1. A method for recognizing emotion in a primary audio signal comprising: extracting, using a computer, an MFCC feature from the primary audio signal; dividing, using a computer, the MFCC feature into MFCC subsections; selecting, using a computer, a set of the MFCC subsections; sorting, using a computer, the set of MFCC subsections into a sorted set of MFCC subsections; selecting, using a computer, a first set of reference samples from a reference database; computing, using a computer, a first emotional state score from a comparison of the sorted set of MFCC subsections and the first set of reference samples; and, determining, using a computer, a probable emotional state for the primary audio signal from the first emotional state score.