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Paralinguistic singing attribute recognition using supervised machine learning for describing the classical tenor solo singing voice in vocal pedagogy
2022
EURASIP Journal on Audio, Speech, and Music Processing
AbstractHumans can recognize someone's identity through their voice and describe the timbral phenomena of voices. Likewise, the singing voice also has timbral phenomena. In vocal pedagogy, vocal teachers listen and then describe the timbral phenomena of their student's singing voice. In this study, in order to enable machines to describe the singing voice from the vocal pedagogy point of view, we perform a task called paralinguistic singing attribute recognition. To achieve this goal, we first
doi:10.1186/s13636-022-00240-z
pmid:35440938
pmcid:PMC9011380
fatcat:jg74ioju4jb6flzsmlhtgygxey