On a sustained-vowel dataset of disordered voices, FCN-F0 achieved the highest per-frame fundamental frequency accuracy (96%) and the lowest subharmonic error rate among five estimators tested.
Investigation of vocal bifurcations and voice patterns induced by asymmetry of pathological vocal folds,
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Comparison of fundamental frequency estimators with subharmonic voice signals
On a sustained-vowel dataset of disordered voices, FCN-F0 achieved the highest per-frame fundamental frequency accuracy (96%) and the lowest subharmonic error rate among five estimators tested.