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Lightweight measures for timbral similarity of musical audio

机译:轻量级的音乐音频音色相似度

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Timbral similarity measures basedon Mel-Frequency Cepstral Coefficients have been widely reported as the basis for a possible general music similarity function, which would have wide application to searching, browsing and recommendation. Many of the reported methods, however, have computational requirements that make them impractical for searching realistic collections using current hardware. We compare lightweight measures that appear to perform equally well, and introduce a simplification that reduces memory requirements and execution time by a further order of magnitude. This yields a similarity measure that will scale easily to large commercial collections. We give comparative results over two contrasting music collections, one of which has been widely studied, allowing direct comparison with previous work.
机译:已经广泛报道了基于梅尔频率倒谱系数的音色相似性度量作为可能的一般音乐相似性函数的基础,该函数将广泛应用于搜索,浏览和推荐。但是,许多报告的方法都具有计算要求,这使它们对于使用当前硬件搜索实际集合不切实际。我们比较了看起来性能相同的轻量级措施,并引入了简化措施,将内存需求和执行时间进一步降低了一个数量级。这样就产生了一种相似性度量,可以很容易地扩展到大型商业馆藏。我们给出了两个对比鲜明的音乐收藏的比较结果,其中之一已被广泛研究,可以与以前的作品进行直接比较。

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