Objectives: The objectives of this study were to trace and describe research patterns in singing voice, to compare the amount of published research over time, to identify journals that published most papers on "singing voice," and to establish the most frequent research topics.
Materials and methods: The study uses qualitative and quantitative approaches through descriptive statistics, text mining, and clustering. The authors conducted a search to identify scientific papers. The titles and abstracts were analyzed regarding word frequency and relations between them, through hierarchical cluster analysis and co-occurrence networks. The frequency of journals was calculated, as well as the amount of papers across time.
Results: Since 1949, 754 papers were published and an increase was noticed. Even though 162 journals were identified by the authors, the Journal of Voice holds the majority of papers, in every analyzed period. An evolution of studied topics is described. Up to 2010, the main theme was professional singers, especially classical and opera interpreters. Since then, voice quality and the effects of training gathered more attention.
Conclusions: The growing interest in singing has been conspicuous since the first indexed paper. However, it has been slightly slowing down. Until 2010, great importance was given to the voice quality of singers and their occupational demands. Acoustic analysis was widely used to study the effects of training. Since 2010, the concern with functionality is increasing, rather than the organic voice structures. Musical perception studies have been a trend, as well as the use of electroglottography.
Keywords: Clustering; Scientometry; Singing; Text mining; Voice.
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