文献类型：期刊文献

英文题名：Cochlear pitch class profile for cover song identification

作者：Chen, Ning[1];Downie, J. Stephen[2];Xiao, Hai-dong[3];Zhu, Yu[1]

机构：[1]E China Univ Sci & Technol, Shanghai 200237, Peoples R China;[2]Univ Illinois, Champaign, IL 61820 USA;[3]Shanghai Jiao Tong Univ, Shanghai 200240, Peoples R China

年份：2015

卷号：99

起止页码：92

外文期刊名：APPLIED ACOUSTICS

收录：;EI(收录号：20152801025530);WOS:【SCI-EXPANDED(收录号:WOS:000358969200011)】；

基金：This work was partly supported by the National Natural Science Foundation of China (61271349) and the Natural Science Foundation of Shanghai, China (12ZR1415200). The author would like to thank the Graduate School of Library and Information Science of UIUC for their laboratory support.

语种：英文

外文关键词：Audio matching; Cochlear pitch class profile (CPCP); Pop cover song identification

摘要：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.