Perceptual multiple location equalization with clustering

Typically, room equalization techniques do not focus on designing filters that equalize the room transfer functions on perceptually relevant spectral features. In this paper, we address the problem of room equalization for multiple listeners, simultaneously, using perceptually designed equalization filter based on pattern recognition techniques. Some features of the proposed filter are, its ability to perform simultaneous equalization of multiple locations, a reduced order, and a psychoacoustically motivated design. In summary, the simultaneous multiple location equalization, using a pattern recognition method, is performed over perceptually relevant spectral components derived from the auditory filtering mechanism.