New Cues in Low-Frequency of Speech for Automatic Detection of Parkinson's Disease.
Elkyn Alexander Belalcázar-BolañosJuan Rafael Orozco-ArroyaveJesús Francisco Vargas-BonillaJulián D. Arias-LondoñoCésar Germán Castellanos-DomínguezElmar NöthPublished in: IWINAC (1) (2013)
Keyphrases
- automatic detection
- low frequency
- high frequency
- frequency domain
- wavelet transform
- diabetic retinopathy
- speech recognition
- automatically detecting
- subband
- high frequency components
- discrete wavelet transform
- audio visual
- electromagnetic fields
- speech signal
- frequency band
- original images
- speaker identification
- wavelet coefficients
- broadcast news
- spatial domain
- input image
- high resolution
- fusion rules
- feature vectors