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By E. E. Zepler

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CDF mean and CDF con histograms are estimated using four channels. The two approaches are equivalent if the bins used to build the histogram coincide. However, in the CDF Mean approach, taking the average of the bin centers as well, gives slightly smoother histograms which helps the equalization process. Whatever the estimation algorithm, equalization has to be accomplished taking into account that the MFCC sequence used as input in the HEQ transformation must fit the more accurate statistical estimation performed, otherwise outliers occurrence due to noise contribution could degrade the performance: this explains the usage of the aforementioned MFCC averaging.

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