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22-04-2010, 12:36 AM


Speech Recognition Basics
Speech recognition is the process by which a computer (or other type of machine) identifies spoken words. Basically, it means talking to your computer, AND having it correctly recognize what you are saying.
Hardware Requirements

Sound Cards

The possible applications of speech technology include every single task related with the action of the human voice. In this sense, the application fields can vary from speech production, storage, transmission and recognition processes. Some of the potential applications of speech technology that we mention below:

Speech synthesis (voice response systems)
Digital transmission and storage (optimized encryption of signals)
Speaker verification and identification (control of access, legal applications)
Aids to the handicapped
Speech recognition (automatic dictation, command and control)
Enhancement of speech signal quality (noise removal)
Types of Speech Recognition

Speech recognition can be of two types based on the grammar that the recognition is based on. (Grammar is in other words the list of possible recognition outputs that can be generated.)

Command & Control
In a command and control scenario a developer provides a limited set of possible word combinations, and the speech recognition engine matches the words spoken by the user to the limited list. In command and control the accuracy of recognition is very high. It is always better for applications to implement command and control as the higher accuracy of recognition makes the application respond better.
In Dictation mode the recognition engine compares the input speech to the whole list of the dictionary words. For the dictation mode to have a high accuracy of recognition is it important that the user has prior trained the recognition engine by speaking in to it.

Components of speech recognition application

Every speech recognition application consists of

An engine that translates waves into text
A list of speech commands
In .NET Speech Recognition Applications can be developed using SAPI and in Java using JSPAI (JAVA SPEECH API).
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01-03-2012, 10:58 AM

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