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Comparing to our approach, JSR worked on clean AM, assumed that the environment is known, and used more training data (110 pairs of utterances).
Meanwhile, the JSR approach worked on clean AM, assumed that the environment is known, and used 110 pairs of utterances in training the sparse representation for each environment.
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How clean is clean enough?
Clean is not".
Clean is good.
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