Spoken Arabic digits recognition using deep learning / AbdulAziz Saleh Mahfoudh Ba Wazir

The dissertation proposes an Arabic digits speech recognition model utilizing recurrent neural network. Speech Recognition model select the finest speech signal representation by feature extraction of Mel-Frequency Cepstrum Coefficients (MFCCs) after been processed for noise reduction and digits sep...

Full description

Bibliographic Details

Main Author:	Abdul Aziz Saleh, Mahfoudh Ba Wazir
Format:	Thesis
Published:	2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://studentsrepo.um.edu.my/9521/1/AbdulAziz_Saleh_Mahfoudh_Ba_Wazir.jpg http://studentsrepo.um.edu.my/9521/11/abdulaziz.pdf http://studentsrepo.um.edu.my/9521/
Tags:	Add Tag No Tags, Be the first to tag this record!