1. A method for acoustic echo suppression comprising: temporally segmenting a sound signal into segmented sound signals stored within a plurality a frequency bins according to frequency and time of capture, the sound signal comprising a near-end signal and a residual echo; modeling segmented sound signals stored in respective frequency bins as a probability density function to determine a probability that respective frequency bins comprise predominantly near-end signal or predominantly residual echo, the modeling for respective frequency bins comprising: forming an unknown parameter vector comprising unknown parameters characterizing the probability density function; and evaluating the unknown parameter vector using a statistical approach to determine the unknown parameters; and computing an acoustic echo suppression output having a suppressed residual echo, the acoustic echo suppression output proportional to products of segmented sound signals and probabilities associated with respective frequency bins.