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In this paper, we describe studies made on designing speaker recognition schemes using an interactive signal processing facility. The facility consists of a HP 2100S minicomputer based Fourier Analyzer System. This facility accepts speech input and provides a display of results at various stages of recognition procedure. Such a system permits the use of large design and test data sets with consequent advantages in performance evaluation. We describe attempts on isolating better features purely from speaker recognition point of view. Feature selection criteria, choice of code words, design of classifiers and performance assessment are discussed.