How to judge reusability of existing speech corpora for target task by utilizing statistical multidimensional scaling

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 to judge the reusability of existing speech corpora for a target task by utilizing a statistical multidimensional scaling method. In an experiment using twelve tasks in five speech corpora, our proposed method could show high correlation to the cross task recognition performance and judge the reusability of existing speech corpora correctly for the target task with lower cost.