Temporal Segmentation for Laryngeal High-Speed Videoendoscopy in Connected Speech.

ABSTRACT:

Objective

This study proposes a gradient-based method for temporal segmentation of laryngeal high-speed videoendoscopy (HSV) data obtained during connected speech.

Methods

A custom-developed HSV system coupled with a flexible fiberoptic nasolaryngoscope was used to record one vocally normal female participant during reading of the "Rainbow Passage." A gradient-based algorithm was developed to generate a motion window. When applied to the HSV data, the motion window acted as a filter tracking the location of the vibrating vocal folds. The glottal area waveform was estimated using a statistical-based image-processing approach. The vocal fold vibratory frequency was computed by an autocorrelation-based extraction of the fundamental frequency (f₀) from the glottal are

SUBMITTER: Naghibolhosseini M 

PROVIDER: S-EPMC5740029 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature