Raspberry Pi And Alexa Make Teddy Ruxpin Smarter Than The Average Bear

December 24, 2016 by Dan Maloney 9 Comments

Behold the unholy union of Amazon’s Alexa and that feature-limited animatronic bear from the 80s, Teddy Ruxpin. Alexa Ruxpin?

As if stuffing Alexa inside a talking fish weren’t bad enough, now Amazon’s virtual assistant can talk to you through the creepy retro plush thanks to [Tinkernut]’s trip down memory lane. Having located a Teddy Ruxpin on eBay for far less than the original $70 that priced it out from under his childhood Christmas tree, [Tinkernut] quickly learned that major surgery would be necessary to revive the Ruxpin. The first video below shows the original servos being gutted and modern micro servos grafted in, allowing control of the mouth, eyes, and nose via an Arduino.

With the bear once again in control of its faculties, [Tinkernut] embarked on giving it something to talk about. A Raspberry Pi running AlexaPi joined the bear’s recently vacated thorax with the audio output split between the bear’s speaker and the analog input on the Arduino. The result is a reasonable animation, although we’d say a little tweaking of the Arduino script might help the syncing. And those eyes and that nose really need to get into the game as well. But not a bad start at all.

This isn’t the first time that Teddy Ruxpin has gone under the knife in the name of hacks, and it likely won’t be the last. And the way toy manufacturers are going, they might just beat us hackers to the punch.

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A Handy Tutorial For Voice-Command Awesomeness

December 9, 2016 by James Hobson 9 Comments

When somebody can’t find a guide on how to accomplish a particular task, we here at Hackaday admire those individuals who take it upon themselves to write one for the benefit of others. Instructables user [PatrickD126] couldn’t find a write-up on how to connect Amazon’s Alexa service, and Echo to his Raspberry Pi home security system, so his handy tutorial should get you up to speed for your own projects.

[PatrickD126] shows how loading some software onto the Raspberry Pi is readily accomplished along with enabling Alexa to communicate more directly with the Pi. From there, it’s a matter of configuring your Amazon Web Services account with your preferred voice commands, as well as which GPIO pins you’d like to access. Done! [PatrickD126] notes that the instructions in the guide only result in a temporary solution, but suggests alternatives that would allow your project to operate long-term.

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Alexa Brings Back Singing Fish, This Time It’s A Good Thing

November 8, 2016 by Steven Dufresne 27 Comments

Remember Big Mouth Billy Bass? That’s the singing fish with which you could torture family members by having it endlessly perform a rendition of either “Take Me to the River” or “Don’t Worry Be Happy”.

Now [Brian Kane], a teacher at the Rhode Island School of Design, has connected Amazon’s Alexa to the fish. Speak the “wake word”, “Alexa”, and the fish’s head turns to face you. Then ask it any question you’d normally ask Alexa and Alexa’s voice answers while the fish opens and closes its mouth in time to the words. Want to know the weather? Ask the fish, which you can see [Brian] do in the video below.

[Brian] hasn’t given details on how he’s done it but he’s likely made use of the Alexa Skills Kit, an SDK from Amazon that let’s you use the Alexa voice recognition and speech service with your own hardware (wetware, aquaware?), just as Amazon does with their home assistant, Echo .

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Amazon Offers $2.5M To Make Alexa Your Friend

September 30, 2016 by Brian Benchoff 25 Comments

Amazon has unveiled the Alexa Prize, a $2.5 Million purse for the first team to turn Alexa, the voice service that powers the Amazon Echo, into a ‘socialbot’ capable of, “conversing coherently and engagingly with humans on popular topics for 20 minutes”.

The Alexa Prize is only open to teams from colleges or universities, with the winning team taking home $500,000 USD, with $1M awarded to the team’s college or university in the form of a research grant. Of course, the Alexa Prize grants Amazon a perpetual, irrevocable, worldwide, royalty-free license to make use of the winning socialbot.

It may be argued the Alexa Prize is a competition to have a chat bot pass a Turning Test. This is a false equivalency; the Turing Test, as originally formulated, requires a human evaluator to judge between two conversation partners, one of which is a human, one of which is a computer. Additionally, the method of communication is text-only, whereas the Alexa Prize will make use of Alexa’s Text to Speech functionality. The Alexa Prize is not a Turing Test, but only because of semantics. If you generalize the phrase, ‘Turing Test’ to mean a test of natural language conversation, the Alexa Prize is a Turing Test.

This is not the first prize offered for a computer program that is able to communicate with a human in real time using natural language. Since 1990, the Loebner Prize, cosponsored by AI god Marvin Minsky, has offered a cash prize of $100,000 (and a gold medal) to the first computer that is indistinguishable from a human in conversation. Since 1991, yearly prizes have been awarded to the computer that is most like a human as part of the competition.

For any team attempting the enormous task of developing a theory of mind and consciousness, here are a few tips: don’t use Twitter as a dataset. Microsoft tried that, and their chatbot predictably turned racist. A better idea would be to copy Hackaday and our article-generating algorithm. Just use Markov chains and raspberry pi your way to arduino this drone.

Seeed Studio’s ReSpeaker Speaks All The Voice Recognition Languages

August 25, 2016 by Moritz Walter 22 Comments

Seeed Studio recently launched its third Kickstarter campaign: ReSpeaker, an open hardware voice interface. After their previous Kickstarted IoT hardware, such as the RePhone, mostly focused on connectivity, the electronics manufacturer from Shenzhen now tackles another highly contested area of IoT: Voice recognition.

The ReSpeaker Core is a capable development board based on Mediatek’s MT7688 WiFi module and runs OpenWrt. Onboard is a WM8960 stereo audio codec with integrated 1W speaker/headphone driver, a microphone, an ATMega32U4 coprocessor, 12 addressable RGB LEDs and 8 touch sensors. There are also two expansion headers with GPIOs, I2S, I2C, analog audio and USB 2.0 and an onboard microSD card slot.

The latter is especially useful to feed the ReSpeaker’s integrated speech recognition engine PocketSphinx with a vocabulary and audio file library, enabling it to respond to keywords and commands even when it’s not hooked up to the internet. Once it’s online, ReSpeaker also supports most of the available cloud based cognitive speech recognition services, such as Microsoft Cognitive Service, Amazon Alexa Voice Service, Google Speech API, Wit.ai and Houndify. It also comes with an SDK and Python API, supports JavaScript, Lua and C/C++, and it looks like the coprocessor features an Arduino-compatible bootloader.

The expansion header accepts shield-like hardware add-ons. Some of them are also available through the campaign. The most important one is the circular, far-field microphone array. Based on 7 XVSM-2000 digital microphones, the extension board enhances the device’s hearing with sound localization, beam forming, reverb and noise suppression. A Grove extension board connects the ReSpeaker to the Seeed’s current lineup on ready-to-use sensors, actuators and other peripherals.

Seeed also cooperates with the Meow King Audio Electronic Company to develop a nice tower-shaped enclosure with built-in speaker, 5W amplifier and battery. As a portable speaker, the Meow King Drive Unit (shown on the right) certainly doesn’t knock your socks off, but it practically turns the ReSpeaker into an open source version of the Amazon Echo — including the ability to run offline instead of piping everything you say to Big Brother.

According to Seeed, the freshly baked hardware will ship to backers in November 2016, and they do have a track-record of on-schedule shipped Kickstarter rewards. At the time of writing, some of the Crazy Early Birds are still available for $39. Enjoy the campaign video below and let us know what you think of think hardware in the comments!

When The Smart Hits The Fan

May 10, 2016 by Dan Maloney 5 Comments

A fan used to be a simple device – motor rotates blades, air moves, and if you were feeling fancy, maybe the whole thing oscillates. Now fans have thermostats, timers, and IR remotes. So why not increase the complexity by making a smart fan with an IoT interface?

[Casper]’s project looks more like a proof of concept or learning platform than a serious attempt at home automation. His build log mentions an early iteration based on a Raspberry Pi. But an ESP8266 was a better choice and made it into the final build, which uses an IR LED to mimic the signals from the remote so that all the stock modes of the fan are supported. The whole thing is battery powered and sits on a breadboard on top of the fan, but we’ll bet that a little surgery could implant the interface and steal power internally. As for interfaces, take your pick – an iOS app via the SmartThings home automation platform, through their SmartTiles web client, or using an Amazon Echo. [Casper] mentions looking into MQTT as well but having some confusion; we’d suggest he check out [Elliot Williams]’ new tutorial on MQTT to get up to speed.

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Roll Your Own Amazon Echo On A Raspberry Pi

March 31, 2016 by Elliot Williams 40 Comments

Speech recognition coupled with AI is the new hotness. Amazon’s Echo is a pretty compelling device, for a largish chunk of change. But if you’re interested in building something similar yourself, it’s just gotten a lot easier. Amazon has opened up a GitHub with instructions and code that will get you up and running with their Alexa Voice Service in short order.

If you read Hackaday as avidly as we do, you’ve already read that Amazon opened up their SDK (confusingly called a “Skills Kit”) and that folks have started working with it already. This newest development is Amazon’s “official” hello-world demo, for what that’s worth.

There are also open source alternatives, so if you just want to get something up and running without jumping through registration and licensing hoops, you’ve got that option as well.

Whichever way you slice it, there seems to be a real interest in having our machines listen to us. It’s probably time for an in-depth comparison of the various options. If you know of a voice recognition system that runs on something embeddable — a single-board computer or even a microcontroller — and you’d like to see us look into it, post up in the comments. We’ll see what we can do.

Thanks to [vvenesect] for the tip!