The paper presents a voice identification analysis technique based on the analysis and comparison of four key sonic/acoustic characteristics. The proposed solution provides scientific method of analyzing voice or audio recordings and accessing similarities or differences for uses of identification. The technique utilizes five different types of preparation and analysis generating multiple results that can be applied for comparison. The function is similar to a police line-up except this is done with audio recordings. The proposed analysis will provide an accurate process in accessing voice identification.
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