A mangrove birdsong recognition algorithm integrating image processing technology
Birds species monitoring is an important part of biodiversity research.However,most of the current birdsong recog-nition algorithms do not consider environmental disturbances and algorithm speed.The paper proposes an algorithm for audio recog-nition of birdsong based on deep learning and fused image processing technology.After denoising the birdsong,the algorithm com-bines audio and image processing technology to extract birdsong features;and with the convolutional neural network ResNet,it mod-els and selects the optimal model,and then converts it into TensorRT model to improve the inference speed.In the experimental tests,the algorithm has shown good performance in classifying and recognizing birdsongs.The optimized model also exhibits a no-ticeable improvement in recognition speed.
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