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Speaker-dependent and speaker-independent speech recognition
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Speech recognition is classified into two categories, speaker dependent and speaker independent. Speaker-dependent systems are trained by the individual who will be using the system. These systems are capable of achieving a high command count and better than 95 percent accuracy for word recognition. The drawback to this approach is that the system responds accurately only to the individual who trained the system. This is the most common approach employed in software for personal computers. A speaker-independent system is trained to respond to a word regardless of who speaks. Therefore the system must be able to respond to a large variety of speech patterns, inflections, and enunciations of the target word. The number of command words is usually less than for the speaker-dependent system; however, high accuracy can still be maintained within processing limits. Industrial requirements more often need speaker-independent voice systems. Our SRC will be speaker dependent. We can build in a little speaker independency by allocating more than one word space to a target word and then programming different word enunciations in the allocated spaces. Each of these word spaces would trigger the same command.
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Speech-recognition systems have another constraint concerning the style of speech they can recognize. There are assumed to be three styles of speech: isolated, connected, and continuous.
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Isolated These speech-recognition systems can just handle words that are spoken separately. This is the most common speech-recognition system available today. The user must pause between each word or command spoken. Our speech-recognition circuit will use isolated words. Connected This is a halfway point between isolated word and continuous speech recognition. It allows users to speak multiple words. The HM2007 can be set up to identify words or phrases 1.92 s in length. This reduces the word recognition dictionary number to 20. Continuous This is the natural conversational speech we use in everyday life. It is extremely difficult for a recognizer to shift through the text since the words tend to merge together. For instance, Hi, how are you doing sounds like Hi, howyadoin. Continuous speechrecognition systems are on the market and are under continual development.
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Building the speech-recognition circuit
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The demonstration circuit operates in the HM2007 s manual mode. This mode uses a simple keypad and microphone to program the HM2007 chip. Keyboard The keyboard is a telephone keypad made up of 12 normally open switches.
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1 4 7 Clear 2 5 8 0 3 6 9 Train
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When the circuit is turned on, the HM2007 checks the onboard static RAM. If the RAM checks out, the board displays 00 on the seven-segment display chips, lights the red light-emitting diode (LED) (Ready), and waits for a command. To train Press 1 (display will show 01 ) and the LED will turn off. Then press T (Training), and the LED will turn back on. Hold the microphone close to your mouth and say the training word. For instance, let s use the word computer as the training word. Say
seven
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the word computer into the microphone. If the circuit accepts the word spoken, the LED will blink. The word computer is now programmed as the 01 word. Whenever the circuit hears the word computer, it will display 01 on its digital output. If the LED did not blink when you said the word computer, either repeat the word again louder or start over completely by pressing 01 then T. Continue training new words in the circuit. Press 02 then T to train the second word. The circuit will accept up to 40 words. You do not need to train all 40 words to use the circuit. Train the circuit with just the words you need and start using the circuit. Testing recognition Repeat a trained word into the microphone. The number of the word should be displayed on the segmented display. For instance, if the word directory was trained as word number 25, saying the word directory into the microphone will cause the number 25 to be displayed. Error codes The chip provides the following error codes: 55 word too long 66 word too short 77 no word match found Clearing memory You can erase individual words in memory by entering the word number you want to erase and hitting the CLR button. To erase all the words in memory, press 99 and then CLR. More about the HM2007 chip The HM2007 is a single-chip complementary metal-oxide semiconductor (CMOS) voice-recognition large-scale integration (LSI) circuit. The chip contains an analog front end, voice analysis, recognition, and system control functions. The chip may be used in a stand-alone or connected CPU. Features Single-chip voice-recognition CMOS LSI Speaker-dependent External RAM support Maximum of 40-word recognition Maximum word length of 1.92 s
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