Authors
Abstract
In this paper, a new pitch extraction method is established to be employed in
improving the performance of the eigenvoices problem. This required indexing the
pitch of the voice in a document matrix and then mapping the voice documents into
preserved semantic features. The proposed voice recognition system was built to be
operated in two phases; enrollment and recognition. Closed dataset of different
voices belong to different sexes and ages of speakers were enrolled in the first
phase. The results of the recognition phase were promising of about 81% for both
sexes. This ensures the successful recognition task and the efficiency of the
proposed system.
Keywords
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