Instructables user [jorgegunn] has put a unique spin on a recent geocache build by incorporating speech recognition and requiring that the “finder” knows the secret password to access the loot contained within. Although we won’t spoil the fun here, the techie spirit of the build was further bolstered by choosing a password fitting for any trekkie.

Despite utilizing an off-the-shelf speech recognition circuit kit, the majority of this hack was accomplished using parts available at local electronics and hardware stores. [jorgegunn] went to great lengths to make this hack accessible to any amateur hobbyist  and even includes links to relevant tutorials, schematics, and online parts vendors where applicable.

The actual speech recognition is accomplished with an Images Scientific Instruments model SR-06 circuit kit, capable of recognizing up to 40 different predefined words across multiple languages. Any time a correct match occurs, a value corresponding to the memory slot for that word is displayed on a pair of 7-segment displays. A separate decoder circuit based on a 74LS373 D-Type Latch and 4028 IC Decoder CMOS determines if the value being displayed constitutes a valid response and then drives a solenoid via a Darlington transistor in order to release the latching mechanism. Once opened, the device is simply pushed closed again to await its next finder- we are guessing that finding it might actually be the easiest part as judged by its size!

Although the real-world battery life has not yet been determined, a single coin cell for memory retention and a 9V battery used to drive the circuit and for latch release lasted through a full month of testing without any issues. Battery life could be extended almost indefinitely with a simple solar cell and rechargeable battery setup, but this would also obviously increase the likelihood of vandalism and/or theft.

We can imagine many different applications for such a device as-is including automated door lock  mechanisms and even access control to things such as the controls on a computer case.  It should also be fairly easy to increase the security by stringing multiple words together into a password or by instituting a “time out” period after a certain number of incorrect guesses.

Let us know of any other applications or build variations in the comments below and make sure to see how it all came together in the short videos after the break.

[Matt] has mixed up a batch of two RFID reading door lock systems. While the “door lock” part of the setup has yet to come into existence, the “RFID reading” section is up and running. By using the Parallax RFID readers (for cheap, remember?) and an Arduino, [Matt] is able to parse an RFID tag, look its number up in a database, and then have a computer announce “Access Denied” in a creamy “Douglas Adam’s sliding door of Hitchiker’s Guide” kind of way with Python.

Good books aside, catch a not as exciting as you’re thinking video after the jump.

Low bandwidth speech compression is a desirable concept for amateur radio enthusiasts. Unfortunately there isn’t a great open-source option out there, but that’s changing with the low-bitrate speech compression package called Codec2. It manages to transmit and decode at 2550 bits per second with results comparable to proprietary solutions like MELP and very near the initial goal of 2400 bit/s. [David Rowe], who spearheads the project, has been simulating communications using a Linux box and has posted audio snippets at the first link above for comparison. They’re looking for feedback and testing so if you interested give them a helping hand.

[Thanks Robomo]

Speech recognition makes it easier for us to be lazy with our devices – or perhaps set up the coolest voice-controlled project around. After the voice controlled home automation post, we received a lot of emails asking “how can I make it recognize my voice?”. Whether your project involves a PC or an Android phone, a high-budget, or no budget at all, there is a solution out there.  Join us after the break for a complete set of instructions on setting up speech recognition, and some of the best software options out there to meet your needs.

Got a Microphone?

Using a microphone is the only way to get your voice commands to the computer for interpretation. If you’ve got a laptop, you’re probably set to go, as most laptops come with microphones already built in. Not sure? Look for a small hole around the screen or keyboard. It may be labeled, but not always. You can also try checking the list of features in your computer’s manual, or head to your control panel and select “Sound”. In this pop-up window, you’ll find a tab titled “Recording”. If you’ve got a mic installed, it will be listed here.

If you’re using a desktop, you’ll likely have to buy an external microphone. Many webcams include a built-in mic – check the package to make sure. Some newer media keyboards also include a microphone. If this is the case for you, you may have to reposition your keyboard out of confined space to reduce echo. If you’re a PC or Xbox 360 gamer, you might have a headset used to communicate with other players live. This can double as a mic for voice recognition. Don’t have any of these? Head to your nearest store which sells computer accessories – try Best Buy, Future Shop, RadioShack, or your favorite locally-owned retailer. A basic, usable microphone can range from a few dollars to hundreds of dollars. While a six hundred dollar microphone is unnecessary unless you plan to record a studio album with your computer, it might be a good idea to stay away from the cheapest of the cheap – these can often have a choppy and uneven sound of which your computer can not interpret. Generally a headset mic (or gaming headset) is the best way to go, as it sits close to your mouth for minimal interference. Make sure the mic you choose is compatible with your computer’s operating system and has an input your computer uses, and buy away!

Flickr: [Yoppy] [Link]

Set Up Your Voice Recognition Software

Window 7 or Windows Vista

Voice recognition on either of these operating systems is as easy as a few clicks. With these operating systems, voice commands are thorough and simplistic, allowing you to control everything from form navigation, menu navigation, Office programs, and more. For almost anything you need to do, there is a voice command. To get started, head to the control panel and select “Speech Recognition”.

From here, you can test your microphone, train your computer to understand your individual style of speech, or view and print a reference card containing the commands your computer will understand.

You can also take a tutorial which teaches you the ins and outs of speech recognition in one simple lesson. Select the “Start Speech Recognition” option when you’re ready to get started. This leads you through optimizing your computer’s sound input with positioning tips and speech tests, and guides you through the rest of the configuration in a very user-friendly manner. When you finish the wizard, you’ll be ready to go!

You can refer back to the speech recognition reference card as often as you need to review the commands your computer will understand.

Windows XP

Voice recognition in XP is as easy to set up as it is with the newer Windows operating systems, however, it lacks the vast array of features that Vista and 7 offer. Speech recognition is supported by all Microsoft Office programs, however, only 2002 and 2003 versions are supported. With a version earlier that 2002, or with 2007 or 2010 versions in XP, you’re out of luck, as built in speech recognition is not supported. Otherwise, basic commands are not always supported, and speech recognition cannot be used with all programs. In general, you will have to enable speech recognition specifically for each program with which you wish to use it, and it will not be available in all programs.

Windows XP uses a speech recognition engine which comes with Office XP, though is not always installed by default. Open control panel, and from classic display, select the “speech” option. If you’re using the newer, categorical menu in XP, you’ll have to first select the “Sounds, speech, and audio devices” option.

Youtube: [mickmoose429992] [Link]

If you see a “speech recognition” tab in “speech properties”, you’re ready to go, as the engine has already been installed.

Youtube: [mickmoose429992] [Link]

If this option is missing, you’ll need to install it. From the control panel, select the “add or remove programs” option.

Youtube: [mickmoose429992] [Link]

Find Microsoft Office XP, and select the “change” option. Be careful not to uninstall!

Youtube: [mickmoose429992] [Link]

Find “features to install”, select the “alternative user input” option, followed by the “speech” option. Select “run from my computer” and click update. This automatically includes speech recognition in all Office programs, and makes the feature available to other programs.

Youtube: [mickmoose429992] [Link]

Mac OS X

Apple was one of the first to come out with speech recognition – a crazy idea at the time. This was back in 1993. We’ve come a long way since then, from more fluid, user-friendly controls to the ability to perform almost any action without ever touching your keyboard. Setting up speech recognition in OS X is a breeze. Once you’ve got you mic ready, select “system preferences” from the Apple drop-down menu. From this menu, select the “speech” option.

Youtube: [fifedjdomo] [Link]

Enabling “Speakable Items” will turn on the default commands, allowing you to perform most basic tasks.

Youtube: [fifedjdomo] [Link]

Through available options, you can set up your microphone and further customize the use of the program. The set of commands used to control your computer is fully customizable. Pair this with VoiceOver, a program designed for the blind, and you’ll hardly need to touch your computer in order to use it.

Linux Ubuntu

Linux does not currently have a complete solution for speech recognition. Though several projects have been started, none have been finished. There are several pieces of software that can perform some of the speech recognition tasks that Windows or Mac can accomplish, but nowhere near as thoroughly or easily. There is also no proprietary software for speech recognition with Linux, however, there are some partially-completed open source solutions for Ubuntu. Julius Speech Recognition engine is one of these utilities – a program used to interpret and execute a set of pre-determined voice commands. Detailed instructions for installation can be found [here].

Youtube: [jgraves1141] [Link]

Documentation on the installation and use of Julius is very limited due to the fact that the program is not completely finished, so you may not want to attempt an install unless you are completely comfortable with the use of Linux. The Julius package available for download contains two parts – an installer, and the program. First run the installer which will take you through the installation of Julius.

Another great solution is to use a Windows-based program such as Dragon NatuallySpeaking in combination WineHQ, however, there are lapses in fluidity that often have to be worked-around. For example, in some cases, a basic paragraph must be narrated to Dragon’s text editor and then copy-pasted into the appropriate location rather than transcribed directly to the appropriate program.

WineHQ: [Link]

Top Third Party Proprietary Software

If you have an older operating system, or simply don’t like the speech recognition software included with your operating system, a third party program may be what you need. There are dozens of free and paid speech recognitions out there, customizable, non-customizable, open source, for business, for personal use, and more. With so many options, you’re sure to find exactly what you want at a cost you can afford. Some of the most popular:

Dragon NaturallySpeaking

Dragon is a name that pops up over and over when searching for speech recognition software. Made for PC, it’s highly regarded for its speed, accuracy, ease of use, and large number of commands. The basic version of Dragon for home use is around $100 US, though many versions are available with more specific features, such as packages for medical or legal offices. These packages can cost over a $1000 US, though are unnecessary for the basic user. Dragon NaturallySpeaking software packages also include a mic, so you won’t have to try and find your own.  In addition to Windows, many users have claimed great success with Dragon in combination with WineHQ for Ubuntu.

Dragon NaturallySpeaking: [Link]

MacSpeech Dictate

MacSpeech is produced by the same makers as Dragon NaturallySpeaking. It was built from the ground up, rather than being ported, so it is free of the bugs that typically come with adapted software. Similar to Dragon, MacSpeech offers not only dictation recognition, but customizable speech commands as well, and includes a mic in the package. Also following the Dragon theme, medical and legal versions are available, as well as an international edition which supports Italian, French, and German in addition to English. These speech recognition tools for Mac range from $150 US to $600 US.

MacSpeech Dictate: [Link]

IBM ViaVoice

IBM’s ViaVoice recognition software is designed primarily for use with small mobile devices and vehicle automation systems, though it’s quite highly regarded amongst computer users as well. ViaVoice offers text-to-speech in addition to voice recognition. The command library is intuitive, and the user does not need to stick to a standard set of commands to make use of all the features – the program can interpret most commands as they are given. The speech library contains over 200 thousand words; far more than the average person’s vocabulary. Supported by IBM ViaVoice, in addition to many mobile OS’s, are standard Windows and Mac operating systems.

Third Party Open Source and Free Software

Open source or free voice recognition software that works well is extremely difficult to find – there is really no winner in the open source race for free voice software. In fact, there is hardly a race at all. Numerous open source Linux projects have been started, but due to the extreme scale, none have been finished. Below is a project you can contribute to in order to get the ball rolling on some great open source speech recognition software, as well as a toolkit for your own uses.

VoxForge

VoxForge is a project working to compile a collection of transcribed speech for use with both open source and free voice recognition engines. Upon the completion of this project, free open source speech recognition programs should be given the jumpstart to increase significantly. If you’d like to help the project, you can visit the VoxForge website [here].

VoxForge: [link]

CMUSphinx

Sphinx is now on version 4 (Sphinx 4). Perhaps the most (or only) popular open source speech recognition tool, Sphinx is licensed under BSD and is written in Java. Sphinx also offers a mobile version called “PocketSphinx”. This may be more useful for developers than the average user, but it’s one of the only solutions available, not to mention a versatile and thorough one. It does not come ready to go out of the box, but rather is a tool that can be utilized by developers. It certainly needs some work before it’s ready to go.

CMUSphinx: [Link]

How to Install CMUSphinx

Setting up CMUSphinx is not the easiest task, but it is likely to pay off with a great product. This install needs to be done manually.

Before you get started, you’ll need a few things – Perl, in order to run the scripts, and a C complier for the source code. Perl is free, and included with most Linux distributions. GCC (GNU Compiler Collection) is a good tool for the C portion of the source code. A word alignment program is also necessary – CMU suggests “Sclite”, a tool specifically used for speech recognition programs.

The databases you will need are available [here] . You’ll need either AN4 or RM1. Next, you’ll need to set up the trainer. A trainer helps your computer interpret your commands. Set up the tutorial – this will include copying the scripts to the proper area. The decoder is next. Though you can pick any decoder you choose, CMU describes the installation with Sphinx 3, and encourages you to perform your testing with Sphinx 3. Once you have all of the appropriate files in the correct directory, it’s time to compile, and set up the tutorial. Perform a training run, and finally, perform a decode. This set-up is extremely complicated, as is likely best left to the professionals – certainly not something for most average users.

Full instructions can be found on the Carnegie Mellon University’s Sphinx website [here].

This demo shows Sphinx in action:

You’re Ready To Go!

Once you’ve got your mic functional and in-place, as your speech software set up and configured, you’ll be ready to get started! Sit back and get talkin’!

In the video above you’ll see two of our favorite things combined, a quad-copter that is voice controlled. The robot responds to natural language so you can tell it to “take off and fly forward six feet”, rather than rely on a cryptic command set. The demonstration shows both an iPhone and a headset used as the input microphone. Language is parsed by a computer and the resulting commands sent to the four-rotor UAV.

This makes us think of the Y.T.’s robot-aided assault in Snow Crash. Perhaps our inventions strive to achieve the fiction that came before it.

[Via Bot Junkie]

120 LEDs and NerdKit, check. Python and appropriate Google Voice module, check. Blend on high for 2 minutes, bake for an hour at 400 degrees Fahrenheit. Your soufflé is done, whoops, we mean your voice controlled LED sign is done. Leave a voicemail on Davis’ Google Voice account that starts with “message” and it will be displayed for all to read within a matter of minutes. We think: make it bigger and add a security code before you can leave a message, and you’ve got the perfect recipe for some over sized message fun.

[via Make]

Absolutely fascinating. The University of Washington is developing a vocally controled mouse interface. We’ve seen vocal control of the computer before, but it is usally responding to specific commands and words to carry out tasks such as opening files.  This system uses different vowels and sounds to create cursor motion.  You can see the same system used in the video above to control a robot arm as well.

[via BotJunkie]