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Speech-controlled mobile robot
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SPEECH IS AN IDEAL METHOD FOR ROBOTIC CONTROL AND communication. The speech-recognition circuit we will outline in this chapter functions independently from the robot s main intelligence [central processing unit (CPU)]. This is a good thing because it doesn t take any of the robot s main CPU processing power for word recognition. The CPU must merely poll the speech circuit s recognition lines occasionally to check if a command has been issued to the robot. We can even improve upon this by connecting the recognition line to one of the robot s CPU interrupt lines. By doing this, a recognized word would cause an interrupt, letting the CPU know a recognized word had been spoken. The advantage of using an interrupt is that polling the circuit s recognition line occasionally would no longer be necessary, further reducing any CPU overhead. Another advantage to this stand-alone speech-recognition circuit (SRC) is its programmability. You can program and train the SRC to recognize the unique words you want recognized. The SRC can be easily interfaced to the robot s CPU. Most voice recognition systems on the market today are software programs that require a host computer [usually an IBM personal computer (PC) or compatible] and a sound card. The speechrecognition system is still software-based even though it requires hardware (a sound card). These programs typically run in the background of a DOS or Windows environment, stealing themselves a portion of memory and CPU processing power while allowing other programs like Lotus or Word to run concurrently. The concurrent
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Speech-controlled mobile robot
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operation of the speech-recognition program slows the operation of any other program that runs using voice recognition. There are many applications to voice recognition aside from robotics. Speech recognition will become the method of choice for controlling robots, virtual reality (VR), appliances, toys, tools, and computers. Because of the far-reaching potential of this technology, companies are developing speech recognition. The ability to control and command a computer (or appliance) by speaking directly to it will make working with that device easier, and more efficient and effective. At its most basic level, a speech-controlled device allows the user to perform parallel tasks, (i.e., hands and eyes can be busy elsewhere, while continuing to work with the computer or appliance). There are three construction projects outlined in this chapter. The first project is a speech-recognition circuit. The second project interfaces the speech-recognition circuit to a mobile platform [radio-controlled (R/C) car]. The third project is a general interfacing board for the speech-recognition kit.
Project 1: Programmable speech-recognition circuit
The first project is a programmable speech-recognition circuit. It is programmable in the sense that you can program the circuit to recognize up to 40 unique words of your own choosing. The heart of the circuit is a single integrated circuit (IC), the HM2007 speech-recognition chip. The chip provides the options of recognizing either 0.96-second (s) or 1.92-s word lengths. Using 0.96-s word lengths enables the chip to recognize 40 independent words using an 8K 8 static random access memory (RAM). You have the option to switch to the longer 1.92-s word length. While this reduces the word recognition count to 20 words, the longer word length can be used for phrases instead of isolated words. The circuit we will build here will use the 0.96-s word length, 40-word recognition library.
Learning to listen
We take our speech-recognition abilities for granted. Listening to one person speak among several at a party is beyond the capabilities of today s speech-recognition systems. Speech-recognition systems like ours have a hard time separating and filtering out extraneous noise.
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The operating distance one can speak from the microphone on the SRC without shouting is about 1 foot (ft). Because of this, when using the SRC on a mobile robot platform, we incorporate two small walkie-talkies. The output of one walkie-talkie is connected to the speech input of the SRC. The other walkie-talkie is used to speak to the robot via the SRC. This setup eliminates distance problems and extraneous noise. Speech recognition is not speech understanding. Just because a computer can respond to a vocal command does not mean it understands the command spoken. Future voice-recognition systems will have the ability to distinguish nuances and meaning of words, to Do what I mean, not what I say! However, those systems are still years away.
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