1. A method for editing a data stream based on a corpus, the data stream including stream words, the method comprising: determining, by a processor, whether a segment of the data stream satisfies a predetermined acoustic condition, the segment having a predetermined duration; determining, by the processor, whether a sequence of the stream words exists in the corpus at a predetermined minimum frequency, the sequence including a predetermined number of sequential words of the stream words; determining, by the processor, whether a portion of the sequence exists in the segment; and editing the sequence in the data stream when the segment satisfies the predetermined condition, the sequence exists in the corpus at the predetermined minimum frequency, and the portion of the sequence exists in the segment.
1. A method for editing a data stream based on a corpus, the data stream including stream words, the method comprising: determining, by a processor, whether a segment of the data stream satisfies a predetermined acoustic condition, the segment having a predetermined duration; determining, by the processor, whether a sequence of the stream words exists in the corpus at a predetermined minimum frequency, the sequence including a predetermined number of sequential words of the stream words; determining, by the processor, whether a portion of the sequence exists in the segment; and editing the sequence in the data stream when the segment satisfies the predetermined condition, the sequence exists in the corpus at the predetermined minimum frequency, and the portion of the sequence exists in the segment. 5. The method as set forth in claim 1 , further comprising: identifying each of the stream words of the data stream via automatic speech recognition; and separating the stream words of the data stream into a plurality of sequences, each of the plurality of sequences including the predetermined number of sequential words of the stream words, the sequence being one of the plurality of sequences.