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Bird Species Classification With Audio-Visual Data

The classification of bird species through audio-visual data fusion technology aims to accurately identify and classify different birds by utilizing both image and sound information. This method combines visual feature extraction and audio signal processing, enhancing the accuracy and robustness of classification. It holds significant application value in ecological monitoring, biodiversity research, and wildlife conservation.

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