In the field of music information retrieval (MIR), cover song identification (CSI) is a
challenging task that aims to identify cover versions of a query song from a massive …

This paper focuses on Cover Song Identification (CSI), an important research challenge in
content-based Music Information Retrieval (MIR). Although the task itself is interesting and …

Cover song identification is a challenging task in the field of Music Information Retrieval
(MIR) due to complex musical variations between query tracks and cover versions. Previous …

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 …

Cover song identification (CSI) has been a challenging task and an import topic in music
information retrieval (MIR) community. In recent years, CSI problems have been extensively …

We present in this paper ByteCover, which is a new feature learning method for cover song
identification (CSI). Byte-Cover is built based on the classical ResNet model, and two major …

Cover Song Identification (CSI) focuses on finding the same music with different versions in
reference anchors given a query track. In this paper, we propose a novel system named …

Convolutional neural network (CNN)-based methods have dominated the recent research of
cover song identification (CSI). A typical example is the ByteCover system we proposed …

Deep learning based methods have become a paradigm for cover song identification (CSI)
in recent years, where the ByteCover systems have achieved state-of-the-art results on all …

Abstract Cover Song Identification (CSI) technique, refers to the process of identifying an
alternative version, performance, rendition, or recording of a previously recorded musical …