1. A computerized method for recognizing one or more emotions from a primary audio signal, comprising the acts of: extracting, using a computer, at least two features from the primary audio signal, wherein at least one of the at least two features is a Mel-Frequency Cepstral Coefficient (MFCC, and at least one of the at least two features is a statistical feature; performing, using the computer, a first comparison of the at least one statistical feature to a first reference sample; assigning, using the computer, at least one first emotional state score to the primary audio signal based on the first comparison; dividing, using the computer, the at least one MFCC feature into at least two points; sorting, using the computer, the at least two points; performing, using the computer, a second comparison of the sorted at least two points to a second reference sample; assigning, using the computer, at least one second emotional state score to the primary audio signal based on the second comparison; and evaluating, using the computer, the at least one first emotional state score and the at least one second emotional state score to assign at least one probable emotional state to the primary audio signal.