Objective assessement of equalization methods using acoustic parameters

Usually, in literature, when a magnitude equalization method is analysed, the spectral deviation of the room's response characteristics and a subjective analysis are performed; its effect over the objective acoustic parameters is not explored. In a previous paper we proposed an equalization filter synthesized by a genetic algorithm tailored of this application and compared it to an equalization filter synthesized by the Levinson-Durbin algorithm. In the present paper we study how can we replace a subjective assessment with the analysis of the sound clarity and definition for the above-mentioned equalization methods. These parameters are in direct relation to the intelligibility of the sound and an optimal recommended range is known. We have made a classification of the considered methods according to the spectral deviation and their area outside the recommended range for the acoustic parameters.