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Update on Tuesday, 12 March 2019: JETNSR will publish a special issue based on GC-Engineering 2020 papers.
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  • 11.Cnf-48
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Papers Published at MIC-CSC 2009
All 1 Paper
IDAuthors and TitlePages
11.Cnf-48 Dr. Khaled Daqrouq, Dr. Emad Khalaf, Dr. Omar R. Daoud and Dr. Abdel-Rahman K. Al-Qawasmi, K-Means Clustering Algorithm for Wavelet Transform Speaker Identification System1-8
11.Cnf-48 Paper View Page
Title K-Means Clustering Algorithm for Wavelet Transform Speaker Identification System
Authors Dr. Khaled Daqrouq, Philadelphia University, Amman, Jordan
Dr. Emad Khalaf, Philadelphia University, Amman, Jordan
Dr. Omar R. Daoud, Philadelphia University, Amman, Jordan
Dr. Abdel-Rahman K. Al-Qawasmi, Majmaah University, ,
Abstract The Speaker identification is the process of determining which registered user provides a given utterance. In this paper, a powerful combination between the Discrete Wavelet Transform (DWT) and logarithmic Power Spectrum Density (PSD) is used for speaker first five formants extraction of one utterance, that are used as distinguishable classification features. As a classification method, the new approach by K-means algorithm is proposed, which uses the average of sums of point-to-centroid distances in the 1-by-K vector. To verify the experimental analysis for this work a Matlab simulation is performed and gave an excellent capability of features tracking even with 0dB SNR. This work is verified for text-dependant security systems applications such as password or PINs identification. Moreover, the attained results show excellent performance in classifications, which reaches about 94% classification rate.
Track SISP: Signal, Image and Speech Processing
Conference 3rd International Conference on Communications, Signals and Coding (MIC-CSC 2009), 19-21 November 2009, Amman, Jordan
Pages 1-8
Topics Digital Speech Processing
Wavelet Processing
ISSN 2227-331X
Paper Views 287 Paper Views Rank 17/452
Paper Downloads 204 Paper Downloads Rank 6/452
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Papers Newly Added to Database
GC-CSC 2009 Visits: 1058||MIC-CSC 2009 Visits: 725||SISP Track Visits: 216