Browsing Publikační činnost ČVUT by Subject "deep learning"
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Evaluating the Performance of wav2vec Embedding for Parkinson's Disease Detection
(Institute of Measurement Science of the SAS, 2023)Speech is one of the most serious manifestations of Parkinson's disease (PD). Sophisticated language/speech models have already demonstrated impressive performance on a variety of tasks, including classification. By analysing ... -
Federated Learning for Secure Development of AI Models for Parkinson’s Disease Detection Using Speech from Different Languages
(ISCA - International Speech Communication Association, 2023)Parkinson's disease (PD) is a neurological disorder impacting a person's speech. Among automatic PD assessment methods, deep learning models have gained particular interest. Recently, the community has explored cross-pathology ... -
Intelligent suspension system with two-degree-of-freedom hybrid mass dampers
(Department of Instrumentation and Control Engineering, 2020)The presented model discusses the advantages and drawbacks of combining three concepts in vibration suspension. Dual-Loop Controller (DLC) with two-degree-of-freedom Hybrid Mass Damper (HMD) attached to a single degree of ...