A novel method for obstructive sleep apnea severity estimation using speech signals

@article{Kriboy2014ANM,
  title={A novel method for obstructive sleep apnea severity estimation using speech signals},
  author={Maya Kriboy and Ariel Tarasiuk and Yaniv Zigel},
  journal={2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2014},
  pages={3606-3610}
}
Obstructive sleep apnea (OSA) is a prevalent sleep disorder associated with anatomical abnormalities of the upper airway. It is known that anatomic changes in the vocal tract affect the acoustic parameters of speech. We hypothesize that the speech signal contains valuable information that can be utilized for the assessment of OSA severity. We prospectively included 131 men with a variety of OSA severities; subjects were recorded immediately prior to polysomnography study while reading a one… CONTINUE READING

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