The relationship between parameters extracted from the musical stimuli and emotional response has been traditionally approached using several physical measures extracted from time or frequency domains. From time-domain measures, the musical onset is defined as the moment in that any musical instrument or human voice issues a musical note. The onsets’ sequence in the performance of a specific musical score creates what is known as the onset curve (OC). The influence of the structure of OC on the emotional judgment of people is not known. To this end, we have applied principal component analysis on a complete set of variables extracted from the OC to capture their statistical structure. We have found a trifactorial structure related to activation and valence dimensions of emotional judgment. The structure has been cross-validated using different participants and stimuli. In this way, we propose the factorial scores of the OC as a reliable and relevant piece of information to predict the emotional judgment of music.

从音乐刺激中提取的参数与情绪反应之间的关系传统上是使用从时域或频域中提取的几种物理量度来处理的。从时域测量来看，音乐开始被定义为任何乐器或人声发出音符的时刻。特定乐谱演奏中的开始顺序创造了所谓的开始曲线 (OC)。OC的结构对人的情绪判断的影响尚不清楚。为此，我们对从 OC 中提取的一整套变量应用了主成分分析，以捕捉它们的统计结构。我们发现了与情绪判断的激活和效价维度相关的三因素结构。该结构已使用不同的参与者和刺激进行了交叉验证。通过这种方式，我们提出 OC 的阶乘分数作为可靠且相关的信息来预测音乐的情绪判断。