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Voice Recognition with Genetic Algorithms

Publication Date : 21/12/2015

Author(s) :

Hind Saleem Ibrahim Harba , Eman Saleem Ibrahem Harba .

Volume/Issue :
Volume 2
Issue 12
(12 - 2015)

Abstract :

Speech recognition (or voice recognition) is a method of transform an acoustic signal to a text form, in which the voice recognition program work to identify the correct text word corresponding to each word of voice. Digital processing of voice signal is very important for automatic voice recognition technology that are widely used in security mechanism due to mimicry characteristic that is useful to use for many application field such as military, banking, and transaction over telephone network database access service, voice email, investigations, and management, electronic devices, control systems, like cell phones, or for to help peoples having disabilities (i.e. blinds, handicapped peoples, else) to control devices (such as operating a computer system, controlling a wheelchair, etc.). Genetic algorithms are useful for searching a space in multi-directional way from large spaces and poorly defined space. In this paper, the use of Genetic Algorithm (GA) for voice recognition is described. In order to extract valuable information from the voice signal, make decisions on the process, and obtain results, the data needs to be manipulated and analyzed. If the instant voice is not matched with same person’s reference voices in the database, then Genetic Algorithm (GA) is applied between two randomly chosen reference voices. Again the instant voice is compared with the result of Genetic Algorithm (GA) which is used, including its three main steps: selection, crossover and mutation. We illustrate our approach with different sample of voices from human in our institution.

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Voice Recognition with Genetic Algorithms

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