What you'll learn

Learn basic concepts of speech recognition, the Jasper voice-control platform, and Snowboy hotword detction.
Learn how to integrate Snowboy's offline hotword detection with Jasper's voice platform.
Learn to connect appliances to the Raspberry Pi using relay modules.
Program Jasper voice-controlled modules to control lights, fans, and a servo motor.
Apply the above to setup a custom/personalized automation system.

Course content

4 sections • 23 lectures • 1h 19m total length

What you will learn from the course3:02
This lecture gives you a complete overview of the course. It contains a rundown of the course contents.
Speech recognition-based home automation5:38
This lecture is meant to be an introduction to the concepts of automation and speech recognition. It also outlines the advantages of an automated system over conventional systems.
Hardware and software9:44
This lecture lists the various hardware and software requirements of the speech-recognition based home automation system.
The lecture is divided into two parts - Hardware and software requirements - with the software requirement section providing a brief introduction to each software platform or application.
Quiz - 1

Getting started10:47
This lecture is the starting point of the project. It focuses on setting up a USB audio device connected to the Raspberry Pi and then installing the Jasper voice platform and eSpeak-TTS on the Pi.
Setting up Audio devices for the latest version of Raspbian Jessie1:13
Configuring Jasper and setting up wit.ai8:35
This lecture deals with post-installation configuration of the Jasper voice platform.
This includes setting up of a personalized Jasper profile, changing Jasper's microphone settings to improve quality, and adding the Speech-to-Text and Text-to-Speech engines to the Jasper platform.
This lecture also guides you through training and validating your wit.ai bot.
Setting up Jasper using Google Speech API as STT engine1:02
Step by step procedure for installing Jasper with Wit.ai STT and espeak TTS1:42
Using Snowboy for keyword detection11:28
This lecture begins the process of modifying Jasper to swap its passive listening feature for Snowboy hotword detection.
This lecture involves a step-wise guide to installing Snowboy hotword detection on the Raspberry Pi followed by its integration to the Jasper voice platform.
Generating pmdl file for snowboy from raspberry pi, using the snowboy API0:50
Modified Jasper files - Snowboy integration0:05
This lecture contains new Python files required to swap Jasper's passive listening feature with Snowboy's hotword detection.
It also contains reference material that can be used to edit the existing Python files for Snowboy integration and customization.
Quiz - 2

Developing your standard module4:43
This lecture is meant as a guide to aid in the writing of custom voice modules for the Jasper platform. It contains brief explanations and examples on how to write a standard Jasper voice module.
Circuit diagram - Light and fan control
This lecture contains a pictorial representation of the circuit and connections needed to setup the basic lighting and fan control system.
Creating the home automation module3:37
This module teaches you how to write a very basic light and fan control Jasper voice module.
It involves multiple lines of Python code and step-by-step explanations for each segment of the code.
Source code - Light.py0:04
This lecture contains complete error-free source code of the Jasper voice module for light and fan control.
Real time demonstration - Light and fan control1:22
This lecture demonstrates the real time working of the home automation system using the voice Jasper module created in the preceding lectures.
Light and Fan control using Snowboy1:42

Circuit diagram - Motor control
This lecture contains a pictorial representation of the circuit needed to setup a servo motor control system.
Servo motor control - Jasper module7:57
This lecture begins with a brief introduction to servo motors.

The lecture then moves on to writing a Jasper voice module to control a servo motor. It is a guide to the Python code - including the file handling I/O section. The code is split into manageable sections for ease of understanding.
Source code - Motor.py0:04
This lecture contains complete error-free source code of the Jasper voice module for servo motor control.
Real time demonstration - Motor control2:35
This lecture demonstrates the real time working of servo motor voice-control system using the Jasper voice module created in the preceding lectures.
Controlling Servomotor using Snowboy0:25
Quiz - 3
Conclusion3:20
The final lecture of this course. Contains a summary of the course and outlines avenues for possible expansion of the project.

Requirements

Basic knowledge of Linux - basic navigation, and ALSA configuration.
Python programming knowledge - the regular expression operations module and file handling I/O
Basic working knowledge of household appliances (fans, lights etc.) and circuitry.

Description

This course will focus on teaching you how to set up your very own speech recognition-based home automation system to control basic home functions and appliances automatically and remotely using speech commands. Furthermore, we will teach you how to control a servo motor using speech control to move the motor through a required angle.
To learn how to automate your home, the best place to start is with your personal needs. So, in this course, we will focus on basic control of lighting and ventilation inside a home. This will give you a solid base to build upon by teaching you the basics required for simple speech-controlled automation and enable you to automate almost any appliance in your house – limited only by your creativity and knowledge.
Once we have grasped basic lighting control, we will move on to controlling a servo motor using PWM output from the Raspberry Pi GPIO pin. We will also use python file I/O to store the motor’s position.
This home automation course will involve teaching you how to control and automate lighting and ventilation appliances, with the potential for expansion of the system to control a variety of services and functions – from home appliances to monitoring and security systems. The system used for home automation will involve using Raspberry Pi 3 and writing python codes as modules for Jasper, which is an open-source platform for developing always-on speech controlled applications.
This course aims to help you attain control of household activities, and appliances via futuristic speech recognition. Using Speech-to-text and text-to-speech engines, it is possible to communicate effectively and efficiently with Jasper to carry out simple commands or tasks like activating, and deactivating relay switches to control home appliances without the need for physical exertion.
This course will also teach you how to modify the open source Jasper platform to use Snowboy hotword detection engine for offline speech recognition for keyword detection while using wit ai online speech recognition for command word detection. We do this as a precaution to safeguard the privacy of the user while retaining Jasper’s always listening feature.

Who this course is for:

This course is meant for anyone with an interest in speech recognition and home automation.
This course requires basic knowledge of the Raspberry Pi, Python programming, and Linux.
This course is meant for intermediate-level programmers looking to create a personalized speech-control system.

What you'll learn

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Course content

Introduction to speech recognition based home automation3 lectures • 18min

Software installation8 lectures • 36min

Programming the Jasper platform6 lectures • 11min

Servo motor control6 lectures • 14min

Requirements

Description

Who this course is for: