认识主观性对弦估计精度测量的影响

Y. Ni, Matt McVicar, Raúl Santos-Rodríguez, T. D. Bie
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引用次数: 42

摘要

为了评估自动弦估计系统的性能,参考注释是必不可少的。然而,由于音乐的复杂性和复调音乐中有时模棱两可的和声结构,和弦注释本质上是主观的,因此任何导出的准确性估计也将是主观的。本文研究了参考文献注释中主观性混淆效应的程度。我们的研究结果表明,这种影响是重要的,并且它们以不同的方式影响不同类型的自动和弦估计系统。我们的研究结果不仅对自动和弦估计的研究有启示意义,而且对其他通过与人为提供的受主观性混淆的注释进行比较来评估性能的领域也有启示意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding Effects of Subjectivity in Measuring Chord Estimation Accuracy
To assess the performance of an automatic chord estimation system, reference annotations are indispensable. However, owing to the complexity of music and the sometimes ambiguous harmonic structure of polyphonic music, chord annotations are inherently subjective, and as a result any derived accuracy estimates will be subjective as well. In this paper, we investigate the extent of the confounding effect of subjectivity in reference annotations. Our results show that this effect is important, and they affect different types of automatic chord estimation systems in different ways. Our results have implications for research on automatic chord estimation, but also on other fields that evaluate performance by comparing against human provided annotations that are confounded by subjectivity.
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来源期刊
IEEE Transactions on Audio Speech and Language Processing
IEEE Transactions on Audio Speech and Language Processing 工程技术-工程:电子与电气
自引率
0.00%
发文量
0
审稿时长
24.0 months
期刊介绍: The IEEE Transactions on Audio, Speech and Language Processing covers the sciences, technologies and applications relating to the analysis, coding, enhancement, recognition and synthesis of audio, music, speech and language. In particular, audio processing also covers auditory modeling, acoustic modeling and source separation. Speech processing also covers speech production and perception, adaptation, lexical modeling and speaker recognition. Language processing also covers spoken language understanding, translation, summarization, mining, general language modeling, as well as spoken dialog systems.
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