论文标题
克拉普林：西方古典音乐封面检测的基于和弦和旋律的指纹
Claraprint: a chord and melody based fingerprint for western classical music cover detection
论文作者
论文摘要
在过去的几十年中，封面歌曲的检测一直是音乐信息检索（MIR）社区的活跃领域。大多数研究界都致力于将其用于具有多种特征的各种音乐流派。西方古典音乐是一种基于“封面歌曲”或音乐作品的录制的类型，代表了大型遗产，可立即应用高效的指纹算法。我们提出了一种用于从参考数据库中检索封面歌曲的工程方法，这要归功于为古典音乐作品设计的指纹。我们打开一个新的数据集，以鼓励科学界将其用于有关该类型的进一步研究。
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.
