A novel strategy for hierarchical speech recognition is proposed in this paper. Based on space partition, it takes the advantage of each recognizer on subspace. It organizes recognizers in a manner of nested recursion. Experiment results show that the final performance of the new method can reach an error reduction about 33% compared with the best recognizer.