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Audio-Based Melody Categorization: Exploring Signal Representations and Evaluation Strategies
Computer Music Journal Pub Date : 2018-01-01 , DOI: 10.1162/comj_a_00440
Nadine Kroher 1 , José-Miguel Díaz-Báñez 1
Affiliation  

Melody categorization refers to the task of grouping a set of melodies into categories of similar items that originate from the same melodic contour. From a computational perspective, automatic melody categorization is of crucial importance for the automatic organization of databases, as well as for large-scale musicological studies—in particular, in the context of folk music and non-Western music traditions. We investigate methods starting from the raw audio file. For each recording contained in a collection, we extract a pitch sequence representing the main melodic line. We then estimate pairwise similarities and evaluate the discriminative power of the resulting similarity matrix with respect to ground-truth annotations. We propose novel evaluation methodologies, compare melody representations, and explore the potential of our approach in the context of two applications: interstyle and intrastyle categorization of flamenco music and tune-family recognition of folk-song recordings.

中文翻译:

基于音频的旋律分类:探索信号表示和评估策略

旋律分类是指将一组旋律分组为源自相同旋律轮廓的相似项目类别的任务。从计算的角度来看,自动旋律分类对于数据库的自动组织以及大规模音乐学研究至关重要 - 特别是在民间音乐和非西方音乐传统的背景下。我们从原始音频文件开始研究方法。对于集合中包含的每个录音,我们提取一个表示主旋律线的音高序列。然后,我们估计成对相似度并评估所得相似度矩阵相对于真实标注的判别力。我们提出了新的评估方法,比较旋律表示,
更新日期:2018-01-01
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