Modified Perceptual Linear Prediction Liftered Cepstrum (MPLPLC) Model for Pop Cover Song Recognition
Modified Perceptual Linear Prediction Liftered Cepstrum (MPLPLC) Model for Pop Cover Song Recognition
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发表时间：
2015
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通讯作者：
Ning Chen;J. S. Downie;Haidong Xiao;Y. Zhu;Jie Zhu
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作者：
Ning Chen;J. S. Downie;Haidong Xiao;Y. Zhu;Jie Zhu
翻唱歌曲识别（CSI）的大部分功能，例如与音高类别（PCP）相关的功能，都是基于翻唱版本之间共享的音乐层面：旋律演变和和声进行。在这项工作中，感知特征的CSI进行了研究。我们的想法是通过（a）引入心理物理学的新研究成果，（B）考虑语音和音乐信号的差异，对自动语音识别（ASR）领域的感知线性预测（PLP）模型进行改进，使其与人类听觉一致，更适合于音乐信号的分析。此外，将获得的线性预测系数（LPC）映射到LPC倒谱系数，对其应用提升，以提高所得功能：Modified艾德感知线性预测提升倒谱（MPLPLC）的音色不变性。实验结果表明，LPC倒谱系数映射和倒谱提升是保证MPLPLC特征识别能力的关键。MPLPLC功能优于国家的最先进的功能，在CSI的背景下，并在resisting器乐伴奏变化。这项研究证实，ASR或计算听觉场景分析（CASA）领域的成熟技术可以进行修改和艾德，以提高音乐信息检索（MIR）计划的性能。
Most of the features of Cover Song Identification (CSI), for example, Pitch Class Profile (PCP) related features, are based on the musical facets shared among cover versions: melody evolution and harmonic progression. In this work, the perceptual feature was studied for CSI. Our idea was to modify the Perceptual Linear Prediction (PLP) model in the field of Automatic Speech Recognition (ASR) by (a) introducing new research achievements in psychophysics, and (b) considering the difference between speech and music signals to make it consistent with human hearing and more suitable for music signal analysis. Furthermore, the obtained Linear Prediction Coefficients (LPCs) were mapped to LPC cepstrum coefficients, on which liftering was applied, to boost the timbre invariance of the resultant feature: Modified Perceptual Linear Prediction Liftered Cepstrum (MPLPLC). Experimental results showed that both LPC cepstrum coefficients mapping and cepstrum lif-tering were crucial in ensuring the identification power of the MPLPLC feature. The MPLPLC feature outperformed state-of-the-art features in the context of CSI and in re-sisting instrumental accompaniment variation. This study verifies that the mature techniques in the ASR or Computational Auditory Scene Analysis (CASA) fields may be modified and included to enhance the performance of the Music Information Retrieval (MIR) scheme.