  Ensuring performance robustness for a variety of situations that can occur in
real-world environments is one of the challenging tasks in sound event
classification. One of the unpredictable and detrimental factors in
performance, especially in indoor environments, is reverberation. To alleviate
this problem, we propose a conditioning method that provides room impulse
response (RIR) information to help the network become less sensitive to
environmental information and focus on classifying the desired sound.
Experimental results show that the proposed method successfully reduced
performance degradation caused by the reverberation of the room. In particular,
our proposed method works even with similar RIR that can be inferred from the
room type rather than the exact one, which has the advantage of potentially
being used in real-world applications.
