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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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| 出版年: | J Acoust Soc Am |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Acoustical Society of America
2019
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| 主題: | |
| オンライン･アクセス: | 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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