We analyze the concept of virtuosity as a collective attribute in music and its relationship with the entropy based on an experiment that compares two sets of digital signals played by composer-performer electric guitarists. Based on an interdisciplinary approach related to the complex systems, we computed the spectrum of signals, identified statistical distributions that best describe them, and measured the Shannon entropy to establish their diversity. Findings suggested that virtuosity might be related to a range of entropy values that identify levels of diversity of the frequency components of audio signals. Despite the presence of different values of entropy in the two sets of signals, they are statistically similar. Therefore, entropy values can be interpreted as levels of virtuosity in music.

翻译：我们通过一项比较两位作曲兼演奏电吉他手演奏的两组数字信号实验，以音乐中集体属性的精湛技艺概念及其与熵的关系进行分析。基于复杂系统的跨学科方法，我们计算了信号的频谱，识别出最优描述信号的统计分布，并测量香农熵以确定其多样性。研究结果表明，精湛技艺可能与音频信号频率分量多样性的熵值范围相关。尽管两组信号存在不同的熵值，但它们在统计上具有相似性。因此，熵值可被解释为音乐中精湛技艺的度量标准。