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The speaker recognition uses a speech parametrization to match many voice references and identify the real source from many hypothesised speakers. It uses and produces many different data types and their manaqement is a complex task, The activity in the speaker recognition field is structured in experimental units and it is important to manage the data in the context of the scheduling framework of each experiment. Our work consider the important economic requirement of saying the past database and the indipendency of the old applications programs with respect the DBMS.
Bibliographic reference. Sario, N. De / Carlo, Andrea Di / Paoloni, A. / Saverione, B. (1989): "An acoustical database design for speaker recognition", In SIOA-1989, Vol.2, 83-86.