LPC and CCF vocal tract models in speech synthesis. - Robert Vích; Zdenek Smékal (EUSIPCO, 1998)

New Method of Composite FIR and IIR Filtering for Cepstral Speech Synthesis. - Zdenek Smékal; Robert Vích (Applied Informatics, 1999)

Optimized models of IIR digital filters for fixed-point digital signal processor. - Zdenek Smékal; Robert Vích (ICECS, 1999)

Cepstral Vocal Tract Modelling for Fixed- Point Digital Signal Processor Implementation. - Zdenek Smékal; Robert Vích (KONVENS, 2000)

Automatic Adjustment of Time-Variant Thresholds When Filtering Signals in MR Tomography. - Eva Gescheidtova; Radek Kubasek; Zdenek Smékal; Karel Bartusek (ICN (2), 2005)

Measuring the Diffusion of Nuclei in Biological Systems by Magnetic Resonance Methods: Checking the Quality of Gradient Magnetic Fields. - Karel Bartusek; Eva Gescheidtova; Zdenek Smékal (ICN/ICONS/MCL, 2006)

Design of Two-channel Half-band Bank of Digital Filters using Optimization Methods. - Radek Kubasek; Zdenek Smékal; Eva Gescheidtova; Karel Bartusek (ICN/ICONS/MCL, 2006)

The Significance of Empty Speech Pauses: Cognitive and Algorithmic Issues. - Anna Esposito; Vojtech Stejskal; Zdenek Smékal; Nikolaos G. Bourbakis (BVAI, 2007)

Combining Features for Recognizing Emotional Facial Expressions in Static Images. - Jiri Prinosil; Zdenek Smékal; Anna Esposito (COST 2102 Workshop (Patras), 2007)

Single-Channel Noise Suppression by Wavelets in Spectral Domain. - Zdenek Smékal; Petr Sysel (COST 2102 Workshop (Vietri), 2007)

Shortening the Switching Times of Gradients for MR Tomography and Spectroscopy. - Eva Gescheidtova; Radek Kubasek; Karel Bartusek; Zdenek Smékal (ICN, 2007)

Enhanced estimation of power spectral density of noise using the wavelet transform. - Petr Sysel; Zdenek Smékal (PWC, 2007)

Underdetermined Blind Source Separation Using Linear Separation System. - Jan Cermak; Zdenek Smékal (COST 2102 School (Vietri), 2008)

Spectral Characteristics of Nonlinear Systems Approximated by Piecewise Linear Function. - Jiri Schimmel; Ivan Koula; Jiri Misurec; Zdenek Smékal (ICN, 2008)

Analysis of MR Images Deformed by Magnetic Implants. - Karel Bartusek; Zdenek Smékal; Eva Gescheidtova (ICONS, 2008)

Cognitive Role of Speech Pauses and Algorithmic Considerations for their Processing. - Anna Esposito; Vojtech Stejskal; Zdenek Smékal (Int. J. Pattern Recognit. Artif. Intell., 2008)

Emotional Vocal Expressions Recognition Using the COST 2102 Italian Database of Emotional Speech. - Hicham Atassi; Maria Teresa Riviello; Zdenek Smékal; Amir Hussain 001; Anna Esposito (COST 2102 Training School, 2009)

Data processing in studying the temporomandibular joint, using MR imaging and sonographic techniques. - Ondrej Liberda; Karel Bartusek; Zdenek Smékal; Jan Mikulka (DPS, 2009)

Score Fusion in Text-Dependent Speaker Recognition Systems. - Jirí Mekyska; Marcos Faúndez-Zanuy; Zdenek Smékal; Joan Fabregas (COST 2102 Conference, 2010)

Analysis of high-level features for vocal emotion recognition. - Hicham Atassi; Anna Esposito; Zdenek Smékal (TSP, 2011)

Selection of optimal parameters for automatic analysis of speech disorders in Parkinson's disease. - Jirí Mekyska; Irena Rektorová; Zdenek Smékal (TSP, 2011)

Creating a 3D model of the temporomandibular joint disc on the basis of segmented MRI slices. - Ondrej Smirg; Ondrej Liberda; Andrea Sprlakova; Zdenek Smékal (TSP, 2011)

Wavelet-based de-noising techniques in MRI. - Karel Bartusek; Jiri Prinosil; Zdenek Smékal (Comput. Methods Programs Biomed., 2011)

Emotion recognition from spontaneous Slavic speech. - Hicham Atassi; Zdenek Smékal; Anna Esposito (CogInfoCom, 2012)

Interest points as a focus measure. - Jirí Mekyska; Martin Zukal; Petr Cika; Zdenek Smékal (TSP, 2012)

Real-time detection of human body in videos. - Ondrej Smirg; Zdenek Smékal (TSP, 2012)

A new modality for quantitative evaluation of Parkinson's disease: In-air movement. - Peter Drotár; Jirí Mekyska; Irena Rektorová; Lucia Masarová; Zdenek Smékal; Marcos Faúndez-Zanuy (BIBE, 2013)

Automatic detection of the direction and speed of moving objects in the video. - Ondrej Smirg; Zdenek Smékal; Malay Kishore Dutta; Bhavin Kakani (IC3, 2013)

Automated detection of important facial curves in radiographs. - Ondrej Smirg; Ondrej Liberda; Zdenek Smékal (TSP, 2013)

Biometric Applications Related to Human Beings: There Is Life beyond Security. - Marcos Faúndez-Zanuy; Amir Hussain 001; Jirí Mekyska; Enric Sesa-Nogueras; Enric Monte-Moreno; Anna Esposito; Mohamed Chetouani; Josep Garre-Olmo; Andrew Abel; Zdenek Smékal; Karmele López de Ipiña (Cogn. Comput., 2013)

Automatic identification of successful phone calls in call centers based on dialogue analysis. - Hicham Atassi; Zdenek Smékal (CogInfoCom, 2014)

Analysis of in-air movement in handwriting: A novel marker for Parkinson's disease. - Peter Drotár; Jirí Mekyska; Irena Rektorová; Lucia Masarová; Zdenek Smékal; Marcos Faúndez-Zanuy (Comput. Methods Programs Biomed., 2014)

Assessing progress of Parkinson's disease using acoustic analysis of phonation. - Jirí Mekyska; Zoltan Galaz; Zdenek Mzourek; Zdenek Smékal; Irena Rektorová; Ilona Eliasova; Milena Kostalova; Martina Mrackova; Dagmar Berankova; Marcos Faúndez-Zanuy; Karmele López de Ipiña; Jesús Bernardino Alonso Hernández (IWOBI, 2015)

Contribution of different handwriting modalities to differential diagnosis of Parkinson's Disease. - Peter Drotár; Jirí Mekyska; Zdenek Smékal; Irena Rektorová; Lucia Masarová; Marcos Faúndez-Zanuy (MeMeA, 2015)

Segmentation and creating 3D model of temporomandibular condyle. - Ondrej Smirg; Ondrej Liberda; Zdenek Smékal (TSP, 2015)

An experimental comparison of feature selection methods on two-class biomedical datasets. - Peter Drotár; Juraj Gazda; Zdenek Smékal (Comput. Biol. Medicine, 2015)

Robust and complex approach of pathological speech signal analysis. - Jirí Mekyska; Eva Janousová; Pedro Gómez-Vilda; Zdenek Smékal; Irena Rektorová; Ilona Eliasova; Milena Kostalova; Martina Mrackova; Jesús Bernardino Alonso Hernández; Marcos Faúndez-Zanuy; Karmele López de Ipiña (Neurocomputing, 2015)

Degree of Parkinson's disease severity estimation based on speech signal processing. - Zoltan Galaz; Zdenek Mzourek; Jirí Mekyska; Zdenek Smékal; Tomas Kiska; Irena Rektorová; Juan Rafael Orozco-Arroyave; Khalid Daoudi (TSP, 2016)

Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease. - Peter Drotár; Jirí Mekyska; Irena Rektorová; Lucia Masarová; Zdenek Smékal; Marcos Faúndez-Zanuy (Artif. Intell. Medicine, 2016)

Prosodic analysis of neutral, stress-modified and rhymed speech in patients with Parkinson's disease. - Zoltan Galaz; Jirí Mekyska; Zdenek Mzourek; Zdenek Smékal; Irena Rektorová; Ilona Eliasova; Milena Kostalova; Martina Mrackova; Dagmar Berankova (Comput. Methods Programs Biomed., 2016)

Perceptual Features as Markers of Parkinson's Disease: The Issue of Clinical Interpretability. - Jirí Mekyska; Zdenek Smékal; Zoltan Galaz; Zdenek Mzourek; Irena Rektorová; Marcos Faúndez-Zanuy; Karmele López de Ipiña (Recent Advances in Nonlinear Speech Processing, 2016)

Vowel Articulation Distortion in Parkinson's Disease. - Pedro Gómez-Vilda; José Manuel Ferrández-Vicente; Daniel Palacios-Alonso; Andrés Gómez-Rodellar; María Victoria Rodellar Biarge; Jirí Mekyska; Zdenek Smékal; Irena Rektorová; Ilona Eliasova; Milena Kostalova (IWINAC (2), 2017)

Voice Pathology Detection Using Deep Learning: a Preliminary Study. - Pavol Harár; Jesús Bernardino Alonso Hernández; Jirí Mekyska; Zoltan Galaz; Radim Burget; Zdenek Smékal (IWOBI, 2017)

Assessing freezing of gait in parkinson's disease using analysis of hypokinetic dysarthria. - Zoltan Galaz; Jirí Mekyska; Tomas Kiska; Vojtech Zvoncak; Jan Mucha; Zdenek Smékal; Ilona Eliasova; Martina Mrackova; Milena Kostalova; Irena Rektorová; Marcos Faúndez-Zanuy (TSP, 2017)

Identification of hypokinetic dysarthria using acoustic analysis of poem recitation. - Jan Mucha; Zoltan Galaz; Jirí Mekyska; Tomas Kiska; Vojtech Zvoncak; Zdenek Smékal; Ilona Eliasova; Martina Mrackova; Milena Kostalova; Irena Rektorová; Marcos Faúndez-Zanuy; Jesús Bernardino Alonso Hernández (TSP, 2017)

Parkinson Disease Detection from Speech Articulation Neuromechanics. - Pedro Gómez-Vilda; Jirí Mekyska; José M. Ferrández; Daniel Palacios-Alonso; Andrés Gómez-Rodellar; María Victoria Rodellar Biarge; Zoltan Galaz; Zdenek Smékal; Ilona Eliasova; Milena Kostalova; Irena Rektorová (Frontiers Neuroinformatics, 2017)

Identification and Rating of Developmental Dysgraphia by Handwriting Analysis. - Jirí Mekyska; Marcos Faúndez-Zanuy; Zdenek Mzourek; Zoltan Galaz; Zdenek Smékal; Sara Rosenblum (IEEE Trans. Hum. Mach. Syst., 2017)

Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation. - Tomas Kiska; Zoltan Galaz; Vojtech Zvoncak; Jan Mucha; Jirí Mekyska; Zdenek Smékal (ICUMT, 2018)

Advanced Parkinson's Disease Dysgraphia Analysis Based on Fractional Derivatives of Online Handwriting. - Jan Mucha; Jirí Mekyska; Marcos Faúndez-Zanuy; Karmele López de Ipiña; Vojtech Zvoncak; Zoltan Galaz; Tomas Kiska; Zdenek Smékal; Lubos Brabenec; Irena Rektorová (ICUMT, 2018)

Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia. - Vojtech Zvoncak; Jirí Mekyska; Katarina Safarova; Zoltan Galaz; Jan Mucha; Tomas Kiska; Zdenek Smékal; Barbora Losenicka; Barbora Cechova; Pavlina Francova; Marcos Faúndez-Zanuy; Sara Rosenblum (ICUMT, 2018)

Monitoring Progress of Parkinson's Disease Based on Changes in Phonation: a Pilot Study. - Zoltan Galaz; Jirí Mekyska; Tomas Kiska; Vojtech Zvoncak; Jan Mucha; Pavol Harár; Zdenek Smékal; Ilona Eliasova; Martina Mrackova; Milena Kostalova; Irena Rektorová; Marcos Faúndez-Zanuy; et al. (TSP, 2018)

Fractional Derivatives of Online Handwriting: A New Approach of Parkinsonic Dysgraphia Analysis. - Jan Mucha; Vojtech Zvoncak; Zoltan Galaz; Marcos Faúndez-Zanuy; Jirí Mekyska; Tomas Kiska; Zdenek Smékal; Lubos Brabenec; Irena Rektorová; Karmele López de Ipiña (TSP, 2018)

Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson's Disease. - Jirí Mekyska; Zoltan Galaz; Tomas Kiska; Vojtech Zvoncak; Jan Mucha; Zdenek Smékal; Ilona Eliasova; Milena Kostalova; Martina Mrackova; Dagmar Fiedorova; Marcos Faúndez-Zanuy; Jordi Solé-Casals; et al. (Cogn. Comput., 2018)

Analysis of Parkinson's Disease Dysgraphia Based on Optimized Fractional Order Derivative Features. - Jan Mucha; Karmele López de Ipiña; Marcos Faúndez-Zanuy; Jirí Mekyska; Vojtech Zvoncak; Zoltan Galaz; Tomas Kiska; Zdenek Smékal; Lubos Brabenec; Irena Rektorová (EUSIPCO, 2019)

Improving Machine Hearing on Limited Data Sets. - Pavol Harár; Roswitha Bammer; Anna Breger; Monika Dörfler; Zdenek Smékal (ICUMT, 2019)

Computerised Assessment of Graphomotor Difficulties in a Cohort of School-aged Children. - Jirí Mekyska; Jirina Bednarova; Marcos Faúndez-Zanuy; Zoltan Galaz; Katarina Safarova; Vojtech Zvoncak; Jan Mucha; Zdenek Smékal; Anezka Ondrackova; Tomás Urbánek; Jana Marie Havigerova (ICUMT, 2019)

Fractional Order Derivatives Evaluation in Computerized Assessment of Handwriting Difficulties in School-aged Children. - Vojtech Zvoncak; Jan Mucha; Zoltan Galaz; Jirí Mekyska; Katarina Safarova; Marcos Faúndez-Zanuy; Zdenek Smékal (ICUMT, 2019)

New Approach of Dysgraphic Handwriting Analysis Based on the Tunable Q-Factor Wavelet Transform. - Vojtech Zvoncak; Jirí Mekyska; Katarina Safarova; Zdenek Smékal; Peter Brezany (MIPRO, 2019)

Enhancement of Beat Tracking in String Quartet Music Analysis Based on the Teager-Kaiser Energy Operator. - Jirí Mekyska; Matej Istvanek; Lubomir Spurny; Zdenek Smékal (TSP, 2019)

Machines listening to music: the role of signal representations in learning from music. - Roswitha Bammer; Anna Breger; Monika Dörfler; Pavol Harár; Zdenek Smékal (CoRR, 2019)

Vowel Articulation Dynamic Stability Related to Parkinson's Disease Rating Features: Male Dataset. - Pedro Gómez-Vilda; Zoltan Galaz; Jirí Mekyska; José Manuel Ferrández de Vicente; Andrés Gómez-Rodellar; Daniel Palacios-Alonso; Zdenek Smékal; Ilona Eliasova; Milena Kostalova; Irena Rektorová (Int. J. Neural Syst., 2019)

Advanced Parametrization of Graphomotor Difficulties in School-Aged Children. - Zoltan Galaz; Jan Mucha; Vojtech Zvoncak; Jirí Mekyska; Zdenek Smékal; Katarina Safarova; Anezka Ondrackova; Tomás Urbánek; Jana Marie Havigerova; Jirina Bednarova; Marcos Faúndez-Zanuy (IEEE Access, 2020)

Analysis of Various Fractional Order Derivatives Approaches in Assessment of Graphomotor Difficulties. - Jan Mucha; Jirí Mekyska; Zoltan Galaz; Marcos Faúndez-Zanuy; Vojtech Zvoncak; Katarina Safarova; Tomás Urbánek; Jana Marie Havigerova; Jirina Bednarova; Zdenek Smékal (IEEE Access, 2020)

Alzheimer's disease and automatic speech analysis: A review. - María Luisa Barragán Pulido; Jesús Bernardino Alonso Hernández; Miguel Angel Ferrer-Ballester; Carlos Manuel Travieso-González; Jirí Mekyska; Zdenek Smékal (Expert Syst. Appl., 2020)

Towards robust voice pathology detection. - Pavol Harár; Zoltan Galaz; Jesús Bernardino Alonso Hernández; Jirí Mekyska; Radim Burget; Zdenek Smékal (Neural Comput. Appl., 2020)

Correction to: Towards robust voice pathology detection. - Pavol Harár; Zoltan Galaz; Jesús Bernardino Alonso Hernández; Jirí Mekyska; Radim Burget; Zdenek Smékal (Neural Comput. Appl., 2020)

Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties. - Zoltan Galaz; Jirí Mekyska; Jan Mucha; Vojtech Zvoncak; Zdenek Smékal; Marcos Faúndez-Zanuy; Lubos Brabenec; Ivona Moravkova; Irena Rektorová (IGS, 2022)

Exploration of Various Fractional Order Derivatives in Parkinson's Disease Dysgraphia Analysis. - Jan Mucha; Zoltan Galaz; Jirí Mekyska; Marcos Faúndez-Zanuy; Vojtech Zvoncak; Zdenek Smékal; Lubos Brabenec; Irena Rektorová (IGS, 2022)

Perceptual Features as Markers of Parkinson's Disease: The Issue of Clinical Interpretability. - Jirí Mekyska; Zdenek Smékal; Zoltan Galaz; Zdenek Mzourek; Irena Rektorová; Marcos Faúndez-Zanuy; Karmele López de Ipiña (CoRR, 2022)

Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset. - Zoltan Galaz; Peter Drotár; Jirí Mekyska; Matej Gazda; Jan Mucha; Vojtech Zvoncak; Zdenek Smékal; Marcos Faúndez-Zanuy; Reinel Castrillon; Juan Rafael Orozco-Arroyave; Steven Z. Rapcsak; Tamas Kincses; et al. (Frontiers Neuroinformatics, 2022)

Applications and Innovations on Sensor-Enabled Wearable Devices. - Joaquín Torres-Sospedra; Elena Simona Lohan; Antonella Molinaro; Adriano J. C. Moreira; Alexandru Rusu-Casandra; Zdenek Smékal (Sensors, 2022)

Assessment of Developmental Dysgraphia Utilising a Display Tablet. - Jirí Mekyska; Zoltan Galaz; Katarina Safarova; Vojtech Zvoncak; Lukas Cunek; Tomás Urbánek; Jana Marie Havigerova; Jirina Bednarova; Jan Mucha; Michal Gavenciak; Zdenek Smékal; Marcos Faúndez-Zanuy (IGS, 2023)

Application of Computational Methods for Comparative Music Analysis. - Matej Istvanek; Stepán Miklánek; Klára Hedvika Mühlová; Lubomir Spurny; Zdenek Smékal (IS2, 2023)