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...
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| Format: | Thesis |
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2018
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| Online Access: | http://studentsrepo.um.edu.my/9521/ http://studentsrepo.um.edu.my/9521/1/AbdulAziz_Saleh_Mahfoudh_Ba_Wazir.jpg http://studentsrepo.um.edu.my/9521/11/abdulaziz.pdf |
