text they want to be spoken. There is also a button element with an id attribute of "speak" that triggers the text-to-speech functionality when clicked.

After creating the files just paste the following below codes into your file. Make sure to save your HTML document with a .html extension, so that it can be properly viewed in a web browser.

This is the basic structure of our text to speech converter using HTML, and now we can move on to styling it using CSS.

Creating Toggleable Tabs with HTML, CSS, and JavaScript.jpg

Step 2 (CSS Code):

Once the basic HTML structure of the text to speech converter is in place, the next step is to add styling to the text to speech converter using CSS.

Next, we will create our CSS file. In this file, we will use some basic CSS rules to create our text to speech converter.

The first section, *{} , is a universal selector that applies to all elements on the webpage. It sets the box-sizing property to border-box, which includes any padding and border in the element's total width and height, and sets the margin of all elements to 0, removing any default margin.

The body selector sets the display property to flex, which creates a flexible container for the page's content. The justify-content and align-items properties are set to center, which horizontally and vertically centers the content in the container. The min-height property is set to 100vh, which makes the container take up the entire viewport height.

The .container selector applies styles to a specific div element with a class of "container". It sets the background-color to #4FBDBA, which is a light blue color. The display property is set to grid, which allows the container to be laid out in a grid structure. The gap property sets the gap between grid items to 20 pixels. The width is set to 500 pixels, and the max-width property uses a calc() function to set the maximum width to be the width of the viewport minus 40 pixels. The padding property sets the padding inside the container, while the border-radius property sets the rounded corners of the container. The font-size property sets the size of the text inside the container.

The #text selector applies styles to a specific textarea element with an id of "text". It sets the display property to block, which makes the element take up the entire width of its container. The height is set to 100 pixels, while the border-radius property sets the rounded corners of the element. The font-size property sets the size of the text inside the element, while the border property sets the border around the element. The resize property is set to none, which disables resizing of the element by the user. The padding property sets the padding inside the element, while the outline property sets a visible border around the element when it is in focus.

The button selector applies styles to all button elements. It sets the padding inside the button, while the background property sets the background color of the button. The color property sets the color of the text inside the button, while the border-radius property sets the rounded corners of the button. The cursor property sets the type of cursor that appears when the button is hovered over. The border property sets the border around the button, while the font-size and font-weight properties set the size and weight of the text inside the button.

This will give our text to speech converter an upgraded presentation. Create a CSS file with the name of styles.css and paste the given codes into your CSS file. Remember that you must create a file with the .css extension.

Step 3 (JavaScript Code):

Finally, we need to create a speechSynthesis function in JavaScript.

The code uses the Document Object Model (DOM) to select and manipulate HTML elements, and it uses the Web Speech API to synthesize speech from text.

The first line of the code uses the getElementById method to select an HTML element with an id of "text". The textEL variable is then assigned to this element.

The second line of the code uses the getElementById method to select an HTML element with an id of "speak". The speakEL variable is then assigned to this element.

The third line of the code uses the addEventListener method to add a click event listener to the speakEL element. The speakText function is passed as the event handler for this listener. This means that when the "speak" button is clicked, the speakText function will be executed.

The speakText function first calls the cancel method on the window.speechSynthesis object. This stops any speech that is currently being synthesized.

The function then retrieves the text that has been entered into the textEL element by accessing its value property. This text is then used to create a new SpeechSynthesisUtterance object, which is a type of speech request.

The speak method of the window.speechSynthesis object is then called with the utterance object as a parameter. This causes the Web Speech API to synthesize speech from the text in the utterance object and speak it through the device's speakers.

Create a JavaScript file with the name of script.js and paste the given codes into your JavaScript file and make sure it's linked properly to your HTML document, so that the scripts are executed on the page. Remember, you’ve to create a file with .js extension.

Final Output:

Creating a Candy Crush Clone HTML, CSS, and JavaScript Tutorial.jpg

Conclusion:

In conclusion, adding text to speech functionality to a website can greatly improve the user experience for users with hearing impairments, learning disabilities, or anyone who prefers to listen to content instead of reading it. With the Speech Synthesis API, implementing this feature is simple and straightforward, making it accessible to developers of all skill levels.

By following the steps outlined in this guide, you can add text to speech functionality to your website and customize it to fit your users' needs. Remember to test your implementation thoroughly to ensure that it works correctly and provides a high-quality user experience.

Overall, the Speech Synthesis API is a powerful tool that can greatly enhance the accessibility and usability of your website. We hope that this guide has been helpful and that you can use these tips to create a more inclusive and accessible online experience for your users.

That’s a wrap!

I hope you enjoyed this post. Now, with these examples, you can create your own amazing page.

Did you like it? Let me know in the comments below 🔥 and you can support me by buying me a coffee

And don’t forget to sign up to our email newsletter so you can get useful content like this sent right to your inbox!

Thanks! Faraz 😊

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Using the Web Speech API

Speech recognition.

Speech recognition involves receiving speech through a device's microphone, which is then checked by a speech recognition service against a list of grammar (basically, the vocabulary you want to have recognized in a particular app.) When a word or phrase is successfully recognized, it is returned as a result (or list of results) as a text string, and further actions can be initiated as a result.

The Web Speech API has a main controller interface for this — SpeechRecognition — plus a number of closely-related interfaces for representing grammar, results, etc. Generally, the default speech recognition system available on the device will be used for the speech recognition — most modern OSes have a speech recognition system for issuing voice commands. Think about Dictation on macOS, Siri on iOS, Cortana on Windows 10, Android Speech, etc.

Note: On some browsers, such as Chrome, using Speech Recognition on a web page involves a server-based recognition engine. Your audio is sent to a web service for recognition processing, so it won't work offline.

To show simple usage of Web speech recognition, we've written a demo called Speech color changer . When the screen is tapped/clicked, you can say an HTML color keyword, and the app's background color will change to that color.

The UI of an app titled Speech Color changer. It invites the user to tap the screen and say a color, and then it turns the background of the app that color. In this case it has turned the background red.

To run the demo, navigate to the live demo URL in a supporting mobile browser (such as Chrome).

HTML and CSS

The HTML and CSS for the app is really trivial. We have a title, instructions paragraph, and a div into which we output diagnostic messages.

The CSS provides a very simple responsive styling so that it looks OK across devices.

Let's look at the JavaScript in a bit more detail.

Prefixed properties

Browsers currently support speech recognition with prefixed properties. Therefore at the start of our code we include these lines to allow for both prefixed properties and unprefixed versions that may be supported in future:

The grammar

The next part of our code defines the grammar we want our app to recognize. The following variable is defined to hold our grammar:

The grammar format used is JSpeech Grammar Format ( JSGF ) — you can find a lot more about it at the previous link to its spec. However, for now let's just run through it quickly:

The lines are separated by semicolons, just like in JavaScript.
The first line — #JSGF V1.0; — states the format and version used. This always needs to be included first.
The second line indicates a type of term that we want to recognize. public declares that it is a public rule, the string in angle brackets defines the recognized name for this term ( color ), and the list of items that follow the equals sign are the alternative values that will be recognized and accepted as appropriate values for the term. Note how each is separated by a pipe character.
You can have as many terms defined as you want on separate lines following the above structure, and include fairly complex grammar definitions. For this basic demo, we are just keeping things simple.

Plugging the grammar into our speech recognition

The next thing to do is define a speech recognition instance to control the recognition for our application. This is done using the SpeechRecognition() constructor. We also create a new speech grammar list to contain our grammar, using the SpeechGrammarList() constructor.

We add our grammar to the list using the SpeechGrammarList.addFromString() method. This accepts as parameters the string we want to add, plus optionally a weight value that specifies the importance of this grammar in relation of other grammars available in the list (can be from 0 to 1 inclusive.) The added grammar is available in the list as a SpeechGrammar object instance.

We then add the SpeechGrammarList to the speech recognition instance by setting it to the value of the SpeechRecognition.grammars property. We also set a few other properties of the recognition instance before we move on:

SpeechRecognition.continuous : Controls whether continuous results are captured ( true ), or just a single result each time recognition is started ( false ).
SpeechRecognition.lang : Sets the language of the recognition. Setting this is good practice, and therefore recommended.
SpeechRecognition.interimResults : Defines whether the speech recognition system should return interim results, or just final results. Final results are good enough for this simple demo.
SpeechRecognition.maxAlternatives : Sets the number of alternative potential matches that should be returned per result. This can sometimes be useful, say if a result is not completely clear and you want to display a list if alternatives for the user to choose the correct one from. But it is not needed for this simple demo, so we are just specifying one (which is actually the default anyway.)

Starting the speech recognition

After grabbing references to the output <div> and the HTML element (so we can output diagnostic messages and update the app background color later on), we implement an onclick handler so that when the screen is tapped/clicked, the speech recognition service will start. This is achieved by calling SpeechRecognition.start() . The forEach() method is used to output colored indicators showing what colors to try saying.

Receiving and handling results

Once the speech recognition is started, there are many event handlers that can be used to retrieve results, and other pieces of surrounding information (see the SpeechRecognition events .) The most common one you'll probably use is the result event, which is fired once a successful result is received:

The second line here is a bit complex-looking, so let's explain it step by step. The SpeechRecognitionEvent.results property returns a SpeechRecognitionResultList object containing SpeechRecognitionResult objects. It has a getter so it can be accessed like an array — so the first [0] returns the SpeechRecognitionResult at position 0. Each SpeechRecognitionResult object contains SpeechRecognitionAlternative objects that contain individual recognized words. These also have getters so they can be accessed like arrays — the second [0] therefore returns the SpeechRecognitionAlternative at position 0. We then return its transcript property to get a string containing the individual recognized result as a string, set the background color to that color, and report the color recognized as a diagnostic message in the UI.

We also use the speechend event to stop the speech recognition service from running (using SpeechRecognition.stop() ) once a single word has been recognized and it has finished being spoken:

Handling errors and unrecognized speech

The last two handlers are there to handle cases where speech was recognized that wasn't in the defined grammar, or an error occurred. The nomatch event seems to be supposed to handle the first case mentioned, although note that at the moment it doesn't seem to fire correctly; it just returns whatever was recognized anyway:

The error event handles cases where there is an actual error with the recognition successfully — the SpeechRecognitionErrorEvent.error property contains the actual error returned:

Speech synthesis

Speech synthesis (aka text-to-speech, or TTS) involves receiving synthesizing text contained within an app to speech, and playing it out of a device's speaker or audio output connection.

The Web Speech API has a main controller interface for this — SpeechSynthesis — plus a number of closely-related interfaces for representing text to be synthesized (known as utterances), voices to be used for the utterance, etc. Again, most OSes have some kind of speech synthesis system, which will be used by the API for this task as available.

To show simple usage of Web speech synthesis, we've provided a demo called Speak easy synthesis . This includes a set of form controls for entering text to be synthesized, and setting the pitch, rate, and voice to use when the text is uttered. After you have entered your text, you can press Enter / Return to hear it spoken.

UI of an app called speak easy synthesis. It has an input field in which to input text to be synthesized, slider controls to change the rate and pitch of the speech, and a drop down menu to choose between different voices.

To run the demo, navigate to the live demo URL in a supporting mobile browser.

The HTML and CSS are again pretty trivial, containing a title, some instructions for use, and a form with some simple controls. The <select> element is initially empty, but is populated with <option> s via JavaScript (see later on.)

Let's investigate the JavaScript that powers this app.

Setting variables

First of all, we capture references to all the DOM elements involved in the UI, but more interestingly, we capture a reference to Window.speechSynthesis . This is API's entry point — it returns an instance of SpeechSynthesis , the controller interface for web speech synthesis.

Populating the select element

To populate the <select> element with the different voice options the device has available, we've written a populateVoiceList() function. We first invoke SpeechSynthesis.getVoices() , which returns a list of all the available voices, represented by SpeechSynthesisVoice objects. We then loop through this list — for each voice we create an <option> element, set its text content to display the name of the voice (grabbed from SpeechSynthesisVoice.name ), the language of the voice (grabbed from SpeechSynthesisVoice.lang ), and -- DEFAULT if the voice is the default voice for the synthesis engine (checked by seeing if SpeechSynthesisVoice.default returns true .)

We also create data- attributes for each option, containing the name and language of the associated voice, so we can grab them easily later on, and then append the options as children of the select.

Older browser don't support the voiceschanged event, and just return a list of voices when SpeechSynthesis.getVoices() is fired. While on others, such as Chrome, you have to wait for the event to fire before populating the list. To allow for both cases, we run the function as shown below:

Speaking the entered text

Next, we create an event handler to start speaking the text entered into the text field. We are using an onsubmit handler on the form so that the action happens when Enter / Return is pressed. We first create a new SpeechSynthesisUtterance() instance using its constructor — this is passed the text input's value as a parameter.

Next, we need to figure out which voice to use. We use the HTMLSelectElement selectedOptions property to return the currently selected <option> element. We then use this element's data-name attribute, finding the SpeechSynthesisVoice object whose name matches this attribute's value. We set the matching voice object to be the value of the SpeechSynthesisUtterance.voice property.

Finally, we set the SpeechSynthesisUtterance.pitch and SpeechSynthesisUtterance.rate to the values of the relevant range form elements. Then, with all necessary preparations made, we start the utterance being spoken by invoking SpeechSynthesis.speak() , passing it the SpeechSynthesisUtterance instance as a parameter.

In the final part of the handler, we include a pause event to demonstrate how SpeechSynthesisEvent can be put to good use. When SpeechSynthesis.pause() is invoked, this returns a message reporting the character number and name that the speech was paused at.

Finally, we call blur() on the text input. This is mainly to hide the keyboard on Firefox OS.

Updating the displayed pitch and rate values

The last part of the code updates the pitch / rate values displayed in the UI, each time the slider positions are moved.

About AssemblyAI

JavaScript Text-to-Speech - The Easy Way

Learn how to build a simple JavaScript Text-to-Speech application using JavaScript's Web Speech API in this step-by-step beginner's guide.

Contributor

When building an app, you may want to implement a Text-to-Speech feature for accessibility, convenience, or some other reason. In this tutorial, we will learn how to build a very simple JavaScript Text-to-Speech application using JavaScript's built-in Web Speech API .

For your convenience, we have provided the code for this tutorial application ready for you to fork and play around with over at Replit , or ready for you to clone from Github . You can also view a live version of the app here .

Step 1 - Setting Up The App

First, we set up a very basic application using a simple HTML file called index.html and a JavaScript file called script.js .

We'll also use a CSS file called style.css to add some margins and to center things, but it’s entirely up to you if you want to include this styling file.

The HTML file index.html defines our application's structure which we will add functionality to with the JavaScript file. We add an <h1> element which acts as a title for the application, an <input> field in which we will enter the text we want spoken, and a <button> which we will use to submit this input text. We finally wrap all of these objects inside of a <form> . Remember, the input and the button have no functionality yet - we'll add that in later using JavaScript.

Inside of the <head> element, which contains metadata for our HTML file, we import style.css . This tells our application to style itself according to the contents of style.css . At the bottom of the <body> element, we import our script.js file. This tells our application the name of the JavaScript file that stores the functionality for the application.

Now that we have finished the index.html file, we can move on to creating the script.js JavaScript file.

Since we imported the script.js file to our index.html file above, we can test its functionality by simply sending an alert .

To add an alert to our code, we add the line of code below to our script.js file. Make sure to save the file and refresh your browser, you should now see a little window popping up with the text "It works!".

If everything went ok, you should be left with something like this:

Step 2 - Checking Browser Compatibility

To create our JavaScript Text-to-Speech application, we are going to utilize JavaScript's built-in Web Speech API. Since this API isn’t compatible with all browsers, we'll need to check for compatibility. We can perform this check in one of two ways.

The first way is by checking our operating system and version on caniuse.com .

The second way is by performing the check right inside of our code, which we can do with a simple conditional statement:

This is a shorthand if/else statement, and is equivalent to the following:

If you now run the app and check your browser console, you should see one of those messages. You can also choose to pass this information on to the user by rendering an HTML element.

Step 3 - Testing JavaScript Text-to-Speech

Next up, let’s write some static code to test if we can make the browser speak to us.

Add the following code to the script.js file.

Code Breakdown

Let’s look at a code breakdown to understand what's going on:

With const synth = window.speechSynthesis we declare the synth variable to be an instance of the SpeechSynthesis object, which is the entry to point to using JavaScript's Web Speech API. The speak method of this object is what ultimately converts text into speech.
let ourText = “Hey there what’s up!!!!” defines the ourText variable which holds the string of text that we want to be uttered.
const utterThis = new SpeechSynthesisUtterance(ourText) defines the utterThis variable to be a SpeechSynthesisUtterance object, into which we pass ourText .
Putting it all together, we call synth.speak(utterThis) , which utters the string inside ourText .

Save the code and refresh the browser window in which your app runs in order to hear a voice saying “ Hey there what’s up!!!! ”.

Step 4 - Making Our App Dynamic

Our code currently provides us with a good understanding of how the Text-to-Speech aspect of our application works under the hood, but the app at this point only converts the static text which we defined with ourText into speech. We want to be able to dynamically change what text is being converted to speech when using the application. Let’s do that now utilizing a <form> .

First, we add the const textInputField = document.querySelector("#text-input") variable, which allows us to access the value of the <input> tag that we have defined in the index.html file in our JavaScript code. We select the <input> field by its id: #text-input .
Secondly, we add the const form = document.querySelector("#form") variable, which selects our form by its id #form so we can later submit the <form> using the onsubmit function.
We initialize ourText as an empty string instead of a static sentence.
We wrap our browser compatibility logic in a function called checkBrowserCompatibility and then immediately call this function.

Finally, we create an onsubmit handler that executes when we submit our form. This handler does several things:

event.preventDefault() prevents the browser from reloading after submitting the form.
ourText = textInputField.value sets our ourText string to whatever we enter in the "input" field of our application.
utterThis.text = ourText sets the text to be uttered to the value of ourText .
synth.speak(utterThis) utters our text string.
textInputField.value resets the value of our input field to an empty string after submitting the form.

Step 5 - Testing Our JavaScript Text-to-Speech App

To test our JavaScript Text-to-Speech application, simply enter some text in the input field and hit “Submit” in order to hear the text converted to speech.

Additional Features

There are a lot of properties that can be modified when working with the Web Speech API. For instance:

You can try playing around with these properties to tailor the application to your needs.

This simple example provides an outline of how to use the Web Speech API for JavaScript Text-to-Speech .

While Text-to-Speech is useful for accessibility, convenience, and other purposes, there are a lot of use-cases in which the opposite functionality, i.e. Speech-to-Text, is useful. We have built a couple of example projects using AssemblyAI’s Speech-to-Text API that you can check out for those who want to learn more.

Some of them are:

React Speech Recognition with React Hooks
How To Convert Voice To Text Using JavaScript

Build a Discord Voice Bot to Add ChatGPT to Your Voice Channel

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What is speech recognition? A comprehensive guide

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Text to Speech in HTML5: Enhancing Web Interaction with Voice

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Table of contents, speechify text to speech.

## Introduction to Text to Speech in HTML5Text to speech ( TTS ) technology has revolutionized how users interact with web content. HTML5, with its advanced...

## Introduction to Text to Speech in HTML5

Text to speech (TTS) technology has revolutionized how users interact with web content. HTML5, with its advanced features, allows web developers to integrate TTS capabilities, enhancing accessibility and user experience.

### What is Text to Speech?

Text to speech is a form of synthesis that converts text into spoken words. This technology is widely used in various applications to aid those with visual impairments or reading difficulties.

## The Core of HTML5 TTS: SpeechSynthesis Interface

The SpeechSynthesis interface in HTML5 is a part of the Web Speech API, enabling developers to incorporate voice capabilities in web applications.

### Utilizing the SpeechSynthesis Interface

To use SpeechSynthesis in HTML5, JavaScript plays a crucial role. The new SpeechSynthesisUtterance object allows customization of the speech output, including pitch, rate, and volume.

## Implementing TTS in HTML5: A Step-by-Step Guide

Creating a TTS-enabled web page involves several steps:

1. Setting Up the HTML Structure: Begin with a basic HTML file. Include elements like textarea for input and div for output.

2. Incorporating CSS: Use CSS to style your elements. This includes setting up classes and linking external stylesheets using link rel and href .

3. JavaScript Magic: Implement the TTS functionality using JavaScript. This includes defining variables with const , getting available voices with getVoices , and setting up event handlers.

<!DOCTYPE html>

<html>

<head>

<title>Text to Speech in HTML5</title>

</head>

<body>

<button id="speak-button">Speak</button>

</body>

</html>

## Advanced Features and Customizations

### Selecting Different Voices

Explore the variety of voices available, including different languages and accents. Use select voice and forEach to iterate through speechSynthesis.getVoices() .

### Responsive Web Design

Ensure your TTS web application is responsive. Utilize CSS and media queries to adapt to devices like Android and iOS phones.

## Real-World Applications and Use Cases

Text to speech in HTML5 has numerous practical applications:

- Educational Tools: TTS can aid in language learning and help those with reading difficulties.

- Accessibility: It's crucial for creating accessible web content for visually impaired users.

- Interactive Web Apps: Enhance user engagement in web apps through interactive voice feedback.

## Hosting and Sharing Your TTS Project

Once your project is ready, consider hosting it on platforms like GitHub. This allows you to share your work and collaborate with others.

## Conclusion: The Future of TTS in Web Development

Text to speech in HTML5 is a growing field with endless possibilities. As browsers like Chrome and Firefox continue to evolve, the capabilities of TTS will expand, making the web more accessible and interactive for everyone.

Keywords Utilized: text to speech, speechsynthesis, javascript, html, new speechsynthesisutterance, synthesis, css, getvoices, web speech api, html5, chrome, textarea, tts, div class, speech recognition, script src, stylesheet, href, different voices, const, speechsynthesis.speak, web page, available voices, onvoiceschanged, github, html file, speechsynthesis.getvoices, english, window.speechsynthesis, select voice, firefox, voice.name , utf-8, foreach, android, web application, tutorial, queryselector, link rel, preventdefault, charset, style.css, getelementbyid, index.html, enter text, dom, addeventlistener, input type, innerhtml, web apps, meta name, doctype html, event handler, en-us, text content.

Cost : Free to try

Speechify Text to Speech is a groundbreaking tool that has revolutionized the way individuals consume text-based content. By leveraging advanced text-to-speech technology, Speechify transforms written text into lifelike spoken words, making it incredibly useful for those with reading disabilities, visual impairments, or simply those who prefer auditory learning. Its adaptive capabilities ensure seamless integration with a wide range of devices and platforms, offering users the flexibility to listen on-the-go.

Top 5 Speechify TTS Features :

High-Quality Voices : Speechify offers a variety of high-quality, lifelike voices across multiple languages. This ensures that users have a natural listening experience, making it easier to understand and engage with the content.

Seamless Integration : Speechify can integrate with various platforms and devices, including web browsers, smartphones, and more. This means users can easily convert text from websites, emails, PDFs, and other sources into speech almost instantly.

Speed Control : Users have the ability to adjust the playback speed according to their preference, making it possible to either quickly skim through content or delve deep into it at a slower pace.

Offline Listening : One of the significant features of Speechify is the ability to save and listen to converted text offline, ensuring uninterrupted access to content even without an internet connection.

Highlighting Text : As the text is read aloud, Speechify highlights the corresponding section, allowing users to visually track the content being spoken. This simultaneous visual and auditory input can enhance comprehension and retention for many users.

### Frequently Asked Questions About Text to Speech in HTML

Q: How do you code text to speech in HTML?

A: To code text to speech in HTML, use the Web Speech API's SpeechSynthesis interface. You can create a new SpeechSynthesisUtterance in JavaScript, set its text content, and use speechSynthesis.speak() to initiate speech. Include elements like textarea for input in your HTML file and use JavaScript to interact with these elements.

Q: How do you add voice to text in HTML?

A: To add voice to text in HTML, use the SpeechSynthesis interface in JavaScript. Create a SpeechSynthesisUtterance object, set its text property to the desired content, and use speechSynthesis.speak() to play the voice. Utilize CSS to style your HTML elements and getVoices() to select different voices.

Q: How do I use text to speech in my browser?

A: To use text to speech in your browser, ensure that your browser supports the Web Speech API (like Chrome or Firefox). Then, use HTML and JavaScript to create a web page with TTS functionality. Use window.speechSynthesis to access the speech synthesis interface.

Q: Which browser has text to speech?

A: Browsers like Chrome, Firefox, and Safari support text to speech through the Web Speech API. Each browser may have different available voices and features.

Q: What is text to speech to text?

A: Text to speech to text typically refers to first converting written text to spoken words (TTS) and then using speech recognition to convert those spoken words back to text.

Q: What are the pros and cons of text to speech?

A: Pros include increased accessibility for users with disabilities, convenience in content consumption, and enhanced learning experiences. Cons might include a lack of emotional nuance in voices and the potential for misunderstanding due to incorrect pronunciation.

Q: How do you include audio with text to speech?

A: To include audio with text to speech, use HTML5's audio elements alongside the text to speech features. You can control the playback of both the TTS and audio files using JavaScript.

Q: What is the difference between text to speech and text to audio?

A: Text to speech refers to converting text into spoken words in real-time using synthesis. Text to audio typically involves playing pre-recorded audio files that correspond to the text.

Q: What is the difference between speech and voice?

A: Speech refers to the act of speaking or the sound produced by speaking. Voice refers to the sound's tone and quality, unique to an individual or selected in TTS systems from different available voices.

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Cliff Weitzman

Cliff Weitzman is a dyslexia advocate and the CEO and founder of Speechify, the #1 text-to-speech app in the world, totaling over 100,000 5-star reviews and ranking first place in the App Store for the News & Magazines category. In 2017, Weitzman was named to the Forbes 30 under 30 list for his work making the internet more accessible to people with learning disabilities. Cliff Weitzman has been featured in EdSurge, Inc., PC Mag, Entrepreneur, Mashable, among other leading outlets.

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10+ best javascript image sliders with source code, 30+ free login & registration form templates in html & css, 10+ website templates design in html css and javascript, how to send email in node.js using nodemailer & gmail, text to speech converter in html css & javascript.

Hey friends, today in this blog, you’ll learn how to create a Text To Speech Converter in HTML CSS & JavaScript. In the earlier blog, I have shared how to Build A Dictionary App in JavaScript , and now it’s time to create a Text To Speech Converter Web Application.

Text To Speech (TTS) is a technology that enables your text to be converted into speech sounds. In this project (Text To Speech Converter App), you can convert your text into speech on different voices. A pause and resume option is also available if your text character length is more than 80.

You can watch a demo or full video tutorial of this JavaScript project (Text To Speech Converter App – TTS).

Video Tutorial of Text To Speech Converter in JavaScript

In the video, you have seen a demo of the Text To Speech Converter App and knew how I made it using HTML CSS & Vanilla JavaScript. No external JavaScript libraries or APIs are used to make this TTS App and I hope you have liked this project.

If you liked it and want to get source codes of this Text To Speech Converter App then you can copy or download coding files from the bottom of this page. But before you go to download the codes, let’s understand the main JS codes and concepts behind creating this project.

In the JavaScript code, first, I got the user text and call a function textToSpeech() with passing user text as an argument. Inside this function, using the speech synthesis property of the window object, I converted the entered text to speech. Speech Synthesis is a web speech API that controls the speech service.

After this, I got all available voices from the user device using the getVoices() method of Speech Synthesis and insert it into HTML select tag. That’s all and I request you to watch the full video where I have explained each JavaScript line with a written comment so you can understand the codes more easily.

Text To Speech Converter in JavaScript [Source Codes]

To create this Text To Speech Converter App (TTS). First, you need to create three Files: HTML, CSS & JavaScript File. After creating these files just paste the given codes into your file. You can also download the source code files of this Text To Speech App from the given download button.

First, create an HTML file with the name of index.html and paste the given codes in your HTML file. Remember, you’ve to create a file with .html extension.

Second, create a CSS file with the name of style.css and paste the given codes in your CSS file. Remember, you’ve to create a file with .css extension.

Last, create a JavaScript file with the name of script.js and paste the given codes in your JavaScript file. Remember, you’ve to create a file with .js extension.

That’s all, now you’ve successfully created a Text To Speech Converter App in HTML CSS & JavaScript. If your code doesn’t work or you’ve faced any problem, please download the source code files from the given download button. It’s free and a .zip file will be downloaded then you’ve to extract it.

Text To Speech using JavaScript

Code Snippet:	Speech Synthesis
Author:	Aleksandar Sandro Cvetković
Published:	January 14, 2024
Last Updated:	January 22, 2024
Downloads:	783

License:	MIT
Edit Code online:

This JavaScript code snippet helps you to create Text-to-Speech functionality on a webpage. It comes with a basic interface with input options for text, voice, pitch, and rate. When you press the “Speak” button, the text you enter is converted to speech using the selected voice, pitch, and rate. The “Stop” button halts speech output. It’s helpful for adding a text-to-speech feature to web applications.

You can use this code to implement text-to-speech functionality on your website. It adds an interactive and engaging feature, making your site more inclusive.

How to Create Text To Speech Functionality Using JavaScript

1. In your HTML file, create a structure for the TTS interface. You can use the following HTML code as a starting point. It includes input fields for text, voice selection, pitch, and rate, along with buttons for speaking and stopping the speech.

2. Apply the following CSS code to style the TTS interface. This will make it visually appealing and user-friendly. You can further customize the CSS to match your website’s design.

3. Finally, add the following JavaScript code to your project. It sets up the SpeechSynthesis API to handle text-to-speech. It also populates the voice selection dropdown with available voices. You can further customize the code to modify voice options or enhance user interactions.

That’s all! hopefully, you have successfully created Text-to-Speech feature using JavaScript. If you have any questions or suggestions, feel free to comment below.

Similar Code Snippets:

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How do I implement text-to-speech in html or javascript for web browsers? [closed]

I want a webpage to read some text out loud (in a robot voice!).

On this webpage, there's a button that, when clicked, randomly displays one of 3 sentences. I'd like to have another button that can be clicked that will read the text aloud. Alternatively, the text can be read aloud automatically when the first button is clicked.

here's the relevant code...

I am a newbie, so I'm wondering if there's a simple way to do this. thanks!

accessibility
text-to-speech

vozme.com/webmasters.php?lang=en – Matthew Lock Commented Nov 21, 2013 at 2:39
stackoverflow.com/questions/144117/… – Matthew Lock Commented Nov 21, 2013 at 2:39
I saw the older stackoverflow post, but was wondering about a solution that would work w/ any browser. I will check out vozMe, though, thanks! – chrisg Commented Nov 21, 2013 at 14:51
responsivevoice.org is very good see this – xrcwrn Commented Dec 31, 2014 at 8:32

I have used speak.js for some personal projects before.

From the GitHub page:

A port of the eSpeak speech synthesizer from C++ to JavaScript using Emscripten. Enables text-to-speech on the web using only JavaScript and HTML5. Online demo: http://syntensity.com/static/espeak.html

this worked perfectly. I would upvote your answer but my reputation is too low. thanks. – chrisg Commented Nov 21, 2013 at 21:12

Not the answer you're looking for? Browse other questions tagged javascript jquery html accessibility text-to-speech or ask your own question .

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Voice Over App

Try our text to voice app free - no registration required. Use 700 natural reader text to speech voices in 100 languages.

For more voices (we have more than 700 text to voice voices online), check out our Text to Audio tool . You can use it to generate content in other languages ( more than 100 languages and accents available ), set additional options such as voice speed and output format (MP3, WAV, MP4).

Voice Artificial Intelligence

Using voice artificial intelligence brings significant benefits for content production, particularly in efficiency and consistency. A voice over app such as Narakeet enables creators to generate high-quality audio content quickly, reducing the time and effort traditionally required to record a narrator’s voice. This is especially useful for projects with tight deadlines, where re-recording sections due to errors or changes can be time-consuming.

What’s really cool about a voice to-speech app is how consistent it is. Once you’ve got your text ready, the app can produce the same high-quality audio every time, without any of the little variations that come with recording live. This is perfect for things like e-learning, audiobooks, or podcasts, where you want your narrators to sound the same each time your audience hits play.

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If our artificial intelligence voice generator free account is not enough for your needs, check out paid plans . You can get significantly higher conversion capacity and commercial usage rights for a fraction of the price you’d pay narrators.

Text to Voice Generator

Imagine using a voice over app to quickly generate audio without the hassle of setting up recording sessions. No more worrying about getting the perfect take from a narrator’s voice—just type out your script, and tools like natural reader text to speech handle the rest. It’s like having a reliable narrator ready to go whenever you need them.

Plus, using voice artificial intelligence means you don’t have to juggle schedules or manage different narrators. Everything is streamlined, making the whole process faster and easier. With a voice over app or a voice to-speech app like natural reader text to speech, creating consistent, professional audio content has never been simpler.

Text-to-voice voices

Narakeet’s voice artificial intelligence platform has a huge variety of voices available for text-to-speech conversion, supporting more than 100 languages and regional accents. Whether you’re working on a global project or just want your content to have a specific flavor, our voice over app can provide a voice to perfectly fit your content. From major languages such as British English or Japanese , to regional languages with only a few hundred thousand speakers such as Malthese or Icelandic , we have plenty of options to make your audio sound just right.

Different voices can really set the tone for your content. For instance, a deep, authoritative narrator’s voice might be perfect for an audiobook or a documentary, while a friendly, upbeat voice might be better for a children’s story or an explainer video. With natural reader text to speech conversion, you can easily experiment with different options until you find the one that clicks.

We also have many polyglot voices trained to speak multiple languages seamlessly. These narrators can switch between languages in the same content, which is super handy for multilingual projects. Using a voice to-speech app with these capabilities lets you create content that feels natural and engaging, no matter the language or accent. It’s amazing how voice artificial intelligence can bring such a personal touch to digital content!

Check out the full list of text-to-voice voices for a detailed menu of all the voiceover options.

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Use Filmora’s Text-to-Speech Tool

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Text To Speech Using HTML and JavaScript (Source Code)

Hello there! In this tutorial will teach you how to make a Text to Speech using HTML, CSS, and JavaScript. You have to just type your text select a voice and click on speak and it's done. and now it's time to create a Text To Speech Converter Web Application.

Text-to-speech (TTS) technology converts your text into spoken sounds. You can convert your text to speech in different voices with this project (Text To Speech Converter App). If your text character length exceeds 80, you can also pause and resume using stop and speak button.

It was created with HTML, CSS, and plain JavaScript. This TTS program uses no external JavaScript libraries or APIs, and I hope you will enjoy our article.

I shared How to Build a Currency Converter App in HTML, CSS, and JavaScript in an earlier blog; if you haven't read that yet, just click the link below,

Prerequisites:

I hope now you have a general idea of what the project entails. In our article, we will go over this project step by step.

Step1: Text to Speech Html Code:-

Create an HTML file called index.html and paste the following codes into it. Remember to save the file with the .html extension.

We'll begin by adding the project's structure, but first we'll need to include certain items inside the link, such as the fact that we've used multiple CSS and javascript files, which we'll need to link up inside our HTML file.

Now we'll put the structure of our text-to-speech converter within the body tag. The div tag will be used to build a container for our text-to-speech converter. Using the h1 tag, we will add a header for our text-to-speech converter inside our div. We'll add numerous voices to our text-to-speech converter and generate a list of alternatives for different voices using the element.

Now we'll add two sliders by using the tag with the type set to range. The first slider will be used to change the voice rate. We can change the speed of the voices by dragging the slider. The second slider will be used to adjust the pitch of the voice between high and low.

Now, we'll utilise the element to build a text area where the user may write text and the voice-over artist will read it. Now, we'll make two buttons with the button tag: stop and speak.

We don't need anything else to develop the structure for our Text-to-speech converter. We'll style our TTS now that we've learned how to use CSS. But first, let's have a peek at our framework.

Step2: Adding CSS Code:-

Cascading Style Sheets (CSS) is a markup language for describing the presentation of a document written in HTML or XML. CSS, like HTML and JavaScript, is a key component of the World Wide Web. Create a CSS file with the name style.css and paste the following codes into it. Always save the file with the.css extension.

Step1: will first use the Google import link to import the link for the Google fonts. We will now add styling to our body using the HTML tag selector. We will adjust the font-size of our body using the font-size property, and we will set the box-sizing to "border-box" using the box-sizing property. We will also the margin and padding as "zero".

Using the background property we will change background as light blue and display is set to flex . Using the align-item property we will aling the items to the "center".

Step2: We will now add styling to our container using the class selector (.voicenator). To give some smooth edges, we will add a padding of 20px, set the width to 5o, and use the border radius property to add a border radius of 1rem. We will add a box shadow to our TTS converter by using the box-shadow property.

Step3: Now we'll use the tag selector (h1) to add styling to our HTML element, calculate the width, and add an extra 4 rem with 100% width to our heading. We will also use the text-align property to center the text, and the font-family property to set the font family as "PT-Sans."

Using the multiple class selector, we will add a common style to our input, button, select, and textarea. We will set their width to 100% and the display property to "block." We'll also insert some padding and margin. We'll make the backdrop white with a border of 2 pixels of solid grey.

Step4: Now all we need to do is style our labels and buttons. Our label will have a font size of 2 rem and a textarea height of 20 px.

We will now add some height and background colour to our input type of using the input type selector "range Using the class selector will make our option appear as "inline-block and an SVG for the background.

Step3: Text to Speech Html Code:-

Finally, create a JavaScript file called script.js and paste the following codes into it. Remember to save the file with the.js extension.

To begin, we will use the new keyword to make an instance of the variable message, and the let keyword to establish an empty array of voices.

We will select all HTML elements and store their values in a constant variable using the document.queryselector() method. Now we will save the value of our message variable and use the document to choose the content of our textarea. queryselector with an HTML name.

Now we will create a function populatevoices() inside the function using the this.getVoices() method returns a list of SpeechSynthesisVoice objects representing all available voices on the current device.

Now we will set the voice for that we will create a setvoice() function we will set the voice.

we will create a toggle function with a parameter startover = true , if the speech.synthesis then voice will speakout the message in the text area.

Now we will add eventlistener to the voicechange ,stop and speak button.

Now we've completed our Text to speech using HTML, CSS & javascript. I hope you understood the whole project.

Now We have Successfully created our Text to speech using HTML, CSS & javascript. You can use this project directly by copying it into your IDE. We hope you understood the project, If you have any doubts feel free to comment!!

If you find out this Blog helpful, then make sure to search Codewithrandom on Google for Front End Projects with Source codes and make sure to Follow the Code with Random Instagram page.

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ElevenLabs’ text-to-speech app Reader is now available globally

ElevenLabs Reader app shown in handheld smartphone

ElevenLabs , a startup developing AI-powered tools to create and edit synthetic voices, is making its Reader app available across the world with support for 32 languages.

The app, first released in June in the U.S., the U.K. and Canada, lets users upload any text content — like articles, PDF documents or e-books — and listen to it in different languages and voices. Reader now supports languages including Portuguese, Spanish, French, Hindi, German, Japanese, Arabic, Korean, Italian, Tamil and Swedish.

ElevenLabs, which became a unicorn earlier this year after raising $80 million from investors, including Andreessen Horowitz, provides an API that companies can use for various use cases like dubbing or text-to-speech. The company powers voice interactions on the Rabbit r1 , as well as text-to-speech features on AI-powered search engine Perplexity and audio platforms Pocket FM and Kuku FM . The Reader app is its first consumer-facing product.

The startup said it has added hundreds of new voices from its library that are suited for different languages. Last month, the company licensed the voices of actors such as Judy Garland, James Dean, Burt Reynolds and Sir Laurence Olivier for the app.

ElevenLabs said the extended language support is powered by its Turbo v2.5 model, released last month , which purportedly reduces the latency of text-to-speech conversion and improves quality.

The Reader app’s closest rival is Speechify , which offers additional features like scanning documents for text, integrations with Gmail and Canvas, as well as letting users clone their own voice to read out text. Mozilla-owned Pocket and The New York Times’ Audm-based audio app also let users listen to content.

ElevenLabs said it would add more features to the app, such as offline support and the ability to share audio snippets.

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Efficient and robust arabic automotive speech command recognition system.

1. Introduction

We constructed the first automotive speech recognition system in the Arabic language in the Arab world.
We built the first Moroccan Arabic dataset in the automotive speech recognition field that is representative and simulates real-time conditions.
We developed a hybrid deep-learning model that combines Bidirectional Long Short-Term Memory architecture and a Convolutional Neural Network into one unified architecture Bi-LSTM-CNN for driver command reorganization in the Arabic language.
We developed a model that outperformed the proposed method in the state-of-the-art literature.

2. Literature Review

3. methodology, 3.1. dataset building, 3.1.1. command choice.

Q1: Do you think a voice-controlled option will improve the driving experience?
Q2: If you would use voice control in your car, what commands feel safe to use?
High Acceptance Rate: Navigation, Phone, and Media commands were highly accepted, receiving 100% acceptance rates, while climate control commands had an 83.33% acceptance rate and interior lights received a slightly higher rate of 91.67%. Additionally, the acceptance rate for window commands was 75%.
Low Acceptance Rate: Commands concerning seat positions, exterior lights, mirror adjustments, and gear shifting received low acceptance rates.
Zero Acceptance Rate: Speed, Brakes, and Clutch controlling commands received 0% acceptance rates.

3.1.2. Final Dataset Description

3.2. speech feature extraction, 3.2.1. mel-frequency cepstral coefficient (mfcc), 3.2.2. weighted mel-frequency cepstral coefficient (wmfcc), 3.2.3. spectral subband centroids (sscs), 3.3. classifier selection, 3.3.1. machine-learning models, 3.3.2. deep-learning models, convolutional neural networks (cnn), long short-term memory networks (lstm), bidirectional long short-term memory networks (bi-lstm), bilstm-cnn architecture, 3.3.3. transformers, fine-tuning the wav2vec2 model, 3.4. out-of-corpus command handling, 4. experiment results and discussion, 4.1. dataset collection procedure.

Northern dialect/Jebli.
Northeastern dialect/Rif Amazigh language/Tarifite.
Eastern Moroccan dialect/Oriental Moroccan Arabic/Bedwi.
Nord-Ouest dialect/Standard Moroccan Arabic dialect/Rubi.
languages of the Middle Atlas/Tamazight.
languages of the Souss/Tachelhite.
Sahara Arabic dialects/Hassani Arabic/Ribi.

4.2. Data Split

4.3. performance measures, 4.4. preliminary results, 4.5. data augmentations, 5. conclusions and feature work, author contributions, data availability statement, conflicts of interest.

#	Keyword	Translation	Pronunciation
Com-1	حل البيبان	Unlock doors	Ħall alabibaːn
Com-2	سد البيبان	Lock doors	Sadd alabibaːn
Com-3	حل الكوفر	Open the backdoor	Ħall alakawfar
Com-4	سد الكوفر	Close the backdoor	Sadd alakawfar
Com-5	شعل الراديو	Turn radio on	ʃaʕal alaɾaːdijuː
Com-6	طفي الراديو	Turn radio off	tˤɑfiː alaɾaːdijuː
Com-7	بدل الإذاعة	Change the radio station	Badal ala ʔiðaːʕa
Com-8	نقص الصوت	Decrease volume	naqɑsˤɑ al sˤɑwwat
Com-9	زيد الصوت	Increase volume	zaid ala sˤɑwwat
Com-10	جاوب ابيل	Answer the call	ǯaːwab ʔabi:l
Com-11	قطع ابيل	Decline the call	qɑtˤɑʕ ʔabi:l
Com-12	شعل الضو	Turn light on	ʃaʕal dˤɑwʔ
Com-13	طفي الضو	Turn light of	tˤɑfiː dˤɑwʔ
Com-14	هبط السرجم	lower the side window	Habit saɾaǯam
Com-15	طلع السرجم	Raise the side window	tˤɑlaʕ saɾaǯam
Com-16	كاين الحرارة	It’s hot/release cold air	kaːin ala ħaɾaːɾa
Com-17	كاين البرد	It’s cold/release hot air	kaːin ala bard
Com-18	خدم السويكالاص	Activate windshield wiper	Xadam s-suː ka-las
Com-19	وقف السويكالاص	Deactivate windshield wiper	waqɑf s-suː ka-las
Com-20	حل كابو	Open the bonnet door	Ħall ka:po

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Click here to enlarge figure

Model	Train Acc%	Val Acc%	Train Loss	Val Loss	Params
KNN	79.99	51.96	-	-	-
RF	98	58.912	-	-	-
SVM	40.29	36.72	-	-	-
LR	37.57	36.54	-	-	-
CNN	98.62	71.44	0.0450	1.0101	765,844
LSTM	97.30	56.86	0.1648	1.7204	512,020
Bi-LSTM	95.98	66.31	0.0274	1.3029	1,386,004
BiLSTM-CNN	99.26		0.0112	1.0070	813,588

Features/Model	KNN%	RF%	SVM%	LR%	CNN%	LSTM%	BiLSTM%	BiLSTM-CNN%
MFCC	57.48	70.85	52.05	45.27	83.33	55.97	79.95	81.37
SCC	42.07	55.53	26.56	24.24	58.56	41.44	58.73	62.30
WMFCC	65.86	85.83	57.75	46.35	92.06	75.85	90.96	91.62
MFCC + SCC	57.66	71.66	55.08	49.73	81.46	54.19	77.90	78.07
WMFCC + SCC			70.94	59.36
MFCC + WMFCC	64.94	84.48	81.18	73.51	91.44	69.85	87.24	89.65
MFCC + WMFCC + SCC	63.99	84.76			89.75	67.02	90.46	90.55

Features/Model	KNN%	RF%	SVM%	LR%	CNN%	LSTM%	BiLSTM%	BiLSTM-CNN%
MFCC	74	85	50	42	88.99	77.58	91.49	92.08
SCC	65	69	23	22	67.29	64.30	73.93	76.06
WMFCC	79	88	53	43	93.27	83.96	93.72	97.17
MFCC + SCC	75	87	54	47	89.30	70.72	90.42	93.82
WMFCC + SCC	77	89	65	53	94.13	84.00	94.63
MFCC + WMFCC	78	88	78	67	93.05	80.26	94.30	96.66
MFCC + WMFCC + SCC	78	89	80	69	93.00	79.41	94.16	95.75

Features/ Article Ref	Hamza et al. (2009) [ ]	Hamza et al. (2009) [ ]	Ibrahim and Saad (2022) [ ]	Ghandoura et al. (2021) [ ]	Our Model
Dataset Size	4800	4800	720	12,000	5600
Number of Commands	12	12	5	40	20
Model used	HMM	HMM &GMM	SVM	CNN	BiLSTM—CNN
Performance (Accuracy)	76%	82%	95.48%	97.97%

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Ouali, S.; El Garouani, S. Efficient and Robust Arabic Automotive Speech Command Recognition System. Algorithms 2024 , 17 , 385. https://doi.org/10.3390/a17090385

Ouali S, El Garouani S. Efficient and Robust Arabic Automotive Speech Command Recognition System. Algorithms . 2024; 17(9):385. https://doi.org/10.3390/a17090385

Ouali, Soufiyan, and Said El Garouani. 2024. "Efficient and Robust Arabic Automotive Speech Command Recognition System" Algorithms 17, no. 9: 385. https://doi.org/10.3390/a17090385

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Full Transcript of Kamala Harris’s Democratic Convention Speech

The vice president’s remarks lasted roughly 35 minutes on the final night of the convention in Chicago.

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People watch as Kamala Harris speaks on a large screen above them.

By The New York Times

Aug. 23, 2024

This is a transcript of Vice President Kamala Harris’s speech on Thursday night in which she formally accepted the Democratic Party’s nomination for the presidency.

OK, let’s get to business. Let’s get to business. All right.

So, let me start by thanking my most incredible husband, Doug. For being an incredible partner to me, an incredible father to Cole and Ella, and happy anniversary, Dougie. I love you so very much.

To our president, Joe Biden. When I think about the path that we have traveled together, Joe, I am filled with gratitude. Your record is extraordinary, as history will show, and your character is inspiring. And Doug and I love you and Jill, and are forever thankful to you both.

And to Coach Tim Walz. You are going to be an incredible vice president. And to the delegates and everyone who has put your faith in our campaign, your support is humbling.

So, America, the path that led me here in recent weeks was, no doubt, unexpected. But I’m no stranger to unlikely journeys. So, my mother, our mother, Shyamala Harris, had one of her own. And I miss her every day, and especially right now. And I know she’s looking down smiling. I know that.

So, my mother was 19 when she crossed the world alone, traveling from India to California with an unshakable dream to be the scientist who would cure breast cancer.

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