Speech Recognition AI + Home Assistant - Tutorial

Introduction

Since my last video received positive feedback and garnered attention, I've decided to create a comprehensive tutorial on how to get this speech recognition AI application up and running. This guide will cover downloading the application, setting it up on different platforms, and integrating it with Home Assistant.

Step-by-Step Guide

1. Downloading the Application

1. Visit my GitHub repository and navigate to the "Releases" section.
2. Download the latest release, which is a .jar file, approximately 150 kilobytes in size.
3. Place the downloaded file in an empty directory on your computer.

2. Running the Application

On Windows

1. Double-click the .jar file to launch it. If you encounter any issues:
   • Ensure you have JDK or JRE version 1.8 installed, including the JavaFX framework.
   • Set up the launch command correctly using your JDK path:

   "C:\Path\to\jdk1.8\bin\java.exe" -jar yourfile.jar
   

   • If double-clicking doesn't work, create a batch file (run.bat) in the same directory as the .jar file with the following content:

   SET JAVA_HOME=C:\Path\to\jdk1.8
   SET PATH=%JAVA_HOME%\bin;%PATH%
   java -jar yourfile.jar
   

On Linux

1. Create a shell script (script.sh) with the following content:

   sudo java --module-path /path/to/javafx/lib --add-modules javafx.controls,javafx.fxml -jar yourfile.jar
   

2. Run the script in the terminal:

   sudo sh script.sh
   

3. Application Overview

Upon successfully launching the application, it generates several files with default values.

Interface Sections

• Record Data: Here, you record and label the data you want the neural network to learn.
• Adding Data: Use this section to add labels to your recordings.
• Neural Network Setup: Configure hidden layers. It’s recommended to add several layers (5-6) for better performance.
• Training: Train the neural network with multiple recordings of each word or phrase.

Important Tips

• Record variations in tone and mood to help the neural network recognize words in different contexts.
• Save progress periodically. You can continue training later if needed.

4. Speech Section and Settings

Configure additional settings like:

• Tokens: Change the default token for secure access.
• Word Commands: Map spoken words to commands for IoT devices.
• Responses: Set predefined responses for specific words.
• Web Hooks: Integrated webhooks to trigger actions in Home Assistant.

  http://your-home-assistant-ip:8123/api/webhook/your-webhook-id
  

Keyword

• AI Application
• Speech Recognition
• Tutorial
• Jar File
• JDK 1.8
• JavaFX
• Neural Network
• Home Assistant
• Web Hooks

FAQ

Q: How do I download the speech recognition application? A: Visit the GitHub repository, navigate to the "Releases" section, and download the latest .jar file.

Q: What should I do if the .jar file doesn't launch on Windows? A: Ensure you have JDK or JRE 1.8 installed, set up the launch command correctly, or create a batch file to run the application.

Q: How can I run the application on Linux? A: Create a shell script with the necessary commands and run it using sudo sh script.sh.

Q: How do I configure the neural network for better performance? A: Record multiple variations of each word, configure several hidden layers, and save progress periodically.

Q: How can I integrate speech recognition with Home Assistant? A: Use webhooks and map spoken words to specific actions in the Home Assistant configuration settings.