2 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
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…
Time-varying harmonic models for voice signal analysis
Takeshi Ikuma, Andrew J. McWhorter, Lacey Adkins +1
Assessment of voice signals has long been performed with the assumption of periodicity as this facilitates analysis. Near periodicity of normal voice signals makes short-time harmo…