10. A system of claim 8 , wherein modeling and resegmenting each group of estimated segments to obtain stable segmentations further comprises: constructing a Gaussian mixture model for each group of estimated segments; and calculating a frame-by-frame likelihood ratio detection score for each Gaussian mixture model compared with a Gaussian mixture model representing the multi-speaker speech data.
8. A system as defined in claim 2 , wherein each estimated segment is initially in a separate group of estimated segments, wherein the fourth module further: models each estimated segment by a low-order Gaussian mixture model; generates table of pairwise distances using the low-order Gaussian mixture models, wherein the table of pairwise distances includes a distance between each estimated segment and every other estimated segment; and merges at least two groups of estimated segments to produce a new group of estimated segments such that a merger of the at least two groups of estimated segments produces a smallest increase in the distance.