Designers of speech recognition systems have pursued three approaches. One enables computers to recognize a small number of words spoken by a broad range of people. This method has proven to be fairly accurate. The second method enables the recognition of a larger number of words spoken by one individual. This method is also fairly reliable provided the speaker's speech patterns are consistent. The third method enables computers to learn a speaker's speech patterns and to apply the patterns over a broad range of words. Although this last method provides the most promise for full speech-to-text conversion, it is the least accurate of the three.
For voice recognition speech synthesis is used. Speech Synthesis, in computer science, the ability of a computer to produce "spoken" words. Computer speech can be produced either by "splicing" prerecorded words together or, with much more difficulty, by having the computer produce the sounds that make up spoken words. Speech synthesis is used today for interaction with the handicapped and for other special-purpose applications, but its capabilities are still too limited for general use. At its best, computer-generated speech still lacks the cadence and complexity of real speech, resulting in a somewhat "dead" sound.
To make precision voice recognition, paragraphs are given. When the person reads these paragraphs, the computer compares his/her voice with the original spoken voice paragraph. During this process, the computer also highlights mistakes or confused words spoken. To make accurate voice recognition, a high sensitivity microphone is used. By these methods, voice recognition becomes precise and accurate. (Uses of Voice Recognition will come in next article)
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