  Dereverberation is often performed directly on the reverberant audio signal,
without knowledge of the acoustic environment. Reverberation time, T60,
however, is an essential acoustic factor that reflects how reverberation may
impact a signal. In this work, we propose to perform dereverberation while
leveraging key acoustic information from the environment. More specifically, we
develop a joint learning approach that uses a composite T60 module and a
separate dereverberation module to simultaneously perform reverberation time
estimation and dereverberation. The reverberation time module provides key
features to the dereverberation module during fine tuning. We evaluate our
approach in simulated and real environments, and compare against several
approaches. The results show that this composite framework improves performance
in environments.
