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This paper investigates the possibility of identifying the immediate relationship between family members using the voice of the members. The purpose of this article is to decide whether there are common features in the voice of family members or not. In other words, is it possible to identify the relationship between the immediate family members from their voice? This article is based on identifying the immediate family relationship through processing vocal signals. After taking a vocal signal from a rich phonetic text and doing the preprocessing phase, there will be an attempt to design an immediate family identification system with the aid of statistic features of cepstrum and the parameters in Autoregressive-moving-average model and Autoregressive model. In order to evaluate proposed system we used two different methods and computed False Acceptance Rate, False Rejection Rate and accuracy. The accuracy of proposed system for first and second method was 40% and 65%, respectively. Results show proposed system was good in identifying immediate family relationship.