Across three experiments, the present study tested specific hypotheses regarding how the encoding of different isolated musical feature-types (rhythm and pitch) affects perceived familiarity with later piano song clips in which those features are embedded. The results are broadly consistent with global matching approaches to the computation of the familiarity signal for a musical piece. Further, the results suggest that during the global matching process, the feature-match assessments of separately encoded instances of isolated rhythm and isolated pitch information combine additively across memory traces to increase the familiarity of the test song clip in which they are embedded. As we show through simulations, this additive combination of feature-match levels across memory traces adheres to an assumption present in the MINERVA 2 model of familiarity signal computation.

在三个实验中，本研究测试了关于不同孤立音乐特征类型（节奏和音高）的编码如何影响后来嵌入这些特征的钢琴曲片段的熟悉度的特定假设。结果与用于音乐作品的熟悉度信号的整体匹配方法大致一致。此外，结果表明，在全局匹配过程中，独立节奏和独立音高信息的单独编码实例的特征匹配评估在存储迹线上进行累加组合，以提高对其嵌入其中的测试歌曲剪辑的熟悉度。正如我们通过仿真显示的那样，