75. A system comprising: a processing unit coupled to a memory through a bus; and a process executed from the memory by the processing unit to cause the processing unit to: identify instances in a plurality of speech segments; create feature vectors derived from a machine perception transformation of time-domain samples corresponding to the instances in the plurality of speech segments onto a feature space, wherein the machine perception transformation is correlated with human perception by using the time-domain samples retaining both amplitude and phase information of the speech segments, which were provided in sound data for a speech synthesis system; cluster the feature vectors using a similarity measure in the feature space; and replace the clustered instances corresponding to the clustered feature vectors within a radius by a single instance.
75. A system comprising: a processing unit coupled to a memory through a bus; and a process executed from the memory by the processing unit to cause the processing unit to: identify instances in a plurality of speech segments; create feature vectors derived from a machine perception transformation of time-domain samples corresponding to the instances in the plurality of speech segments onto a feature space, wherein the machine perception transformation is correlated with human perception by using the time-domain samples retaining both amplitude and phase information of the speech segments, which were provided in sound data for a speech synthesis system; cluster the feature vectors using a similarity measure in the feature space; and replace the clustered instances corresponding to the clustered feature vectors within a radius by a single instance. 82. The system of claim 75 wherein creating feature vectors comprises: constructing a matrix W from the instances; and decomposing the matrix W.