Using a Raspberry Pi, an Arduino, an Adafruit NeoPixel Ring and a servomotor, Japanese makers HomeMadeGarbage produced this Pronunciation Training Machine to help their parents distinguish ‘L’s and ‘R’s when speaking English.
23 Likes, 1 Comments – Home Made Garbage (@homemadegarbage) on Instagram: “L R 発音矯正ギブス お母ちゃん編 Pronunciation training machine #right #light #raspberrypi #arduino #neopixel”
How does an Pronunciation Training Machine work?
As you can see in the video above, the machine utilises the Google Cloud Speech API to recognise their parents’ pronunciation of the words ‘right’ and ‘light’. Correctly pronounce the former, and the servo-mounted arrow points to the right. Pronounce the later and the NeoPixel Ring illuminates because, well, you just said “light”.
You can find the full code for the project on its hackster page here.
Variations on the idea
It’s a super-cute project with great potential, and the concept could easily be amended for other training purposes. How about using motion sensors to help someone learn their left from their right?
Or use random.choice to switch on LEDs over certain images, and speech recognition to reward a correct answer? Light up a picture of a cat, for example, and when the player says “cat”, they receive a ‘purr’ or a treat?
Raspberry Pi-based educational aids do not have to be elaborate builds. They can use components as simple as a servo and an LED, and still have the potential to make great improvements in people’s day-to-day lives.
Your own projects
If you’ve created an educational tool using a Raspberry Pi, we’d love to see it. The Raspberry Pi itself is an educational tool, so you’re helping it to fulfil its destiny! Make sure you share your projects with us on social media, or pop a link in the comments below. We’d also love to see people using the Pronunciation Training Machine (or similar projects), so make sure you share those too!
A massive shout out to Artie at hackster.io for this heads-up, and for all the other Raspberry Pi projects he sends my way. What a star!
Source: RaspberryPi – IOT Anonimo
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