| Abstract
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<p>Application of deep learning tend … <p>Application of deep learning tends to outperform hand-crafted features in many domains. This study uses convolutional neural networks to explore effectiveness of various segments of a speech signal,? – text-dependent pronunciation of a short sentence, – in Parkinson’s disease detection task. Besides the common Mel-frequency spectrogram and its first and second derivatives, inclusion of various other input feature maps is also considered. Image interpolation is investigated as a solution to obtain a spectrogram of fixed length. The equal error rate (EER) for sentence segments varied from 20.3% to 29.5%. Fusion of decisions from sentence segments achieved EER of 14.1%, whereas the best result when using the full sentence exhibited EER of 16.8%. Therefore, splitting speech into segments could be recommended for Parkinson’s disease detection. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.</p>communications Engineering 2018.</p>
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| Author
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Evaldas Vaiciukynas +
, Adas Gelzinis +
, Antanas Verikas +
, Marija Bacauskiene +
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| Conference
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Third EAI International Conference on Smart Objects and Technologies for Social Good, GOODTECHS 2017, Pisa, Italy, November 29-30, 2017
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| DOI
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http://dx.doi.org/10.1007/978-3-319-76111-4_21 +
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| Diva
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http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:1198161
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| EndPage
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215 +
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| HostPublication
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Smart objects and technologies for social good : Third International Conference, GOODTECHS 2017, Pisa, Italy, November 29-30, 2017, Proceedings +
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| PublicationType
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Conference Paper +
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| Publisher
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Springer +
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| Series
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Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; 233 +
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| StartPage
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206 +
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| Title
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Parkinson’s Disease Detection from Speech Using Convolutional Neural Networks +
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| Volume
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233 +
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| Year
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2018 +
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| Has queryThis property is a special property in this wiki.
|
Publications:Parkinson's Disease Detection from Speech Using Convolutional Neural Networks +
, Publications:Parkinson's Disease Detection from Speech Using Convolutional Neural Networks +
, Publications:Parkinson's Disease Detection from Speech Using Convolutional Neural Networks +
, Publications:Parkinson's Disease Detection from Speech Using Convolutional Neural Networks +
, Publications:Parkinson's Disease Detection from Speech Using Convolutional Neural Networks +
, Publications:Parkinson's Disease Detection from Speech Using Convolutional Neural Networks +
, Publications:Parkinson's Disease Detection from Speech Using Convolutional Neural Networks +
, Publications:Parkinson's Disease Detection from Speech Using Convolutional Neural Networks +
, Publications:Parkinson's Disease Detection from Speech Using Convolutional Neural Networks +
, Publications:Parkinson's Disease Detection from Speech Using Convolutional Neural Networks +
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| Categories |
Publication +
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| Modification dateThis property is a special property in this wiki.
|
17 April 2018 20:22:36 +
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