Abstract: An apparatus for transforming data input by dividing the data input into a uniform dataset with one or more data divisions, processing the uniform dataset to produce a first processed dataset with one or more data divisions, processing the uniform dataset to produce a second processed dataset with one or more data divisions, wherein the first and second processed datasets have the same number of data divisions, and editing data selectively within each one of the one or more divisions of the first and second processed dataset. This apparatus has particular utility in error-spotting in processed datasets, and toward training a pattern recognition application, such as speech recognition, to produce more accurate processed datasets.

Abstract: An apparatus for collecting data from a plurality of diverse data sources, the diverse data sources generating input data selected from the group including text, audio, and graphics, the diverse data sources selected from the group including real-time and recorded, human and mechanically-generated audio, single-speaker and multispeaker, the apparatus comprising: means for dividing the input data into one or more data segments, the dividing means acting separately on the input data from each of the plurality of diverse data sources, each of the data segments being associated with at least one respective data buffer such that each of the respective data buffers would have the same number of segments given the same data; means for selective processing of the data segments within each of the respective data buffers; and means for distributing at least one of the respective data buffers such that the collected data associated therewith may be used for further processing.