3. 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; selecting, using a computer, a first set of reference samples from a reference database; computing, using a computer, a comparison of the 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 comparison.
3. 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; selecting, using a computer, a first set of reference samples from a reference database; computing, using a computer, a comparison of the 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 comparison. 11. The method of claim 3 further comprising resampling the MFCC subsections based on the first set of reference samples.