Speech recognition systems are the means by which your manual work can be reduced as well as you can save time. Advanced systems are today available which can detect words spoken at normal rate. Speech recognition is a process by which spoken words can be converted into the machine readable form.
Whenever you speak, many vibrations are created. With the help of speech recognition system, a vibration which means analog signals are converted into digital signals with help of analog to digital converter. Digitalization of sounds is taken place at various intervals. Once this is done, sound is filtered into different frequency bands so that a constant volume level can be attained. Next step in speech recognition system is to divide the analog signals into various segments. Such segments are matched with the phonemes. Phonemes are sounds which can be understood by people who speak a particular language. Statistical modeling systems also play a vital role in these systems. With the help of these modeling systems, outcome of a particular phoneme can be predicted. This outcome depends on the vocabulary of the speech recognition system.
There are many applications for this system and it is used in many fields such as health care, business and even legal transcription. It is categorized on the basis of vocabulary and users into small vocabulary and large vocabulary. Speech recognition is also divided into two types like discrete speech recognition or continuous speech recognition. In the discrete system, dictator needs to take a pause after each word while in continuous system speech can be given at normal speeds. It might seem difficult to operate this system but it is extremely simple if you get regular training to operate it efficiently. As the user will speak frequently in the system, speech recognition system can also be able to detect the outcome of spoken words at a faster rate.
