  The paper announces the new long-term challenge for improving the performance
of automatic speech recognition systems. The goal of the challenge is to
investigate methods of correcting the recognition results on the basis of
previously made errors by the speech processing system. The dataset prepared
for the task is described and evaluation criteria are presented.
