A nonlinear operator-based speech feature analysis method with application to vocal fold pathology assessment

Abstract

Traditional speech processing methods for laryngeal pathology assessment assume linear speech production with measures derived from an estimated glottal flow waveform. They normally require the speaker to achieve complete glottal closure, which for many vocal fold pathologies cannot be accomplished. To address this issue, a nonlinear signal processing… (More)

13 Figures and Tables

Statistics

051015'02'04'06'08'10'12'14'16'18
Citations per Year

67 Citations

Semantic Scholar estimates that this publication has 67 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Hansen1998ANO, title={A nonlinear operator-based speech feature analysis method with application to vocal fold pathology assessment}, author={J. Hansen and Liliana Gavidia-Ceballos and J P Kaiser}, journal={IEEE Transactions on Biomedical Engineering}, year={1998}, volume={45}, pages={300-313} }