Melodic Similarity and Applications Using Biologically-Inspired Techniques
Melodic Similarity and Applications Using Biologically-Inspired Techniques
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DOI：
10.3390/app7121242
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发表时间：
2017-12-01
影响因子：
2.7
通讯作者：
Veltkamp, Remco C.
中科院分区：
文献类型：
--
作者：
Bountouridis, Dimitrios;Brown, Daniel G.;Veltkamp, Remco C.
音乐相似性是一个复杂的概念，它在音乐信息检索（MIR），音乐分析和音乐认知等领域表现出来。建模两个音乐项目的相似性是许多与音乐相关的应用程序（例如封面歌曲检测和ham乱查询）的关键。通常，相似性模型基于直觉，启发式或小规模的认知实验。因此，无法保证对更广泛的环境的适用性。我们认为，应用于已知相关的歌曲的数据驱动工具和分析方法可能会为我们提供有关音乐相似性的细粒度性质的信息。有趣的是，音乐和生物序列具有许多平行的概念。从自然序列代理到它们产生变化的机制，即口服传播和进化。因此，将科学方法和工具从生物信息学到音乐都有很大的潜力。从生物启发式方法中剥离，某些生物信息学方法可以推广到任何类型的序列。因此，可以将可靠和无偏的数据驱动的解决方案用于生物序列相似性和保护分析等问题，可应用于音乐的相似性和稳定性分析。我们的论文依靠这种方法来解决多项任务，更重要的是对全球旋律相似性进行建模。
Music similarity is a complex concept that manifests itself in areas such as Music Information Retrieval (MIR), musicological analysis and music cognition. Modelling the similarity of two music items is key for a number of music-related applications, such as cover song detection and query-by-humming. Typically, similarity models are based on intuition, heuristics or small-scale cognitive experiments; thus, applicability to broader contexts cannot be guaranteed. We argue that data-driven tools and analysis methods, applied to songs known to be related, can potentially provide us with information regarding the fine-grained nature of music similarity. Interestingly, music and biological sequences share a number of parallel concepts; from the natural sequence-representation, to their mechanisms of generating variations, i.e., oral transmission and evolution respectively. As such, there is a great potential for applying scientific methods and tools from bioinformatics to music. Stripped-down from biological heuristics, certain bioinformatics approaches can be generalized to any type of sequence. Consequently, reliable and unbiased data-driven solutions to problems such as biological sequence similarity and conservation analysis can be applied to music similarity and stability analysis. Our paper relies on such an approach to tackle a number of tasks and more notably to model global melodic similarity.