This futuristic appliance can keep you apprised of all you social network goings on and much more. [Mike Watson] calls the device the Alert Tube because of its functionality and shape. The hardware depends primarily on a Raspberry Pi board which seems tailor-made for this type of use. The information gathering side of this shows off the power of a fledgling services called If This Then That.
We’ve heard of IFTTT only because [Chris Gammel] and [Dave Jones] covered it on an episode of The Amp Hour. [Dave] dismissed it as have little to no practical use. But this project shows how it can be leveraged to make quick work of pulling your desired data from the Internet. Think of it as a collection of APIs for many sites like Twitter, Facebook, as well as local weather, etc. This project sets up IFTTT to monitor your accounts, alerting you with colors of like, sound, and even text-to-speech.
The project explanation is several pages long but you can get a quick look at it by watching the demo video.
Continue reading “Alert Tube monitors all aspects of your digital life”
The folks over at Torchbox needed a Christmas card this year. Previously, the most poplar holiday card was a web page that gave their visitors a chance to activate a ‘snow machine’ and spray confetti on a random employee, all while being streamed online. They wanted to replicate this bridge between virtual and real life interactions this year, and Manuel the talking moose was born.
Manuel needed a personality and interaction from random people on the Internet so the Torchbox team decided to make the fake moose head speak tweets in real-time with the help of a Raspberry Pi. The code running on the Raspi gets tweets with a #tbxmoose hashtag, sends that through a node.js script, and finally sent to the Festival speech synthesis system.
A few modifications needed to be done to Manuel before he was presented to the Internet. His jaw was chopped in half and a servo and animatronic controller were added for a proper presentation on Torchbox’s stream of Manuel’s random musings.
This anthropomorphized wood bowl will read Tweets out loud. It was built by [William Lindmeier] as part of his graduate work in the Interactive Telecommunications Program (ITP) at New York University. View the clip after the break to see and hear a list from his Twitter feed read in rather pleasant text-to-speech voices.
The electronics involved are rather convoluted. Inside the upturned bowl you’ll find both an Arduino and a Raspberry Pi. But that’s not the only thing that goes into this. The best sounding text-to-speech program [William] could find was for OSX, so there is a remote computer involved as well. But we think what makes this special is the concept and execution, not the level of hardware inefficiency.
The knob to the left sets the volume and is also responsible for powering down the device. The knob of the right lets you select from various Twitter lists. Each turn of the knob is responded to with a different LED color in the nose and a spoken menu label. You can get a quick overview of the project from this summary post.
Continue reading “Twitter radio”
[Dino] is about three-quarters of the way through his talking box project. He’s completed one of the two boxes, and is showing off the technique he uses to marry motion with sound in order to mimic flapping lips with the box top.
You may remember [Dino’s] first look at the EMIC2. It’s a single-board text to speech module which is what provides the voice for the box. But what fun is that without some animatronics to go along with it? So [Dino] started playing around with different concepts to move the box top along with the speech. This is easier said than done, but as you can see in the video after the break, he did pull it off rather well. He built a motor control circuit that takes the audio output of an LM386 amplifier chip and translates it into drive signals for the motor. The shaft is not directly connected to the lid of the box. Instead it has a curved wire which is limited by a piece of string so that it doesn’t spin too far. It lifts the lid which is hinged with a piece of cloth.
Continue reading “[Dino’s] talking box(es)”
This is the EMIC2 text-to-speech module. You can see from the logo on the bottom left it’s the latest gadget coming out of [Joe Grand’s] Grand Idea Studios. [Dino] tipped us off about his first experience with a prototype of the board. He’s driving it with an Arduino and the video after the break shows that the sound rendering is high quality and the words are very easy to understand. One of the things that we think is interesting is that the serial communications used to drive the board are not uni-directional. In fact, there’s a serial terminal that provides documentation on how to use the chip. Obviously this is most suited to the Arduino, which always has a PC-side terminal window available to it.
[Joe] himself shows some of the potential for the board. He gave new life to a broken toy by replacing its internals with a PIC-based circuit to drive the EMIC2. That video is also found after the break. He’s just using the demo clips, but from that you will get a good idea of the vocal modulations this device is capable of. The board rings up at $60 and is available from Parallax.
Continue reading “EMIC2 text to speech module”
If there’s one thing that will surely blind us, its reading resistor color bands. It doesn’t help that red looks exactly like orange, brown and black are indistinguishable, and different component manufacturers – for some reason – don’t use identical paints for coding their resistors. [Jeff] over at Gadget Gangster has been having the same problem, so he built a talking resistor calculator to speak resistor values to him.
The electronics part of the build is extremely simple with just an MCP3208 ADC providing 12 bits of resolution. The software side is where this project really shines. [Jeff] used a Gadget Gangster QuickStart board housing a Parallax Propeller. With 8 cores running in parallel the Propeller is more than enough to run [Phil Pilgrim]’s software speech synthesizer. When a resistor is connected to the two alligator leads, the Propeller goes through a lookup table and finds a resistor value matching the number coming from the ADC. From there, it’s just sending a string of phonetic text to the speech synthesizer object.
Even though text-to-speech chips have been around for decades now, [Jeff] chose to build his speech synthesis tool with software. It may just be a testament to the power in the Propeller microcontroller, but anything that keeps us from squinting at resistor color bands is alright by us.