During the presentation, I will discuss the potential of using voice biomarkers for diagnosis, risk prediction and remote monitoring of the treatment of various diseases, including neurodegenerative diseases, depression, heart and ENT.
Researcher, Speech Processing Engineer, Machine learning engineer @SoftServe, Scientist @AGH
I work on projects to invent and develop algorithms for feature extraction, quantification, classification, clustering, dimensionality reduction, ensemble methods, neural nets and deep learning, transfer learning. Some of the projects include: A software for the detection of impairments in the human voice based on voice and speech signals processing Functional Magnetic Resonance Imaging signal analysis - develop algorithms for image segmentation, extraction of the BOLD signals and the further statistical analysis of the results.
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