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Natural language features for detection of Alzheimer's disease in conversational speech
(IEEE, 2014)
Automatic monitoring of the patients with Alzheimer's disease and diagnosis of the disease in early stages can have a significant impact on the society. Here, we investigate an automatic diagnosis approach through the use ...
Analysis of speech-based measures for detecting and monitoring Alzheimer’s disease
(Springer Science+Business Media, 2014)
Automatic diagnosis of the Alzheimer’s disease as well as monitoring of the diagnosed patients can make significant economic impact on societies. We investigated an automatic diagnosis approach through the use of speech ...
Finding relevant features for statistical speech synthesis adaptation
(European Language Resources Association, 2014-05)
Statistical speech synthesis (SSS) models typically lie in a very high-dimensional space. They can be used to allow speech synthesis on digital devices, using only few sentences of input by the user. However, the adaptation ...
Eigenvoice speaker adaptation with minimal data for statistical speech synthesis systems using a MAP approach and nearest-neighbors
(IEEE, 2014-12)
Statistical speech synthesis (SSS) systems have the ability to adapt to a target speaker with a couple of minutes of adaptation data. Developing adaptation algorithms to further reduce the number of adaptation utterances ...
Detection of Alzheimer's disease using prosodic cues in conversational speech
(IEEE, 2014)
Automatic diagnosis of the Alzheimer's disease as well as monitoring of the diagnosed patients can make significant economic impact on societies. We investigated an automatic diagnosis approach through the use of speech ...
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