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In order to develop a target speech recognition system with less cost of time and money, reusability of existing speech corpora is becoming one of the most important issues. This paper proposes a new technique of applying a statistical multidimensional scaling method to analyze the reusability of a speech corpus. In the experiment using six speech corpora, which contains isolated words and short sentences used in car navigation system, an effect of the proposed method is evaluated by a usual approach of cross task recognition. Furthermore, the relationship among those speech corpora is clearly shown by the proposed method.