MulKINet: Multi-Stage Key-Invariant Convolutional Neural Networks for Accurate and Fast Cover Song Identification

Cover song identification (CSI) is a challenging task in the music information retrieval (MIR) community. The employment of convolutional neural networks (CNN) have significantly improved the performance of CSI systems, especially CNN designed to be invariant against key transpositions. In this paper, we propose MulKINet, a multi-stage CNN architecture that preserve the property of key invariance ...