2 papers
eess.AS2025
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks
Takeshi Ikuma, Melda Kunduk, Brad Story +1
Many voice disorders induce subharmonic phonation, but voice signal analysis is currently lacking a technique to detect the presence of subharmonics reliably. Distinguishing subhar…
eess.AS2025
Comparison of fundamental frequency estimators with subharmonic voice signals
Takeshi Ikuma, Melda Kunduk, Andrew J. McWhorter
In clinical voice signal analysis, mishandling of subharmonic voicing may cause an acoustic parameter to signal false negatives. As such, the ability of a fundamental frequency est…