Speech Recognition Using Backoff N-Gram Modelling in Android Application

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Provided by: International Journal of Computer Science and Mobile Computing (IJCSMC)
Topic: Enterprise Software
Format: PDF
Google is one of the most popular information retrieval systems among users. Spoken questions are a natural standard for penetrating the network in settings where typing on a console is not applicable. This paper describes a speech boundary to the Google search. The study entails the improvement of hands-free voice recognition Google search engine to operate Google and browse the result of search without using a keyboard or mouse. Speech recognition uses are becoming more and more beneficial now-a-days. Digital processing of speech signal and voice recognition process is very important for fast and precise automatic voice recognition technology.
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