A music automatic labeling method based on label depth analysis
An automatic labeling and music technology, applied in the field of music information research, can solve the problems of poor learning effect of deep neural network, and achieve the effect of improving performance and improving robustness
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[0048] This embodiment provides a music automatic labeling method based on tag depth analysis, the flow chart is as follows figure 1 shown, including the following steps:
[0049] S1. Collect music data and perform data cleaning in combination with the music label system;
[0050] S2. Sampling the music data, converting it into a mel spectrogram and performing data slicing;
[0051] S3. Construct an audio multi-level feature extraction network based on a one-dimensional convolutional network, and perform parameter pre-training through supervised learning;
[0052] S4. Carry out music label vector representation learning based on a two-dimensional convolutional network, and obtain music label features;
[0053] S5. Realize the feature aggregation of audio multi-level features and music label features;
[0054] S6. Perform final music label prediction based on the aggregated features.
[0055] The above method uses a one-dimensional convolutional network to construct an audi...
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