Please use this identifier to cite or link to this item:
Title: Experimentation using short-term spectral features for secure mobile internet voting authentication
Authors: Thakur, Surendra 
Adetiba, Emmanuel 
Millham, Richard 
Olugbara, Oludayo O. 
Issue Date: 2015
Publisher: Hindawi Publishing Corporation
Source: Thakur, S.; Adetiba, E.; Olugbara,O.O. and Millham, R. 2015. Experimentation using short-term spectral features for secure mobile internet voting authentication. Mathematical Problems in Engineering. Article ID 564904, pp.1-21
Journal: Mathematical problems in engineering (Print) 
We propose a secure mobile Internet voting architecture based on the Sensus reference architecture and report the experiments carried out using short-term spectral features for realizing the voice biometric based authentication module of the architecture being proposed. The short-term spectral features investigated are Mel-Frequency Cepstral Coefficients (MFCCs), Mel-Frequency Discrete Wavelet Coefficients (MFDWC), Linear Predictive Cepstral Coefficients (LPCC), and Spectral Histogram of Oriented Gradients (SHOGs). The MFCC, MFDWC, and LPCC usually have higher dimensions that oftentimes lead to high computational complexity of the pattern matching algorithms in automatic speaker recognition systems. In this study, higher dimensions of each of the short-term features were reduced to an 81-element feature vector per Speaker using Histogram of Oriented Gradients (HOG) algorithm while neural network ensemble was utilized as the pattern matching algorithm. Out of the four short-term spectral features investigated, the LPCC-HOG gave the best statistical results with R statistic of 0.9127 and mean square error of 0.0407. These compact LPCC-HOG features are highly promising for implementing the authentication module of the secure mobile Internet voting architecture we are proposing in this paper.
ISSN: 1024-123X
Appears in Collections:Research Publications (Health Sciences)

Files in This Item:
File Description SizeFormat
Thakur_MPE_2015.pdf6.15 MBAdobe PDFThumbnail
Show full item record

Page view(s)

checked on Jul 17, 2024


checked on Jul 17, 2024

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.