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Sound event recognition becomes a basic task in some applications. However, in low SNR condition, the accuracy rate is easily affected by the acoustic scene. To address the problem, this paper proposes a framework consisting of empirical mode decomposition (EMD), gray level co-occurrence matrix combined with higher-order singular value decomposition (GLCM-HOSVD), and random forests (RF). We use a...
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