Adoption of Neural Networks to Classified the Gender of the Speaker

• Main Authors: Khalil Al-Saif, Mason Al-Nuaimi
• Format: Article
• Language: Arabic
• Published: Mosul University 2010-12-01
• Series: Al-Rafidain Journal of Computer Sciences and Mathematics
• Subjects: neural network; back propagation network
• Online Access: https://csmj.mosuljournals.com/article_163926_615db3595e34f0e75dfcd5aca4b5378f.pdf

In this research the neural network was adopted to classified the gender of the spoken, by creating the two dimension matrix from the parameters of the spoken speech signal which normal was snigle dimension array.             The porpose algorithm in this research divided in two stage :-             In the first stage the seven moment were calculated for a set of spoken signal of 50 persons , to be followed creating database depend on the seven moments .This database will be used to find the threshould value for both genders (male/female) which will be trained  by neural network to classify any  input tothe network. In the second stage , speech  of any spoken will be selected and the same feature will be extracted , as in the first stage  , to be used as input to the neural network which was traind previously for gender recognition. Back propagation neural network was achieved for recognition. The result of the applied algorithem on 10 spoken passed on 8 of them and 2 of them was failed <strong>.</strong>