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- W2480322015 abstract "The aim of this study is to discriminate between patients with Parkinson's disease and patients who suffer from other Neurological disorders by analyzing voice recordings in cepstral domain. The technique used in this study is to extract cepstral coefficient of ReAlitive SpecTrAl PLP (RASTA-PLP). The extracted RASTA-PLP cepstral coefficients were compressed by calculating their average value in order to get the Voiceprint from each voice recording. For classification, we used Leave one subject out validation scheme along with SVM supervised learning classifier. The best obtained accuracy was 85%." @default.
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- W2480322015 date "2016-05-01" @default.
- W2480322015 modified "2023-10-06" @default.
- W2480322015 title "Using RASTA-PLP for discriminating between different Neurological diseases" @default.
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- W2480322015 doi "https://doi.org/10.1109/eitech.2016.7519630" @default.
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