International Journal of Educational Research and Development

International Journal of Educational Research and Development


International Journal of Educational Research and Development
International Journal of Educational Research and Development
2019, Vol. 1, Issue 4
Analysis of digital voice features extraction methods

Ismail Shayeb, Ziad Alqadi, Jihad Nader

K means method and LBP based methods are commonly used for manipulating digital wave files, and they can be used for wave file features extraction, these features can be used later on as a wave file key or signature which refers to the wave file in any application, such as voice recognition or voice retrieval applications. K means method can be used to extract voice features, these features can be represented by clusters points, or within_cluster sums, or by the clusters centroids, and in this paper we will investigate the both methods in order to do some recommendations regarding the efficient method of voice features extraction.
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How to cite this article:
Ismail Shayeb, Ziad Alqadi, Jihad Nader. Analysis of digital voice features extraction methods. International Journal of Educational Research and Development. 2019; 1(4): 49-55.