  In this paper we present a novel approach for environment classification for
speech recordings, which does not require the selection of decaying
reverberation tails. It is based on a multi-band RT60 analysis of blind channel
estimates and achieves an accuracy of up to 93.6% on test recordings derived
from the ACE corpus.
