Cover song detection has been an active field in the Music Information Retrieval (MIR) community during the past decades. Most of the research community focused in solving it for a wide range of music genres with diverse characteristics. Western classical music, a genre heavily based on the recording of "cover songs", or musical works, represents a large heritage, offering immediate application for an efficient fingerprint algorithm. We propose an engineering approach for retrieving a cover song from a reference database thanks to a fingerprint designed for classical musical works. We open a new data set to encourage the scientific community to use it for further researches regarding this genre.

中文翻译：

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Claraprint：用于西方古典音乐封面检测的基于和弦和旋律的指纹

在过去的几十年里，翻唱歌曲检测一直是音乐信息检索 (MIR) 社区中的一个活跃领域。大多数研究社区都专注于解决具有不同特征的各种音乐流派的问题。西方古典音乐是一种主要基于“翻唱歌曲”或音乐作品录制的流派，代表着巨大的遗产，为高效指纹算法提供了直接应用。由于为古典音乐作品设计的指纹，我们提出了一种从参考数据库中检索翻唱歌曲的工程方法。我们开放了一个新的数据集，以鼓励科学界将其用于有关该类型的进一步研究。