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