2021/04/21 by Jae-Jun Lee, Jaejun Lee, Donmoon Lee +6
Computer Science · Engineering · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Indoor and Outdoor Localization Technologies #Music and Audio Processing #Sound (cs.SD) #Speech and Audio Processing #cs.SD #eess.AS #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2104.10431
5 pages, 3 figures, In Proceedings of the 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
arxiv created 2021/04/21 · openalex publication_date 2021/04/21 · arxiv updated 2021/04/22 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
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.