Patent ID: 7729921

Claim:
A method using a computer, system having access to a database comprising speech samples, the speech samples comprising text data associated with a plurality of predetermined attributes, the method comprising steps of: generating a first word vector for a first set of the speech samples, the first set being associated with a first attribute, and a second word vector for a second set of the speech samples, the second set being associated with a second attribute, wherein the first and second word vectors are generated based upon frequencies of occurrence of words in the speech samples contained in the first and second sets, respectively; calculating a similarity between the first and second sets based upon the first and second word vectors; using the computer system to generate, based upon the speech samples contained in the first and second sets, at least one language model for the first and second sets; calculating a perplexity for each of the first and second sets, using the at least one language model for the first and second sets; and displaying the similarity between the first and second sets and the perplexity for each of the first and second sets.