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Jun, 2017
使用样本级深度卷积神经网络进行多层和多尺度特征聚合的音乐分类
Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification
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Jongpil Lee, Juhan Nam
TL;DR
本论文提出了一种将预训练特征提取器聚合多级和多尺度特征的音乐分类方法，特征提取器通过使用原始波形进行样本级深度卷积神经网络训练，表现出了在多个音乐分类数据集上的最新成果。
Abstract
Music tag words that describe music audio by text have different levels of abstraction. Taking this issue into account, we propose a
music classification
approach that aggregates multi-level and multi-scale features using pre-trained
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