Classification of Dysphonic Voices in Parkinson’s Disease with Semi-Supervised Competitive Learning Algorithm
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DOI: 10.3390/bios12070502
Abstract: This article proposes a novel semi-supervised competitive learning (SSCL) algorithm for vocal pattern classifications in Parkinson’s disease (PD). The acoustic parameters of voice records were grouped into the families of jitter, shimmer, harmonic-to-noise, frequency, and… read more here.
Keywords: semi supervised; supervised competitive; parkinson disease; competitive learning ... See more keywords