In this paper we propose a universal data structure (UDS), termed as UDS, which will aid in the design of optimal boundary data structures. We later show, with the aid of some recently published data structures, that any data structure can be expressed as a special case of UDS. We demonstrate how the application of the optimality concepts of the UDS can lead us to the discovery of more efficient data structures than popular data structures. We also discuss two approaches for optimization. We show that a globally optimal data structure is better than a special purpose optimal data structure.

 Abstract: Analysis of human voice based on its pitch can be used in detecting the pauses. The available algorithms for pause detection could succeed to some extent and lot of scope for better performance still exists. The proposed intelligent pause detection protocol (IPDP) is the convergence of (i) calculation of Mean/RMS peak value from human voice pitch (ii) estimating the pause using MLE algorithm and (iii) optimizing the bandwidth utilization of Vocoders using DTX algorithm. The work carried projects better pause removal than the existing standard methods.

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