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Cover song identification is an important problem in the field of Music Information Retrieval. Most existing methods rely on hand-crafted features and sequence alignment methods, and further breakthrough is hard to achieve. In this paper, Convolutional Neural Networks (CNNs) are used for representation learning toward this task. We show that they could be naturally adapted to deal with key transposition in cover songs. Additionally, Temporal Pyramid Pooling is utilized to extract information ondoi:10.24963/ijcai.2019/673 dblp:conf/ijcai/YuXCY19 fatcat:25yzxoepj5fapc7ory3h6ajo7y