2. The method of claim 1 , further comprising: analyzing, by the processor, the audio data to identify at least one acoustic characteristic of the speech of the telephone caller; and comparing, by the processor, the at least one acoustic characteristic of the speech of the telephone caller to the plurality of word clusters, each word cluster further comprising at least one associated acoustic characteristic; wherein the determining, by the processor, the most similar word cluster of the plurality of word clusters to the audio data is further based on a similarity of the at least one acoustic characteristic of the speech of the telephone caller and the at least one associated acoustic characteristic of the most similar cluster.
3. The method of claim 2 , wherein the analyzing, by the processor, the audio data to identify at least one acoustic characteristic of the speech of the telephone caller comprises: correlating, by the processor, each of a plurality of portions of an acoustic or frequency component of the audio data with each of at least a subset of the plurality of words; and determining, by the processor, at least one acoustic characteristic for how the telephone caller says at least one of the subset of the plurality of words based on the portion of the acoustic or frequency component of the audio data correlated with the at least one of the subset of the plurality of words.