Department of Electronics, Textile & Engineering Institute, Ichalkaranji, India.
Walchand College of Engineering, Sangli, India.
J Appl Genet. 2021 Sep;62(3):459-467. doi: 10.1007/s13353-021-00631-6. Epub 2021 Apr 15.
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.
音乐与遗传学的研究一直是令人着迷的研究领域之一。在这项研究中,我们试图回答最令人好奇的问题——基因上相关的歌手在声学上有多接近?本研究使用两种基因上不同的关系——三位女性兄妹歌手和父女歌手关系,使用宝莱坞电影的歌曲来研究这种感知。三个不同的自开发无伴奏合唱团数据库用于实验。对于两种歌手关系,音高、颤音、共振峰和谐波频谱包络等主要音乐才能之间存在正相关,这表明基因对声学特征有影响。此外,对音色频谱特征的研究证明,它是区分相似声音的一个重要声学特征。通过斯皮尔曼相关系数,我们得出结论,基因相关歌手的声学特征之间存在很强的声学关联,尤其是女性兄妹歌手。通过将这些歌手与基因上不相关的歌手进行相关分析,进一步验证了这一结论。使用翻唱歌曲进行的人类感知测试表明,在声音相似性方面存在遗传影响,而自动歌手识别系统比人类听众更准确地区分歌手。