Bibliographic analysis in solving pitch doubling issues

Abstract

Pitch doubling is a pitch detection phenomenon in which an algorithm incorrectly identifies the frequency of a note as either double or half of its actual value, representing one of the major pitfalls for pitch detection accuracy. To review the literature on pitch doubling, this study searched the Web of Science Core Collection and systematically filtered relevant studies. Using VOSviewer bibliometric visualization, the research examined trends based on keywords, institutions, and countries or regions in the pitch doubling research field. Drawing on seminal contributions, the paper describes the underlying causes of pitch doubling (e.g., harmonic interference) and reviews existing mitigation methods (e.g., improved pitch detection algorithms). The weaknesses of current approaches are identified, and conclusions are provided to inform the development of more effective solutions to pitch doubling.