论文标题

重新思考评估方法的音频对齐方式

Rethinking Evaluation Methodology for Audio-to-Score Alignment

论文作者

Thickstun, John, Brennan, Jennifer, Verma, Harsh

论文摘要

本文提供了对音频到得分对齐方式的精确,正式的定义。尽管对齐的概念是直观地掌握的,但这种精确度为我们对评估音频到得分对齐算法的评估提供了新的见解。在这些见解的激励下,我们引入了新的评估指标,以进行音频到得分对齐。使用从Kernscores和Maestro表演对得出的对齐评估数据集,我们研究了新的指标的行为以及在几种经典的对齐算法上的标准指标。

This paper offers a precise, formal definition of an audio-to-score alignment. While the concept of an alignment is intuitively grasped, this precision affords us new insight into the evaluation of audio-to-score alignment algorithms. Motivated by these insights, we introduce new evaluation metrics for audio-to-score alignment. Using an alignment evaluation dataset derived from pairs of KernScores and MAESTRO performances, we study the behavior of our new metrics and the standard metrics on several classical alignment algorithms.

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