The Dysarthria Analyzer represents more than a decade of rigorous scientific research and international collaboration in speech analysis and neurological assessment. Built upon peer-reviewed research and validated across multiple languages and disorders, this cutting-edge software has become a cornerstone tool for researchers, clinicians, and institutions worldwide studying speech disorders in conditions ranging from Parkinson's disease and multiple sclerosis to progressive supranuclear palsy and beyond.
Today, DYSAN serves a vibrant global community of researchers, clinicians, and institutions advancing speech pathology research through innovative acoustic analysis. Whether you're a seasoned researcher, clinical practitioner, or newcomer to speech pathology, DYSAN provides validated research tools supported by an active international community advancing neurological health through speech analysis.
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2024
Diao, Y., Xie, H., Wang, Y., Zhao, B., Yang, A., Hlavnicka, J., & Zhang, J. (2024). "Acoustic assessment in mandarin-speaking Parkinson’s disease patients and disease progression monitoring and brain impairment within the speech subsystem," npj Parkinson's Disease, 10(1): 115.
2020
J. Hlavnička, T. Tykalová, O. Ulmanová, P. Dušek, D. Horáková, J. Klempíř, and J. Rusz. (2020). “Characterizing vocal tremor in progressive neurological diseases via automated acoustic analyses,” Clinical Neurophysiology, 131(5 May): 1155-1165. [Editorial]
2019
J. Hlavnička, R. Čmejla, J. Klempíř, E. Růžička, and J. Rusz. (2019).”Acoustic tracking of pitch, modal and subharmonic vibrations of vocal folds in Parkinson’s disease and Parkinsonism,” IEEE Access, 7(December): 150339-150354.
2017
J. Hlavnička, R. Čmejla, T. Tykalová, K. Šonka, E. Růžička, and J. Rusz (2017). “Automated analysis of connected speech reveals early biomarkers of Parkinson’s disease in patients with rapid eye movement sleep behaviour disorder,” Scientific Reports, 7(February): 12.
2026
Dean, J. M., Iankova, V., Roberts, A., & Schneider, S. A. (2026). Characteristics and Validity of Commercially Available Technologies Analyzing Voice Features to Assess Parkinson's Disease. Movement Disorders Clinical Practice, 13(1), 60-70.
2026
Ranucci, D., Falco, F., Nicolella, V., Marra, L. A., Caracciolo, F., Migliaccio, L., ... & Carotenuto, A. (2026). Dysarthria assessment in multiple sclerosis patients. Multiple Sclerosis Journal, 32(1), 134-143.
2025
Thies, T., Mallick, E., Tröger, J., Baykara, E., Mücke, D., & Barbe, M. T. (2025). Automatic speech analysis combined with machine learning reliably predicts the motor state in people with Parkinson’s disease. npj Parkinson's Disease, 11(1), 105.
2024
Dubbioso, R., Spisto, M., Verde, L., Iuzzolino, V. V., Senerchia, G., De Pietro, G., ... & Sannino, G. (2024). Precision medicine in ALS: Identification of new acoustic markers for dysarthria severity assessment. Biomedical Signal Processing and Control, 89, 105706.
2023
Cmejla R, Novotny M, Rusz J, Tykalova T, Vimr J, Hlavnicka J. The automated screening of speech motor development in children based on the sequential motion rate. Comp Biol Med 2023; 162:107086.
2023
Thies, T., Schreen, J., Jergas, H., & Barbe, M. T. (2023). Testing the applicability of the dysarthria analyzer to detect levodopa effects on speech in a German cohort of people with Parkinson’s disease. Neurology, 97(21), e2124-e2135.
2021
Rusz J, Hlavnicka J, Novotny M, Tykalova T, Pelletier A, Montplaisir J, Gagnon J-F, Dusek P, Galbiati A, Marelli S, Timm PC, Teigen LN, Janzen A, Habibi M, Stefani A, Holzknecht E, Seppi K, Evangelista E, Rassu AL, Dauvilliers Y, Hogl B, Oertel W, St Louis EK, Ferini-Strambi L, Ruzicka E, Postuma RB, Sonka K. Speech biomarkers in rapid eye movement sleep behaviour disorder and Parkinson’s disease. Ann Neurol 2021; 90:62-75.
2020
J. Hlavnička, T. Tykalová, O. Ulmanová, P. Dušek, D. Horáková, J. Klempíř, and J. Rusz. (2020). “Characterizing vocal tremor in progressive neurological diseases via automated acoustic analyses,” Clinical Neurophysiology, 131(5 May): 1155-1165. [Editorial]
2019
J. Hlavnička, R. Čmejla, J. Klempíř, E. Růžička, and J. Rusz. (2019).”Acoustic tracking of pitch, modal and subharmonic vibrations of vocal folds in Parkinson’s disease and Parkinsonism,” IEEE Access, 7(December): 150339-150354.
2018
J. Rusz, B. Beňová, H. Růžičková, M. Novotný, T. Tykalová, J. Hlavnička, T. Uher, M. Vaněčková, M. Andělová, K. Novotná, L. Kadrnožková, and D. Horáková. (2018). “Characteristics of motor speech phenotypes in multiple sclerosis,” Multiple Sclerosis and Related Disorders, 19(1 January): 62-69.
2018
J. Rusz, J. Hlavnička, T. Tykalová, M. Novotný, P. Dušek, K. Šonka, and E. Růžička. (2018). “Smartphone allows capture of speech abnormalities associated with high risk of developing Parkinson’s disease,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(8 August): 1495-1507.
2017
J. Hlavnička, R. Čmejla, T. Tykalová, K. Šonka, E. Růžička, and J. Rusz (2017). “Automated analysis of connected speech reveals early biomarkers of Parkinson’s disease in patients with rapid eye movement sleep behaviour disorder,” Scientific Reports, 7(February): 12.
2017
J. Rusz, M. Novotný, J. Hlavnička, T. Tykalová, and E. Růžička. (2017). High-accuracy voice-based classification between patients with Parkinson’s disease and other neurological diseases may be an easy task with inappropriate experimental design. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(8 August): 1319-1321.
2016
J. Rusz, J. Hlavnička, T. Tykalová, J. Bušková, O. Ulmanová, E. Růžička and K. Šonka. (2016). “Quantitative assessment of motor speech abnormalities in idiopathic rapid eye movement sleep behaviour disorder,” Sleep Medicine, 19(3 March): 141-147.
2016
J. Rusz, J. Hlavnička, T. Tykalová, J. Bušková, O. Ulmanová, E. Růžička and K. Šonka. (2016). “Quantitative assessment of motor speech abnormalities in idiopathic rapid eye movement sleep behaviour disorder,” Sleep Medicine, 19(3 March): 141-147.
2016
M. Novotný, J. Rusz, R. Čmejla, H. Růžičková, J. Klempíř, and E. Růžička. (2016). “Hypernasality associated with basal ganglia dysfunction: evidence from Parkinson’s disease and Huntington’s disease,” PeerJ, 4(September): 2530. [suppl. material]
2015
J. Rusz, J. Hlavnička, R. Čmejla, and E. Růžička. (2015). “Automatic evaluation of speech rhythm instability and acceleration in dysarthrias associated with basal ganglia dysfunction,” Frontiers in Bioengineering and Biotechnology, 3(July):104.
2015
Rusz, J. Hlavnička, R. Čmejla, and E. Růžička. (2015). “Automatic evaluation of speech rhythm instability and acceleration in dysarthrias associated with basal ganglia dysfunction,” Frontiers in Bioengineering and Biotechnology, 3(July):104.
Dysarthria Analyzer has been developed and improved through the generous contributions of many dedicated researchers, clinicians, and users from around the world. I would like to express my sincere gratitude to:
Hlavnička, J. (2018). Automated analysis of speech disorders in neurodegenerative diseases. Doctoral Thesis. Czech Technical University in Prague: Prague, Czech Republic.
Hlavnička, J. (2023, May 20). Version (3.1). The Dysarthria Analyzer. Retrieved July 16, 2023, from www.dysan.cz.
Enhance the visual appeal of your research presentations with our carefully designed logo available in PNG, PDF, or SVG format and comprehensive graphic manual.
graphic_ manual.pdf logo_dysarthria_analyzer.zip