Refining algorithmic estimation of relative fundamental frequency: Accounting for sample characteristics and fundamental frequency estimation method

Relative fundamental frequency (RFF) is a promising acoustic measure for evaluating voice disorders. Yet, the accuracy of the current RFF algorithm varies across a broad range of vocal signals. The authors investigated how fundamental frequency (f(o)) estimation and sample characteristics impact the...

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Dades bibliogràfiques
Publicat a:J Acoust Soc Am
Autors principals: Vojtech, Jennifer M., Segina, Roxanne K., Buckley, Daniel P., Kolin, Katharine R., Tardif, Monique C., Noordzij, J. Pieter, Stepp, Cara E.
Format: Artigo
Idioma:Inglês
Publicat: Acoustical Society of America 2019
Matèries:
Speech Communication
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6847943/
https://ncbi.nlm.nih.gov/pubmed/31795681
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1121/1.5131025
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