The acoustical parameters of a room, which are supposed to predict and specify its perceptual quality, are generally assessed by performing impulse response measurements at multiple positions � or better: along an array of microphone positions. The parameter values are derived for each microphone position. One of the problems which arise from this method is the large spatial fluctuations of most parameters, which conflicts with listening tests showing that perception does not vary that much. Using Continuity Preserving Signal Processing (CPSP), a time frequency analysis of a signal can be performed using a mathematical model of the human cochlea, while continuity is preserved both in time and in frequency. This form of signal processing is already successfully applied in auditory scene analysis applications, like speech recognition. It is believed that applying this technique to impulse response measurements might lead to results that are closer to human perception, not suffering from large spatial fluctuations. In the CPSP domain, acoustical parameters can be derived in such a way that perceptual effects like frequency masking are taken into account.
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