Title :
Analysis of vocal-fold motion from laryngeal image sequences
Author :
Gonzalez, Jose ; Wood, Sally L. ; Yuling Yan
Author_Institution :
Electr. Eng. Dept., Santa Clara Univ., Santa Clara, CA, USA
Abstract :
Analysis of vocal-fold vibration from high speed laryngeal images has been shown to have diagnostic value in the assessment of normal and abnormal voice production. This paper presents a new way to define the boundaries of the vocal-fold opening that is computationally efficient and operates successfully over a range of threshold settings. The area within these boundaries is computed for each image frame to produce the glottal area waveform (GAW) as a function of time. The frequency content of the GAW is analyzed to compare with previous results used for clinical evaluation. In addition, analysis of the glottal area waveform used by others is extended to include new parameters using Fourier descriptors of the boundary contours.
Keywords :
biomechanics; image motion analysis; image sequences; medical image processing; vibrations; waveform analysis; Fourier descriptors; GAW; abnormal voice production assessment; boundary contours; clinical evaluation; frequency content; glottal area waveform; high speed laryngeal image sequences; image frame; normal voice production assessment; vocal-fold motion analysis; vocal-fold vibration analysis; Approximation methods; Cameras; Computational efficiency; Harmonic analysis; Production; Shape; Spectrogram; Fourier descriptors; frequency of vocal-fold vibration; glottal area waveform; laryngeal imaging;
Conference_Titel :
Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), 2013 IEEE
Conference_Location :
Napa, CA
Print_ISBN :
978-1-4799-1614-6
DOI :
10.1109/DSP-SPE.2013.6642573