363 citations · 767 across the 12 of their papers we have counts for
6 papers · 1 filter
Perceptual Features as Markers of Parkinson's Disease: The Issue of Clinical Interpretability
Jiri Mekyska, Zdenek Smekal, Zoltan Galaz +4
Up to 90% of patients with Parkinson's disease (PD) suffer from hypokinetic dysathria (HD) which is also manifested in the field of phonation. Clinical signs of HD like monoloudnes…
Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem Recitation
Jan Mucha, Zoltan Galaz, Jiri Mekyska +9
Up to 90 % of patients with Parkinson's disease (PD) suffer from hypokinetic dysarthria (HD). In this work, we analysed the power of conventional speech features quantifying imprec…
Robust and Complex Approach of Pathological Speech Signal Analysis
Jiri Mekyska, Eva Janousova, Pedro Gomez-Vilda +8
This paper presents a study of the approaches in the state-of-the-art in the field of pathological speech signal analysis with a special focus on parametrization techniques. It pro…
Assessing Progress of Parkinson s Disease Using Acoustic Analysis of Phonation
Jiri Mekyska, Zoltan Galaz, Zdenek Mzourek +9
This paper deals with a complex acoustic analysis of phonation in patients with Parkinson's disease (PD) with a special focus on estimation of disease progress that is described by…
Towards Robust Voice Pathology Detection
Pavol Harar, Zoltan Galaz, Jesus B. Alonso-Hernandez +3
Automatic objective non-invasive detection of pathological voice based on computerized analysis of acoustic signals can play an important role in early diagnosis, progression track…
Improving Machine Hearing on Limited Data Sets
Pavol Harar, Roswitha Bammer, Anna Breger +2
Convolutional neural network (CNN) architectures have originated and revolutionized machine learning for images. In order to take advantage of CNNs in predictive modeling with audi…