All these individuals must have participated in the

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Unformatted text preview: h spoken word is matched against similarly formed pre-stored words in the computer's electronic dictionary. The creation of the electronic dictionary (a database of pre-stored words) is done during a training session. That is, the system is initially operated in a training mode when the words and phrases to be stored in the electronic dictionary are spoken several times to train the system to recognize them. In this mode, the patterns for all the spoken words and phrases spoken during the training session are created and stored for future matching. 5. Perform corresponding action. When a match for the spoken word(s) is found, it is displayed on the computer's terminal and/or the appropriate action corresponding to the input is performed (for example, stop doing whatever it was performing). In some case, the system may display the word(s) and wait for operator's confirmation to prevent doing something different from what the operator intended (in case of wrong interpretation of the spoken word(s) by the computer). If no match is found for the spoken word, the speaker is asked to repeat the word. Voice recognition systems are normally classified into the following two categories: 1. Speaker-dependent. Due to the vast variation in the accent of different speakers, most voice, recognition systems of today are speaker-dependent. That is, they can recognize the speech of only a single individual or a few individuals. All these individuals must have participated in the training session to train the system to recognize their accent of the pre-stored words in the computer's dictionary. The system usually maintains a different database of pre-stored words for different individuals because the digital form of the same word may be different for different individuals. 2. Speaker-independent. Speaker-independent voice recognition systems can recognize words spoken by anyone. Based on the idea of making a speaker-dependent system for more than one individual, it is clear that speaker-independent systems will require a very large database of pre-stored words to accommodate anyone's voice pattern. To take care of this practical problem, speaker-independent systems are designed to have a very limited vocabulary. For example, the vocabulary of such a system may have the words YES, NO, ZERO, ONE, TWO, THREE, FOUR, FIVE, SIX, SEVEN, EIGHT, NINE and TEN. Speaker-independent syste...
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This document was uploaded on 04/07/2014.

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