论文标题
基于LSTM MDEL的MIDI格式的音乐分类
Music Classification in MIDI Format based on LSTM Mdel
论文作者
论文摘要
AI或人类作曲家制作的音乐之间的音乐分类可以通过深度学习网络来完成。我们首先以MIDI格式将音乐样本转换为自然语言序列，然后通过MLSTM（乘法长期记忆） +逻辑回归对这些样本进行了分类。通过10倍交叉验证评估的结果的准确性可以达到90％。我们的工作表明，AI和人类作曲家产生的音乐确实具有不同的特征，可以通过深度学习网络来学习。
Music classification between music made by AI or human composers can be done by deep learning networks. We first transformed music samples in midi format to natural language sequences, then classified these samples by mLSTM (multiplicative Long Short Term Memory) + logistic regression. The accuracy of the result evaluated by 10-fold cross validation can reach 90%. Our work indicates that music generated by AI and human composers do have different characteristics, which can be learned by deep learning networks.
