28. The system of claim 25 wherein the clustering component is configured to merge similar clusters by computing a distance between a pair of clusters, merging the pair of clusters into one cluster if the computed distance meets a threshold distance, and performing the steps of computing and merging for a plurality of pairs of clusters to obtain a refined set of clusters.
28. The system of claim 25 wherein the clustering component is configured to merge similar clusters by computing a distance between a pair of clusters, merging the pair of clusters into one cluster if the computed distance meets a threshold distance, and performing the steps of computing and merging for a plurality of pairs of clusters to obtain a refined set of clusters. 30. The system of claim 28 wherein the clustering component is configured to identify a set of acoustic information as being representative by computing a distance in similarity between each speech recognition result assigned to a given cluster and other speech recognition results assigned to the given cluster, identify a speech recognition result having a smallest distance in similarity to the other speech recognition results in the given cluster, and identify, as the representative set of acoustic information for the given cluster, the set of acoustic information corresponding to the identified speech recognition result.