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- W1499522565 abstract "The speech is an easily accessible signal which clearly represents the characteristics of larynx and vocal folds. Therefore, application of some proper machine learning algorithms on a small part of a recorded speech signal may help in non-invasive diagnosing of vocal fold diseases. Since there are some experimental evidences that suggest the existence of chaotic behavior in speech production system, in this paper a new method is proposed to predict vocal fold pathologies using its chaotic characteristics. The proposed method is based on modeling of pathological voice as a speech trajectory in the reconstructed phase space." @default.
- W1499522565 created "2016-06-24" @default.
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- W1499522565 date "2013-01-01" @default.
- W1499522565 modified "2023-09-23" @default.
- W1499522565 title "Are speech attractor models useful in diagnosing vocal fold pathologies?" @default.
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- W1499522565 doi "https://doi.org/10.4103/2228-7477.120978" @default.
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