Jan Rusz
Orcid: 0000-0002-1036-3054
According to our database1,
Jan Rusz
authored at least 34 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2012
2014
2016
2018
2020
2022
2024
0
1
2
3
4
5
6
7
8
9
1
1
2
1
2
2
1
1
1
1
7
1
2
2
2
1
2
1
3
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Automatic speech-based assessment to discriminate Parkinson's disease from essential tremor with a cross-language approach.
npj Digit. Medicine, 2024
2023
The automated screening of speech motor development in children based on the sequential motion rate.
Comput. Biol. Medicine, August, 2023
Language Generalization Using Active Learning in the Context of Parkinson's Disease Classification.
Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 2023
Relationship between LTAS-based spectral moments and acoustic parameters of hypokinetic dysarthria in Parkinson's disease.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Comparison of acoustic measures of dysphonia in Parkinson's disease and Huntington's disease: Effect of sex and speaking task.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Automatic Classification of Hypokinetic and Hyperkinetic Dysarthria based on GMM-Supervectors.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Glottal source analysis of voice deficits in basal ganglia dysfunction: evidence from de novo Parkinson's disease and Huntington's disease.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Which aspects of motor speech disorder are captured by Mel Frequency Cepstral Coefficients? Evidence from the change in STN-DBS conditions in Parkinson's disease.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Federated Learning for Secure Development of AI Models for Parkinson's Disease Detection Using Speech from Different Languages.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
2022
Automated video-based assessment of facial bradykinesia in de-novo Parkinson's disease.
npj Digit. Medicine, 2022
Assessing clinical utility of machine learning and artificial intelligence approaches to analyze speech recordings in multiple sclerosis: A pilot study.
Comput. Biol. Medicine, 2022
2021
Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages.
Pattern Recognit. Lett., 2021
2020
Glottal Source Analysis of Voice Deficits in Newly Diagnosed Drug-naïve Patients with Parkinson's Disease: Correlation Between Acoustic Speech Characteristics and Non-Speech Motor Performance.
Biomed. Signal Process. Control., 2020
Validation of freely-available pitch detection algorithms across various noise levels in assessing speech captured by smartphone in Parkinson's disease.
Biomed. Signal Process. Control., 2020
Dependency Analysis of Spoken Language for Assessment of Neurological Disorders.
Proceedings of the 3rd RaPID Workshop: Resources and Processing of Linguistic, 2020
2019
A forced gaussians based methodology for the differential evaluation of Parkinson's Disease by means of speech processing.
Biomed. Signal Process. Control., 2019
Acoustic Tracking of Pitch, Modal, and Subharmonic Vibrations of Vocal Folds in Parkinson's Disease and Parkinsonism.
IEEE Access, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019
2018
Linear Classification in Speech-Based Objective Differential Diagnosis of Parkinsonism.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Study of the Automatic Detection of Parkison's Disease Based on Speaker Recognition Technologies and Allophonic Distillation.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017
Dysprosody Differentiate Between Parkinson's Disease, Progressive Supranuclear Palsy, and Multiple System Atrophy.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017
2016
Towards an automatic monitoring of the neurological state of Parkinson's patients from speech.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Characterization Methods for the Detection of Multiple Voice Disorders: Neurological, Functional, and Laryngeal Diseases.
IEEE J. Biomed. Health Informatics, 2015
Voiced/unvoiced transitions in speech as a potential bio-marker to detect parkinson's disease.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
2014
IEEE ACM Trans. Audio Speech Lang. Process., 2014
Automatic detection of parkinson's disease from words uttered in three different languages.
Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014
2013
Bayesian changepoint detection for the automatic assessment of fluency and articulatory disorders.
Speech Commun., 2013
2011
The Atlas of Physiology and Pathophysiology: Web-based multimedia enabled interactive simulations.
Comput. Methods Programs Biomed., 2011
Special session: acoustic analysis of Parkinsonian speech: issues, methods, and applications.
Proceedings of the 7th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2011
Acoustic analysis of voice and speech characteristics in early untreated Parkinson's disease.
Proceedings of the 7th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2011
Detection of persons with Parkinson's disease by acoustic, vocal, and prosodic analysis.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011