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This paper presents a new approach for identifying birds automatically from their sounds, which first converts the bird songs into spectrograms and then extracts texture features from this visual time-frequency representation. The approach is inspired by the finding that spectrograms of different birds present distinct textures and can be easily distinguished from one another. In particular, we perform...
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