David Sztahó

Orcid: 0000-0002-7361-4260

According to our database1, David Sztahó authored at least 35 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Vision Transformer for Parkinson's Disease Classification using Multilingual Sustained Vowel Recordings.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Effects of language mismatch in automatic forensic voice comparison using deep learning embeddings.
CoRR, 2022

Detection of Speech Related Disorders by Pre-trained Embedding Models Extracted Biomarkers.
Proceedings of the Speech and Computer - 24th International Conference, 2022

Automatic Assessment of the Degree of Clinical Depression from Speech Using X-Vectors.
Proceedings of the IEEE International Conference on Acoustics, 2022

Cross-lingual Detection of Dysphonic Speech for Dutch and Hungarian Datasets.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021
Deep Learning Methods in Speaker Recognition: A Review.
Period. Polytech. Electr. Eng. Comput. Sci., 2021

Application for Detecting Depression, Parkinson's Disease and Dysphonic Speech.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Deep Learning Solution for Pathological Voice Detection using LSTM-based Autoencoder Hybrid with Multi-Task Learning.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020
Articulation correctness measurement of Parkinson's disease using low resource-intensitve segmentation methods.
Proceedings of the 11th IEEE International Conference on Cognitive Infocommunications, 2020

2019
Parkinson's Disease Severity Estimation on Hungarian Speech Using Various Speech Tasks.
Proceedings of the 2019 International Conference on Speech Technology and Human-Computer Dialogue, 2019

Automatic discrimination of several types of speech pathologies.
Proceedings of the 2019 International Conference on Speech Technology and Human-Computer Dialogue, 2019

Depression State Assessment: Application for Detection of Depression by Speech.
Proceedings of the Interspeech 2019, 2019

Speech Fluency Measurement of Patients with Parkinson's Disease by Forward-Backward Divergence Segmentation.
Proceedings of the 10th IEEE International Conference on Cognitive Infocommunications, 2019

2018
Computer based speech prosody teaching system.
Comput. Speech Lang., 2018

Automatic Separation of Various Disease Types by Correlation Structure of Time Shifted Speech Features.
Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018

Detection Possibilities of Depression and Parkinson's disease Based on the Ratio of Transient Parts of the Speech.
Proceedings of the 9th IEEE International Conference on Cognitive Infocommunications, 2018

2017
Assessment of pathological speech prosody based on automatic stress detection and phrasing approaches.
Proceedings of the 8th IEEE International Conference on Cognitive Infocommunications, 2017

Automatic estimation of severity of Parkinson's disease based on speech rhythm related features.
Proceedings of the 8th IEEE International Conference on Cognitive Infocommunications, 2017

2016
Language Independent Detection Possibilities of Depression by Speech.
Proceedings of the Recent Advances in Nonlinear Speech Processing, 2016

Estimating the Severity of Parkinson's Disease Using Voiced Ratio and Nonlinear Parameters.
Proceedings of the Statistical Language and Speech Processing, 2016

2015
Estimating the severity of parkinson's disease from speech using linear regression and database partitioning.
Proceedings of the INTERSPEECH 2015, 2015

2014
Automatikus érzelem-felismerés akusztikai paraméterek alapján
PhD thesis, 2014

Speech activity detection and automatic prosodic processing unit segmentation for emotion recognition.
Intell. Decis. Technol., 2014

A computer-assisted prosody pronunciation teaching system.
Proceedings of the 4st Workshop on Child, Computer and Interaction, 2014

Connection between body condition and speech parameters - especially in the case of hypoxia.
Proceedings of the 5th IEEE Conference on Cognitive Infocommunications, 2014

2013
Language independent automatic speech segmentation into phoneme-like units on the base of acoustic distinctive features.
Proceedings of the IEEE 4th International Conference on Cognitive Infocommunications, 2013

2012
Recognition of Emotions on the Basis of Different Levels of Speech Segments.
J. Adv. Comput. Intell. Intell. Informatics, 2012

Examination of the sensitivity of acoustic-phonetic parameters of speech to depression.
Proceedings of the IEEE 3rd International Conference on Cognitive Infocommunications, 2012

2010
Problems of the Automatic Emotion Recognitions in Spontaneous Speech; An Example for the Recognition in a Dispatcher Center.
Proceedings of the Toward Autonomous, Adaptive, and Context-Aware Multimodal Interfaces. Theoretical and Practical Issues, 2010

Automatic Classification of Emotions in Spontaneous Speech.
Proceedings of the Analysis of Verbal and Nonverbal Communication and Enactment. The Processing Issues, 2010

2009
Automatic intonation classification for speech training systems.
Proceedings of the INTERSPEECH 2009, 2009

Subjective Tests and Automatic Sentence Modality Recognition with Recordings of Speech Impaired Children.
Proceedings of the Development of Multimodal Interfaces: Active Listening and Synchrony, 2009

2008
Automatic prosodic disorders analysis for impaired communication children.
Proceedings of the 1st Workshop on Child, Computer and Interaction, 2008

Automatic Sentence Modality Recognition in Children's Speech, and Its Usage Potential in the Speech Therapy.
Proceedings of the Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions, 2008

2007
Speech Emotion Perception by Human and Machine.
Proceedings of the Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction, 2007


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