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Algorithm of generating music melody based on single-exposure high dynamic range digital image using convolutional neural network

Abstract. Music is a very important art. However, professional music production has a relatively high investment cost and a single model, which cannot meet people’s individual needs. Single-exposure high dynamic range (HDR) digital images based on convolutional neural networks (CNNs) can solve this problem. A comparative experiment was carried out. The final experimental results show that in terms of the quality of melody generation, the algorithm is almost the same as manual creation. In terms of generation speed, the CNN single-exposure HDR digital image model is 1.1 times faster than the traditional algorithm model, which proves its advantage of higher creative ability. Popularizing it in the music creation market at the current stage can effectively improve the efficiency of music creation and promote the intelligent development of the music market.