Dysphonia detected by pattern recognition of spectral composition.

Abstract

The vowel [a:] in a test word, judged normal or dysphonic, was examined with the Self-Organizing Map; the artificial neural network algorithm of Kohonen. The algorithm produces two-dimensional representations (maps) of speech. Input to the acoustic maps consisted of 15-component spectral vectors calculated at 9.83-msec intervals from short-time power… (More)

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Cite this paper

@article{Leinonen1992DysphoniaDB, title={Dysphonia detected by pattern recognition of spectral composition.}, author={Lisa Leinonen and Juhani Kangas and Kari Torkkola and Anja Juvas}, journal={Journal of speech and hearing research}, year={1992}, volume={35 2}, pages={287-95} }