Speech recognition based home automation

Learn and explore the concepts of speech recognition and control to get started on your DIY smart home.

4.00 (37 reviews)
Udemy
platform
English
language
Hardware
category
Speech recognition based home automation
417
students
1.5 hours
content
Nov 2017
last update
$44.99
regular price

What you will 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.

Why take this course?

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.

Screenshots

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Reviews

Christopher
November 3, 2018
The linux configuration section is very informative. The course material was obviously revised to handle the fact that changes were made to the OS regarding sound recording and playback. It would have been nice to have some more information about offline speech recognition systems like sphinx or julius, as sometimes, online is not always an option
Carlos
December 27, 2017
The course is good but it is to short. I think that some lectures could be explained with more detail.
Mr
October 11, 2017
Course was short and straight. Connected with real world and practical application. Could be better if more real world or innovative projects were developed and explained like smartmirror or some other practical uses and projects with servo motors. Overall I am happy with the time I invested in this course. Thanks, Anmol
Sajal
July 7, 2017
it is too basic and no new thing is being introduced ,every one uses relay only not any different hardware. the software part is interesting and the technical support team is really helpful
Brian
February 10, 2017
Topics were covered but it felt as if some in depth discussion during the course topics would have really helped with the understanding of what was being done instead of simply following the steps give.

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964958
udemy ID
9/22/2016
course created date
11/22/2019
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