Audio-Based Melody Categorization: Exploring Signal Representations and Evaluation Strategies
Audio-Based Melody Categorization: Exploring Signal Representations and Evaluation Strategies
复制标题
DOI：
10.1162/comj_a_00440
复制
发表时间：
2018-01-01
影响因子：
--
通讯作者：
Diaz-Banez, Jose-Miguel
中科院分区：
文献类型：
--
作者：
Kroher, Nadine;Diaz-Banez, Jose-Miguel
旋律分类指的是将一组旋律分组到源于相同旋律轮廓的相似项目类别中。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。对于一个集合中包含的每个录音，我们提取一个代表主要旋律线的音高序列。然后，我们估计两两相似度，并评估结果相似矩阵相对于基真注释的判别能力。我们提出了新的评估方法，比较了旋律表征，并在两种应用背景下探索了我们的方法的潜力：弗拉门戈音乐的风格间和风格内分类以及民歌录音的曲调族识别。
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.