The Use of Bayesian Detector in Signal Processing. - Roman Cmejla; Pavel Sovka (SIP, 1999)

Estimation of Boundaries between Speech Units Using Bayesian Changepoint Detectors. - Roman Cmejla; Pavel Sovka (TSD, 2001)

Recursive Bayesian autoregressive changepoint detector for sequential signal segmentation. - Roman Cmejla; Pavel Sovka (EUSIPCO, 2004)

Acoustic analysis of voice and speech characteristics in early untreated Parkinson's disease. - Jan Rusz; Roman Cmejla; Hana Ruzickova; Jirí Klempír; Veronika Majerova; Jana Picmausova; Jan Roth; Evzen Ruzicka (MAVEBA, 2011)

Automatic detection of high-frequency oscillations in invasive recordings. - Tomas Havel; Radek Janca; Petr Jezdík; Roman Cmejla; Pavel Krsek; John G. R. Jefferys; Petr Marusic; Premysl Jiruska (MeMeA, 2013)

Automatic detection and spatial clustering of interictal discharges in invasive recordings. - Radek Janca; Petr Jezdík; Roman Cmejla; Pavel Krsek; John G. R. Jefferys; Petr Marusic; Premysl Jiruska (MeMeA, 2013)

Bayesian changepoint detection for the automatic assessment of fluency and articulatory disorders. - Roman Cmejla; Jan Rusz; Petr Bergl; Jan Vokral (Speech Commun., 2013)

Comparison of algorithms for detection of high frequency oscillations in intracranial EEG. - Jirí Balach; Petr Jezdík; Roman Cmejla; Pavel Krsek; Petr Marusic; Premysl Jiruska (MeMeA, 2014)

Muscle activity detection in electromyograms recorded during periodic movements. - Daniel Spulák; Roman Cmejla; Radka Bacáková; Bronislav Kracmar; Lenka Satrapová; Petr Novotný 003 (Comput. Biol. Medicine, 2014)

Automatic Evaluation of Articulatory Disorders in Parkinson's Disease. - Michal Novotny; Jan Rusz; Roman Cmejla; Evzen Ruzicka (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Automatic detection of voice onset time in dysarthric speech. - Michal Novotny; Jakub Pospisil; Roman Cmejla; Jan Rusz (ICASSP, 2015)

Language-independent method for analysis of German stuttering recordings. - Tomas Lustyk; Petr Bergl; Tino Haderlein; Elmar Nöth; Roman Cmejla (INTERSPEECH, 2015)

Case study of intracranial EEG records of patients with focal cortical dysplasia type I and II. - Jirí Balach; Petr Jezdík; Roman Cmejla; Pavel Krsek; Premysl Jiruska (IWCIM, 2015)

Analysis of high-frequency activity in electroencephalogram of animal epilepsy model. - Tomas Havel; Jan Kudlacek; Premysl Jiruska; Petr Jezdík; Roman Cmejla (IWCIM, 2015)

Circadian Dynamics of High Frequency Oscillations in Patients with Epilepsy. - Jirí Balach; Petr Jezdík; Radek Janca; Roman Cmejla; Pavel Krsek; Petr Marusic; Premysl Jiruska (BIOSIGNALS, 2016)

Dysprosody Differentiate Between Parkinson's Disease, Progressive Supranuclear Palsy, and Multiple System Atrophy. - Jan Hlavnicka; Tereza Tykalová; Roman Cmejla; Jirí Klempír; Evzen Ruzicka; Jan Rusz (INTERSPEECH, 2017)

Early biomarkers of Parkinson's disease based on natural connected speech. - Jan Hlavnicka; Roman Cmejla; Tereza Tykalová; Karel Sonka; Evzen Ruzicka; Jan Rusz (UCI Machine Learning Repository, 2017)

Early biomarkers of Parkinson's disease based on natural connected speech Data Set. - Jan Hlavnicka; Roman Cmejla; Tereza Tykalová; Karel Sonka; Evzen Ruzicka; Jan Rusz (UCI Machine Learning Repository, 2018)

Acoustic Tracking of Pitch, Modal, and Subharmonic Vibrations of Vocal Folds in Parkinson's Disease and Parkinsonism. - Jan Hlavnicka; Roman Cmejla; Jirí Klempír; Evzen Ruzicka; Jan Rusz (IEEE Access, 2019)

Modeling Dysphonia Severity as a Function of Roughness and Breathiness Ratings in the GRBAS Scale. - Carlos A. Ferrer; Efren Aragón; María E. Hdez-Díaz; Marc S. De Bodt; Roman Cmejla; Marina Englert; Mara Behlau; Elmar Nöth (Interspeech, 2021)

Automated prediction of children's age from voice acoustics. - Michal Novotny; Roman Cmejla; Tereza Tykalová (Biomed. Signal Process. Control., 2023)

The automated screening of speech motor development in children based on the sequential motion rate. - Roman Cmejla; Michal Novotny; Jan Rusz; Tereza Tykalová; Jan Vimr; Jan Hlavnicka (Comput. Biol. Medicine, 2023)