  Speech recognition in highly-reverberant real environments remains a major
challenge. An evaluation dataset for this task is needed. This report describes
the generation of the Highly-Reverberant Real Environment database (HRRE). This
database contains 13.4 hours of data recorded in real reverberant environments
and consists of 20 different testing conditions which consider a wide range of
reverberation times and speaker-to-microphone distances. These evaluation sets
were generated by re-recording the clean test set of the Aurora-4 database
which corresponds to five loudspeaker-microphone distances in four reverberant
conditions.
