Studies relating music with genetics have been one of the fascinating fields of research. In this study, we have attempted to answer the most curious question—how acoustically close are the genetically related singers? The present study has investigated this perception using two genetically different relations—three female sibling singers and father-son singer relation. These are famous Indian playback singers and the acoustic features are extracted using the songs of Bollywood films. Three different sets of self-developed cappella database are used for the experimentation. Positive correlations among the major musical aptitudes—pitch, vibrato, formant, and harmonic spectral envelope for both the singer relationships—revealed the genetic impact on the acoustic features. Also, the investigation of timbre spectral feature proved it a significant acoustic feature that differentiates similar voices. With Spearman’s correlation coefficient, we conclude that strong acoustical association was observed between the acoustic features of genetically related singers, especially the female sibling singers. This was further validated by correlating these singers with genetically unrelated singers. A human perception test performed using cover songs indicated the genetic impact in voice similarity, while the automatic singer identification system discriminated singers more accurately than the human listeners.

将音乐与遗传学联系起来的研究一直是令人着迷的研究领域之一。在这项研究中，我们试图回答一个最奇怪的问题——基因相关的歌手在声学上有多接近？本研究使用两种基因不同的关系调查了这种看法——三名女性同胞歌手和父子歌手关系。这些是著名的印度播放歌手，使用宝莱坞电影的歌曲提取声学特征。实验使用了三套不同的自主开发的无伴奏合唱数据库。主要音乐能力之间的正相关——音高、颤音、共振峰和两种歌手关系的谐波频谱包络——揭示了遗传对声学特征的影响。还有，对音色谱特征的研究证明它是区分相似声音的重要声学特征。根据斯皮尔曼的相关系数，我们得出结论，在遗传相关歌手的声学特征之间观察到强烈的声学关联，尤其是女性同胞歌手。通过将这些歌手与基因无关的歌手相关联，进一步验证了这一点。使用翻唱歌曲进行的人类感知测试表明了声音相似性的遗传影响，而自动歌手识别系统比人类听众更准确地识别歌手。尤其是女同胞歌手。通过将这些歌手与基因无关的歌手相关联，进一步验证了这一点。使用翻唱歌曲进行的人类感知测试表明了声音相似性的遗传影响，而自动歌手识别系统比人类听众更准确地识别歌手。尤其是女同胞歌手。通过将这些歌手与基因无关的歌手相关联，进一步验证了这一点。使用翻唱歌曲进行的人类感知测试表明了声音相似性的遗传影响，而自动歌手识别系统比人类听众更准确地识别歌手。