Gender voice classification with huge accuracy rate

Gender voice recognition stands for an imperative research field in acoustics and speech processing as human voice shows very remarkable aspects. This study investigates speech signals to devise a gender classifier by speech analysis to forecast the gender of the speaker by investigating diverse parameters of the voice sample. A database has 2270 voice samples of celebrities, both male and female. Through Mel frequency cepstrum coefficient (MFCC), vector quantization (VQ), and machine learning algorithm (J 48), an accuracy of about 100% is achieved by the proposed classification technique based on data mining and Java script

Iraqi e-government and cloud computing development based on unified citizen identification

In this paper, besides an overview about e-government and cloud computing services in Iraq, an applied survey to establish relevant prospects of the Iraqi citizens for e-government and cloud computing services was adopted. Moreover, to study the potential putting into practice of e-Government and cloud computing services based on citizen identification in Iraq. Based on survey results, about 112 different e-Services were proposed by qualified Iraqi citizens. The requested e-Services were highlighted based on a provided statistical list in this paper. This paper can be an influential step to enhance e-Government and cloud computing functionaries in Iraq consistent with the citizen’s outlooks and discover technical and non- technical barriers that delay the development of Iraqi e-Government and cloud computing. Lastly, the accomplishment of e-Government and cloud computing imposes several essential tools as in Information and Communication Technology (ICT). The development scheme in this paper involves three years to improve Iraqi e-Government database and offer advantageous capability of ICT to all responsible persons and citizens based on Standard Materials and International Certificates