Linguistic features and automatic classifiers for identifying mild cognitive impairment and dementia
L Calzà, G Gagliardi, RR Favretti… - Computer Speech & …, 2021 - Elsevier
Almost 50 million people are living with dementia in 2018 worldwide, and the number will
double every 20 years. The effectiveness of existing pharmacologic treatments for the …
double every 20 years. The effectiveness of existing pharmacologic treatments for the …
Residual neural network precisely quantifies dysarthria severity-level based on short-duration speech segments
Recently, we have witnessed Deep Learning methodologies gaining significant attention for
severity-based classification of dysarthric speech. Detecting dysarthria, quantifying its …
severity-based classification of dysarthric speech. Detecting dysarthria, quantifying its …
Automatic estimation of severity of Parkinson's disease based on speech rhythm related features
Diseases, such as Parkinson, impairs cognitive processes of patients, through which speech
is also affected. In this paper, we propose a method for Parkinson's disease severity level …
is also affected. In this paper, we propose a method for Parkinson's disease severity level …
Parkinson's disease severity estimation on hungarian speech using various speech tasks
D Sztahó, I Valálik, K Vicsi - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
In the present paper, classification and severity level estimation are carried out based on
speech applying various speech tasks in order to help developing a method to diagnose the …
speech applying various speech tasks in order to help developing a method to diagnose the …
Automatic separation of various disease types by correlation structure of time shifted speech features
Special disease types may affect the complex mechanisms of speech production in different
ways, causing various speech disorders. This is the reason why extraction of biomarkers …
ways, causing various speech disorders. This is the reason why extraction of biomarkers …
Monitoring of Parkinson's disease progression based on speech signal
D Hemmerling, M Wójcik-Pȩdziwiatr… - … on Information and …, 2023 - ieeexplore.ieee.org
The goal of this study was to determine whether the speech analysis might be useful tool to
track the motor symptoms of patients with Parkinson's disease during the levodopa treatment …
track the motor symptoms of patients with Parkinson's disease during the levodopa treatment …
[PDF][PDF] BME VIK annual research report on electrical engineering and computer science 2016
Since being established in 1949, the Faculty of Electrical Engineering and Informatics (VIK)
BME has played a flagship role in the development of electronics, IT and computer science …
BME has played a flagship role in the development of electronics, IT and computer science …
[PDF][PDF] Az emberi tényezők objektív mérési lehetőségei biztonságkritikus környezetekben: Áttekintés
K Fanni, P Enikő, P Gábor, R Dániel, HCMLS Zrt… - 2018 - mmaws.bme.hu
Absztrakt: A cikk fókuszált áttekintést nyújt a biztonságkritikus környezetek szimulációs
folyamataiban vizsgált emberi tényezőkről:(i) definiálja a munkaterhelés koncepcióját,(ii) …
folyamataiban vizsgált emberi tényezőkről:(i) definiálja a munkaterhelés koncepcióját,(ii) …
[PDF][PDF] Automatikus frázisdetektáló módszereken alapuló patológiás beszédelemzés magyar nyelven
Kivonat A betegségek beszéd alapján történ® korai diagnosztizálása során gyakori az
automatikus osztályozási módszerek alkalmazása. Ezek az eljárások alkalmazhatók arra is …
automatikus osztályozási módszerek alkalmazása. Ezek az eljárások alkalmazhatók arra is …
[引用][C] Betegségek automatikus szétválasztása időben eltolt akusztikai jellemzők korrelációs struktúrája alapján
S Dávid, K Gábor, TM Gábriel, V Klára