A procedure for an automated measurement of song similarity
A procedure for an automated measurement of song similarity
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DOI：
10.1006/anbe.1999.1416
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发表时间：
2000-06-01
期刊：
影响因子：
2.5
通讯作者：
Mitra, PP
中科院分区：
文献类型：
--
作者：
Tchernichovski, O;Nottebohm, F;Mitra, PP
声乐模仿的评估需要一个广泛接受的方式来描述和衡量任何相似之处之间的歌曲导师和他的学生。然而，量化两首歌曲之间的相似性可能很困难，而且充满了主观偏见。我们提出了一个完全自动化的过程，参数化的措施歌曲之间的相似性。我们测试了它的性能在一个大型数据库的斑胸草雀，Taeniopygia guttata，歌曲。该程序使用现代频谱分析的分析框架来表征歌曲的声学结构。这种分析提供了一个上级声谱图，然后将其简化为一组简单的声学特征。基于这些特征，该过程自动检测歌曲之间的相似部分。此外，该程序可用于检查：（1）声学特征的模仿准确性;（2）歌曲发展;（3）大脑病变对特定歌曲特征的影响;以及（4）同一个人、不同个体和不同人群对歌曲或叫声的不同演绎的变异性。通过提供程序，我们希望促进采用标准的，自动化的方法来测量歌曲或呼叫之间的相似性。(C)2000年，动物行为研究协会。
Assessment of vocal imitation requires a widely accepted way of describing and measuring any similarities between the song of a tutor and that of its pupil. Quantifying the similarity between two songs, however, can be difficult and fraught with subjective bias. We present a fully automated procedure that measures parametrically the similarity between songs. We tested its performance on a large database of zebra finch, Taeniopygia guttata, songs. The procedure uses an analytical framework of modern spectral analysis to characterize the acoustic structure of a song. This analysis provides a superior sound spectrogram that is then reduced to a set of simple acoustic features. Based on these features, the procedure detects similar sections between songs automatically. In addition, the procedure can be used to examine: (1) imitation accuracy across acoustic features; (2) song de development; (3) the effect of brain lesions on specific song features; and (4) variability across different renditions of a song or a call produced by the same individual, across individuals and across populations. By making the procedure available we hope to promote the adoption of a standard, automated method for measuring similarity between songs or calls. (C) 2000 The Association for the Study of Animal Behaviour.