Music audio classification method based on convolutional recurrent neural network
A technology of recurrent neural network and classification method, applied in the field of music classification, can solve the problem that the characteristics of classification tasks are not universal
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[0067] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments, but the embodiments of the present invention are not limited thereto.
[0068] Such as figure 1 As shown, the present embodiment provides a music audio classification method based on a convolutional cyclic neural network, comprising the following steps:
[0069] S1. Label the audio of the music to obtain a music label dataset with music labels. The size of the dataset marked here is 1000; there are two kinds of music annotation datasets used, namely GTZAN dataset and MagnaTagATune dataset; the GTZAN dataset is divided into training set, verification set and The test set, and the MagnaTagTune data set contains 16 subdirectories from 0 to f, the data in the 0 to b directory is used as the training set, the data set in the c directory is used as the verification set, and the remaining data in the d to f directory data as a test s...
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