MRS
Mosharaka for Research and Studies
Next Congress
Congresses

All Forthcoming Congresses

Conferences

All Forthcoming Conferences

Login/Sign Up
Main Menu
Papers Menu
Mosharaka Updates
Conferences Update on Sunday, 10 September 2017: The 1st International Conference on Green Communications and Computing (MIC-Green 2018) will be held at Days Inn-Amman Hotel, in Amman, Jordan in the period 22-24 June 2018, as part of the Global Congress on Communications and Computing Systems and Applications (GC-CCSA 2018).
More Updates Current Announcements
Quick Links
  • Browse
  • Search
  • Subjects
  • Years
  • CSC
  • MIC-CSC 2009
  • 11.Cnf-48
Browse Paper Database by Year
20062008200920102011
2012
CSC Conferences with Published Papers

MIC-CSC 2009, Amman
1 Paper

MIC-CSC 2011, Amman
1 Paper
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 204 Paper Views Rank 16/452
Paper Downloads 143 Paper Downloads Rank 8/452
  • By Title
  • By Topic
  • By Author
Search Papers by Title
ByTitle
Search Papers by Topic
ByTopic