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Voice recognition system

Voice (or speech) recognition systems are specialized computer systems that are configured to process and recognize spoken human speech, and take action or carry out further processing according to the speech that is recognized. Voice recognition represents one of the most important techniques to endow a machine with simulated intelligence to recognize user or user-voiced commands and to facilitate human interface with the machine. Speech recognition systems typically operate by receiving an acoustic signal, which is an electronic signal or set of data that represents the acoustic energy received at a transducer from a spoken utterance. Voice recognition systems typically recognize and identify words or utterances of the spoken input by comparison to previously obtained templates of words or utterances or by comparison to a previously obtained acoustic model of a person who is speaking. In a typical voice recognition system, a user speaks into an input device such as a microphone, which converts the audible sound waves of voice into an analog electrical signal. This analog electrical signal has a characteristic waveform defined by several factors including the volume at which the words are spoken. The volume component of the spoken word translates into the amplitude of the waveform. The recognition decision is made by evaluating similarity by a comparison of the input pattern of features with prestored reference after acoustical analysis. The process of extracting the reference patterns for a speaker is called training or learning of reference of patterns.

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