About me

I am a phd student at CTU in Prague at the Faculty of Electrical Engineering (FEE). Currently part of SAMI team, a signal analysis, modelling and interpretation group concerned with fundamental and applied research in biomedical engineering. Working on development and assessment of algorithms for speech features extraction, their implemenation in various determining scenarios and usage for neurodegenerative diseases severity evaluation.

My professional interests include signal processing, speech, sound and image processing, wireless communication - physical layer, mobile applications development. Experience in Kotlin, C, C++, Python and Julia programming languages and environment of MATLAB, Maple. I‘d like to be involved in developing new tools, methods and approaches as a process of innovation and improvement.

Among my personal interests you can find running, orienteering, cycling, swimming, cross-country skiing, hiking, guitar, analogue and digital photography, listening to music, PC games and documents design.

Contact

office: C4/461 CTU FEE vojtech.illner (at) fel.cvut.cz vojta.illner (at) gmail.com

Teaching

Adaptive signal processing course, exercises in the winter semester at CTU FEE. Syllabus.

Published articles

V. Illner, P. Krýže, J. Švihlík, M. Sousa, P. Krack, E. Tripoliti, R. Jech, and J. Rusz, Which aspects of motor speech disorder are captured by Mel Frequency Cepstral Coefficients? Evidence from the change in STN-DBS conditions in Parkinson’s disease, INTERSPEECH 2023. Nomination for the ISCA best student submission. Link here

J. Švihlík, V. Illner, P. Krýže, M. Sousa, P. Krack, E. Tripoliti, R. Jech, and J. Rusz, Relationship between LTAS-based spectral moments and acoustic parameters of hypokinetic dysarthria in Parkinson’s disease, INTERSPEECH 2023. Link here

V. Illner, T. Tykalová, D. Škrabal, J. Klempíř, and J. Rusz, Automated Vowel Articulation Analysis in Connected Speech Among Progressive Neurological Diseases, Dysarthria Types, and Dysarthria Severities, Journal of Speech Language and Hearing Research, 66(1) (2023) pp. 1-22. Link here

T. Kouba, V. Illner, and J. Rusz, Study protocol for using a smartphone application to investigate speech biomarkers of Parkinson’s disease and other synucleinopathies: SMARTSPEECH, BMJ Open, 12(6) (2022). Link here

V. Illner, T. Tykalová, M. Novotný, J. Klempíř, P. Dušek, and J. Rusz, Toward Automated Articulation Rate Analysis via Connected Speech in Dysarthrias, Journal of Speech, Language, and Hearing Research, 65(4) (2022) pp. 1386-1401. Link here

V. Illner, P. Sovka, J. Rusz, Validation of freely-available pitch detection algorithms across various noise levels in assessing speech captured by smartphone in Parkinson’s disease, Biomed. Sig. Proc. and Control 58 (2020) pp. 101831. Link here