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

Room adaptive conditioning method for sound event classification in reverberant environments