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Dynamic Time Warping for Automatic Musical Form Identification in Symbolical Music Files

机译:动态时间扭曲可在符号音乐文件中自动识别音乐形式

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Music information retrieval techniques are used to automatically extract structural data of a piece, however there have been few attempts to study ways to automatically identify the musical form of digital files. In this work we present an implementation of the dynamic time warping algorithm for the automatic identification of musical form structure by means of a segmentation matrix in which we group elements according to maximal similarity. The system was implemented in symbolic files parsed with the music21 library. We tested it in two pieces: Bagatelle No. 25 in A minor by L.V. Beethoven, and Piano Sonata No. 11 in A major, K331, movement 3 by W.A. Mozart. The system obtained a correct identification of the similar sections, both with a rondo form. We foresee that this algorithm can be extended to measure harmonic similarity and with this be able to analyze more complex forms, like a sonata.
机译:音乐信息检索技术用于自动提取乐曲的结构数据,但是几乎没有尝试研究自动识别数字文件的音乐形式的方法。在这项工作中,我们提出了一种动态时间扭曲算法的实现方式,该算法通过分段矩阵自动识别音乐形式结构,在该分段矩阵中,我们根据最大相似度对元素进行分组。该系统是在用music21库解析的符号文件中实现的。我们分两部分对其进行了测试:L.V创作的《 A小调》中的第25号Bagatelle。贝多芬和A331大调第11钢琴奏鸣曲,由莫扎特(W.A. Mozart)创作,第三乐章。系统以回旋曲形式正确识别了相似的部分。我们预见到,该算法可以扩展为测量谐波相似度,并能够分析更复杂的形式,如奏鸣曲。

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