April 1, 2024, 4:42 a.m. | Dongzhe Zhang, Jianfeng Chen, Jisheng Bai, Mou Wang

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.20130v1 Announce Type: cross
Abstract: Deep learning-based sound event localization and classification is an emerging research area within wireless acoustic sensor networks. However, current methods for sound event localization and classification typically rely on a single microphone array, making them susceptible to signal attenuation and environmental noise, which limits their monitoring range. Moreover, methods using multiple microphone arrays often focus solely on source localization, neglecting the aspect of sound event classification. In this paper, we propose a deep learning-based method …

abstract acoustic sensor array arxiv classification cs.lg cs.sd current deep learning eess.as environment environmental event however localization making microphone networks noise research sensor signal sound them type wireless

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