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.

翻译：由 AI 或 人类作曲家制作的音乐的音乐分类可以通过深层次的学习网络完成。 我们首先将音乐样本以中度格式转换成自然语言序列, 然后用 mLSTM( 倍增长短期内存) + 后勤回归法对这些样本进行分类。 由 10 倍交叉校验评估的结果的准确性可以达到 90% 。 我们的工作表明, AI 和 人类作曲家制作的音乐确实具有不同的特点, 可以通过深层学习网络学习。