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Learn Flutter Speech to Text & Voice Recognition

Updated on Dec 27,2023

Learn Flutter Speech to Text & Voice Recognition

Table of Contents

  1. Introduction
  2. Creating the UI
    1. Setting up the project
    2. Creating the app bar
    3. Styling the app bar
    4. Adding padding and margin
    5. Creating the text widget
    6. Creating the floating action button
    7. Styling the floating action button
    8. Adding functionality to the button
  3. Recording the voice
    1. Adding necessary dependencies
    2. Changing build.gradle file
    3. Adding permissions in AndroidManifest.xml
    4. Initializing the Speech to Text object
    5. Implementing the onTab functionality
    6. Implementing the onRelease functionality
  4. Displaying the converted text
    1. Wrapping the container in a SingleChildScrollView
    2. Making the container scrollable
    3. Changing the text color dynamically
  5. Conclusion

Creating a Speech to Text Converter in Flutter

In this article, we will learn how to Create a speech to text converter in Flutter. By using this converter, users will be able to convert spoken words into text. We will start by creating the user interface, then add the necessary functionality for recording and converting the voice. Finally, we will display the converted text on the screen. So, let's get started!

1. Introduction

The speech to text converter is a useful tool that allows users to convert spoken words into text. This can be helpful in various applications, such as voice assistants, transcription services, and more. In this article, we will be creating a speech to text converter using Flutter, a popular cross-platform framework for building mobile applications.

2. Creating the UI

2.1 Setting up the project

To begin, we need to set up our Flutter Project in VS Code. This involves creating the necessary files and dependencies. Once the project is set up, we can proceed with creating the user interface.

2.2 Creating the app bar

We will start by creating the app bar for our speech to text converter. The app bar will contain the title of the application, which is "Speech to Text". We will use a Material widget for the app bar and set the home property to our main screen.

2.3 Styling the app bar

To style the app bar, we will use the TextStyle widget. We will make the title bold by setting the fontWeight property to FontWeight.w600. Additionally, we will change the color of the title by using a custom color from our colors file.

2.4 Adding padding and margin

To add padding and margin to our screen, we will use the EdgeInsets.symmetric widget. We will set the horizontal padding to 24 and the vertical padding to 16. This will give some spacing around the text widget.

2.5 Creating the text widget

Next, we will create the text widget that will display the converted text. We will use the Align widget to center the text widget on the screen. We will style the text widget by setting the fontSize, color, and fontWeight properties.

2.6 Creating the floating action button

Now, let's create the floating action button that will be used for recording the voice. We will use a FloatingActionButton widget and set the background color to a custom color from our colors file. We will also set the radius of the button to 35.

2.7 Styling the floating action button

To style the floating action button, we will use the CircleAvatar widget. We will wrap the CircleAvatar widget with a GlowAvatar widget from the AvatarGlow Package. This will add a glowing effect to the button. We will also set the glowColor property to the same color as the background color of our app bar.

2.8 Adding functionality to the button

To add functionality to the floating action button, we will use a GestureDetector widget. We will detect the tap-down event and set the isListening state variable to true. This will start the animation and the recording. When the user releases the button, we will set the isListening variable to false and stop the recording.

3. Recording the voice

3.1 Adding necessary dependencies

Before we can Record the voice, we need to add the necessary dependencies to our project. We will use the speech_to_text package, which provides functionality for speech recognition.

3.2 Changing build.gradle file

To enable speech recognition in our application, we need to make some changes to the build.gradle file. We will change the compileSdkVersion to 33 and the minSdkVersion to 21. These changes will ensure that our application supports the latest version of Android.

3.3 Adding permissions in AndroidManifest.xml

To use the microphone and internet for speech recognition, we need to add the necessary permissions in the AndroidManifest.xml file. We will add the RECORD_AUDIO and INTERNET permissions to the manifest.

3.4 Initializing the Speech to Text object

To use speech recognition, we need to create an instance of the SpeechToText object. We will initialize this object and store the result in a Boolean variable called available. This variable will indicate whether speech recognition is available on the device.

3.5 Implementing the onTab functionality

When the user taps and holds the floating action button, we want to start the animation and initiate speech recognition. To do this, we will use the onTapDown event and set the isListening state variable to true. We will also set up a callback function to handle the result of the speech recognition.

3.6 Implementing the onRelease functionality

When the user releases the floating action button, we want to stop the animation and stop the speech recognition. We will use the onTapUp event to set the isListening state variable to false and stop the speech recognition.

4. Displaying the converted text

4.1 Wrapping the container in a SingleChildScrollView

To make our container scrollable, we will wrap it in a SingleChildScrollView widget. This will allow the user to scroll the container if the text overflows.

4.2 Making the container scrollable

To make the container scrollable, we will set the reverse property of the SingleChildScrollView widget to true. We will also add a bouncing effect by setting the physics property to AlwaysScrollableScrollPhysics.

4.3 Changing the text color dynamically

To change the color of the text dynamically Based on whether speech recognition is active or not, we will use a conditional statement. If isListening is true, we will set the color to black. Otherwise, we will use the default color.

5. Conclusion

In this article, we learned how to create a speech to text converter in Flutter. We started by creating the user interface, including the app bar, text widget, and floating action button. Then, we added the functionality to record the voice using the speech_to_text package. Finally, we displayed the converted text on the screen. By following this article, You can create your own speech to text converter in your Flutter applications.

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