Cochlear pitch class profile for cover song identification
Cochlear pitch class profile for cover song identification
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用于识别翻唱歌曲的耳蜗音级配置文件
DOI：
10.1016/j.apacoust.2015.06.003
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发表时间：
2015-12-01
影响因子：
3.4
通讯作者：
Zhu, Yu
中科院分区：
文献类型：
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作者：
Chen, Ning;Downie, J. Stephen;Zhu, Yu
音高类特征（PCP）是一种广泛应用于翻唱版本识别的音频特征，它能很好地表征乐曲的和声进行。在这封信中，我们描述了一种新的程序，通过大幅提高乐器伴奏不变性的程度来增强PCP，而不会降低特征的鉴别能力。我们的想法是基于这样一个假设，即人耳可以根据自己的歌声快速而轻松地识别出流行歌曲的翻唱。因此，我们将心理声学中已成功应用于语音识别领域的时变响度轮廓和临界带两个概念与传统的PCP描述子相结合，增强其判别能力。由于cpcp旨在表现歌唱的声音，当应用于无伴奏合唱录音时，它们也可以获得更好的表现（与传统的pcp相比）。实验结果表明，所得到的耳蜗音高分类特征（CPCP）在流行翻唱歌曲识别中优于传统的PCP特征。(C) 2015 Elsevier Ltd.版权所有。
Pitch class profile (PCP), which can represent the harmonic progression of a piece of music very well, is one of the widely used audio features for cover version identification. In this letter, we describe a novel procedure that enhances PCP by substantially boosting the degree of instrumental accompaniment invariance without degrading the feature's discriminative power. Our idea is based on the assumption that human ear can identify a cover of a pop song based on their singing voice quickly and easily. So, we combine two concepts from psychoacoustics: (i) time-varying loudness contour and (ii) critical band, which have been used in speech recognition field successfully, with the conventional PCP descriptor to enhance its discriminative power. Since the CPCPs aim at a representation of singing voice, they may also obtain improved performance (as compared to conventional PCPs) when applied to a cappella singing recordings. Experimental results demonstrate that the resulting PCP feature, called cochlear pitch class profile (CPCP), outperforms conventional PCP feature in the context of pop cover song identification application. (C) 2015 Elsevier Ltd. All rights reserved.