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2020 – today
- 2023
[j6]Michal Novotny, Roman Cmejla, Tereza Tykalová:
Automated prediction of children's age from voice acoustics. Biomed. Signal Process. Control. 81: 104490 (2023)- [j5]Roman Cmejla
, Michal Novotny, Jan Rusz, Tereza Tykalová, Jan Vimr, Jan Hlavnicka:
The automated screening of speech motor development in children based on the sequential motion rate. Comput. Biol. Medicine 162: 107086 (2023) - 2021
- [c14]Carlos A. Ferrer, Efren Aragón, María E. Hdez-Díaz, Marc S. De Bodt, Roman Cmejla, Marina Englert, Mara Behlau, Elmar Nöth:
Modeling Dysphonia Severity as a Function of Roughness and Breathiness Ratings in the GRBAS Scale. Interspeech 2021: 1414-1418
2010 – 2019
- 2019
- [j4]Jan Hlavnicka, Roman Cmejla, Jirí Klempír, Evzen Ruzicka, Jan Rusz:
Acoustic Tracking of Pitch, Modal, and Subharmonic Vibrations of Vocal Folds in Parkinson's Disease and Parkinsonism. IEEE Access 7: 150339-150354 (2019) - 2017
- [c13]Jan Hlavnicka, Tereza Tykalová, Roman Cmejla, Jirí Klempír, Evzen Ruzicka, Jan Rusz:
Dysprosody Differentiate Between Parkinson's Disease, Progressive Supranuclear Palsy, and Multiple System Atrophy. INTERSPEECH 2017: 1844-1848 - 2016
- [c12]Jirí Balach, Petr Jezdík, Radek Janca, Roman Cmejla, Pavel Krsek, Petr Marusic, Premysl Jiruska:
Circadian Dynamics of High Frequency Oscillations in Patients with Epilepsy. BIOSIGNALS 2016: 284-289 - 2015
- [c11]Michal Novotny, Jakub Pospisil, Roman Cmejla, Jan Rusz:
Automatic detection of voice onset time in dysarthric speech. ICASSP 2015: 4340-4344 - [c10]Tomas Lustyk, Petr Bergl, Tino Haderlein, Elmar Nöth, Roman Cmejla:
Language-independent method for analysis of German stuttering recordings. INTERSPEECH 2015: 2947-2951 - [c9]Jirí Balach, Petr Jezdík, Roman Cmejla, Pavel Krsek, Premysl Jiruska:
Case study of intracranial EEG records of patients with focal cortical dysplasia type I and II. IWCIM 2015: 1-4 - [c8]Tomas Havel, Jan Kudlacek, Premysl Jiruska, Petr Jezdík, Roman Cmejla:
Analysis of high-frequency activity in electroencephalogram of animal epilepsy model. IWCIM 2015: 1-5 - 2014
- [j3]Daniel Spulák, Roman Cmejla, Radka Bacáková, Bronislav Kracmar, Lenka Satrapová, Petr Novotný:
Muscle activity detection in electromyograms recorded during periodic movements. Comput. Biol. Medicine 47: 93-103 (2014) - [j2]Michal Novotny, Jan Rusz, Roman Cmejla, Evzen Ruzicka:
Automatic Evaluation of Articulatory Disorders in Parkinson's Disease. IEEE ACM Trans. Audio Speech Lang. Process. 22(9): 1366-1378 (2014) - [c7]Jirí Balach, Petr Jezdík, Roman Cmejla, Pavel Krsek, Petr Marusic, Premysl Jiruska:
Comparison of algorithms for detection of high frequency oscillations in intracranial EEG. MeMeA 2014: 466-469 - 2013
- [j1]Roman Cmejla, Jan Rusz, Petr Bergl, Jan Vokral:
Bayesian changepoint detection for the automatic assessment of fluency and articulatory disorders. Speech Commun. 55(1): 178-189 (2013) - [c6]Radek Janca, Petr Jezdík, Roman Cmejla, Pavel Krsek, John G. R. Jefferys, Petr Marusic, Premysl Jiruska:
Automatic detection and spatial clustering of interictal discharges in invasive recordings. MeMeA 2013: 219-223 - [c5]Tomas Havel, Radek Janca, Petr Jezdík, Roman Cmejla, Pavel Krsek, John G. R. Jefferys, Petr Marusic, Premysl Jiruska:
Automatic detection of high-frequency oscillations in invasive recordings. MeMeA 2013: 228-232 - 2011
- [c4]Jan Rusz, Roman Cmejla, Hana Ruzickova, Jirí Klempír, Veronika Majerova, Jana Picmausova, Jan Roth, Evzen Ruzicka:
Acoustic analysis of voice and speech characteristics in early untreated Parkinson's disease. MAVEBA 2011: 181-184
2000 – 2009
- 2004
- [c3]Roman Cmejla, Pavel Sovka:
Recursive Bayesian autoregressive changepoint detector for sequential signal segmentation. EUSIPCO 2004: 245-248 - 2001
- [c2]Roman Cmejla, Pavel Sovka:
Estimation of Boundaries between Speech Units Using Bayesian Changepoint Detectors. TSD 2001: 291-298
1990 – 1999
- 1999
- [c1]Roman Cmejla, Pavel Sovka:
The Use of Bayesian Detector in Signal Processing. SIP 1999: 76-80
Coauthor Index
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