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首页> 外文期刊>Audio, Speech, and Language Processing, IEEE Transactions on >Towards Timbre-Invariant Audio Features for Harmony-Based Music
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Towards Timbre-Invariant Audio Features for Harmony-Based Music

机译:面向基于和弦音乐的音色不变音频功能

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摘要

Chroma-based audio features are a well-established tool for analyzing and comparing harmony-based Western music that is based on the equal-tempered scale. By identifying spectral components that differ by a musical octave, chroma features possess a considerable amount of robustness to changes in timbre and instrumentation. In this paper, we describe a novel procedure that further enhances chroma features by significantly boosting the degree of timbre invariance without degrading the features' discriminative power. Our idea is based on the generally accepted observation that the lower mel-frequency cepstral coefficients (MFCCs) are closely related to timbre. Now, instead of keeping the lower coefficients, we discard them and only keep the upper coefficients. Furthermore, using a pitch scale instead of a mel scale allows us to project the remaining coefficients onto the 12 chroma bins. We present a series of experiments to demonstrate that the resulting chroma features outperform various state-of-the art features in the context of music matching and retrieval applications. As a final contribution, we give a detailed analysis of our enhancement procedure revealing the musical meaning of certain pitch-frequency cepstral coefficients.
机译:基于色度的音频功能是一种成熟的工具,用于分析和比较基于等谐音阶的基于和声的西方音乐。通过识别以八度音阶不同的频谱分量,色度特征对于音色和乐器的变化具有相当大的鲁棒性。在本文中,我们描述了一种新颖的程序,该程序通过显着提高音色不变性的程度而又不降低特征的辨别力,从而进一步增强了色度特征。我们的想法基于公认的观察结果,即较低的梅尔频率倒谱系数(MFCC)与音色密切相关。现在,我们不再保留较低的系数,而是丢弃它们,而仅保留较高的系数。此外,使用音高刻度代替梅尔刻度可以使我们将其余系数投影到12个色度仓上。我们提出了一系列实验,以证明在音乐匹配和检索应用程序中,所得的色度功能优于各种最新功能。作为最后的贡献,我们对增强过程进行了详细分析,揭示了某些音调频率倒谱系数的音乐含义。

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