24. The system of claim 23 wherein the semantic analysis is indicative of semantic intent expressed by the speech recognition results and wherein the clustering component is configured to cluster those sets of acoustic information that have corresponding speech recognition results with similar semantic intent.
23. A system for processing acoustic information, comprising: a computer memory including instructions to execute a clustering component configured to: cluster sets of acoustic information, from an application, into clusters based on a semantic analysis of speech recognition results of speech recognition performed on the sets of acoustic information; rank the clusters based on a number of instances of utterances contained in each cluster; remove clusters based on a consistency threshold calculation of each cluster that indicates when a cluster has a number of unlike utterances that have meaningful semantics; identify, for each cluster, a set of acoustic information as being representative of a corresponding cluster, wherein the identified set of acoustic information is selected from the sets of acoustic information in each corresponding cluster; identify the representative set of acoustic information for a given cluster as representing either a semantic intent covered by the application or as an unrepresented semantic intent based on the speech recognition results assigned to the given cluster were generated using an application grammar or a second grammar; and generate a revision to the application grammar to accommodate for the unrepresented semantic intent.