Medium term speaker state detection by perceptually masked spectral features
Acoustic features are designed to detect sleepiness from speech using perceptual content. Perceptual enhancers are used to model human ears spectral perception. The model does not require pre-segmentation and can be adopted to online processing. The achieved results outperformed the baseline studies and reduced computational complexity. We applied SVM and LVQ classifiers and 1030% improvement is obtained.
medium term speaker state sleepiness detection speaker emotion recognition perceptual audio features bag-of-words