Automatic classification possibilities of the voices of children with dysphonia
MG Tulics, K Vicsi - Infocommunications journal, 2018 - real.mtak.hu
Dysphonia is a common complaint, almost every fourth child produces a pathological voice.
A mobile based filtering system, that can be used by pre-school workers in order to …
A mobile based filtering system, that can be used by pre-school workers in order to …
Statistical analysis of acoustical parameters in the voice of children with juvenile dysphonia
MG Tulics, F Kazinczi, K Vicsi - … 2016, Budapest, Hungary, August 23-27 …, 2016 - Springer
The goal of this research is to answer the question: is it necessary to build a completely
different system in order to automatically recognize functional dysphonia (FD) in children's …
different system in order to automatically recognize functional dysphonia (FD) in children's …
AUTOMATIC IDENTIFICATION OF DYSPHONIAS USING MACHINE LEARNING ALGORITHMS
MAB RIVERA, CAR GARCÍA, TCT ROJAS… - Applied Computer …, 2023 - ph.pollub.pl
Dysphonia is a prevalent symptom of some respiratory diseases that affects voice quality,
even for prolonged periods. For its diagnosis, speech-language pathologists make use of …
even for prolonged periods. For its diagnosis, speech-language pathologists make use of …
Possibilities for the automatic classification of functional and organic dysphonia
MG Tulics, LJ Lavati, K Mészáros… - … Conference on Speech …, 2019 - ieeexplore.ieee.org
It is an interesting question whether it is possible to separate functional (FD) from organic
dysphonia (OD). The present study has investigated this possibility by the use of two …
dysphonia (OD). The present study has investigated this possibility by the use of two …
Machine learning approach to dysphonia detection
Z Dankovičová, D Sovák, P Drotár, L Vokorokos - Applied Sciences, 2018 - mdpi.com
This paper addresses the processing of speech data and their utilization in a decision
support system. The main aim of this work is to utilize machine learning methods to …
support system. The main aim of this work is to utilize machine learning methods to …
A methodology for voice classification based on the personalized fundamental frequency estimation
Nowadays, the incidence of voice disorders is increasing rapidly, with about a third of the
population suffering from dysphonia at some point in their lives. Dysphonia is a disorder that …
population suffering from dysphonia at some point in their lives. Dysphonia is a disorder that …
Classification of Healthy and Pathological Voices Using Artificial Neural Networks
R İleri, F Latifoğlu, A Güven - 2019 Medical Technologies …, 2019 - ieeexplore.ieee.org
Speech is the basis of communication between people. In daily life, function loss occurs in
mechanisms that create voice due to reasons such as occupation, environment, age and …
mechanisms that create voice due to reasons such as occupation, environment, age and …
Classification of voice disorder in children with cochlear implantation and hearing aid using multiple classifier fusion
Z Mahmoudi, S Rahati, MM Ghasemi… - Biomedical engineering …, 2011 - Springer
Background Speech production and speech phonetic features gradually improve in children
by obtaining audio feedback after cochlear implantation or using hearing aids. The aim of …
by obtaining audio feedback after cochlear implantation or using hearing aids. The aim of …
Comparative analysis of acoustic voice-quality parameters
DV Borovikova, VK Makukha - 2015 16th International …, 2015 - ieeexplore.ieee.org
The comparative analysis of different acoustic methods is proposed to identify the most
appropriate parameters for children's voice disorders estimation. For the analysis several …
appropriate parameters for children's voice disorders estimation. For the analysis several …
Signal Typing and Acoustic Analysis of Voice in School-Aged Indian Children
R Deborah, K Samayan - Journal of Voice, 2024 - Elsevier
Objectives The current study aimed to classify voice signals using narrowband spectrograms
and investigate acoustic measures in samples classified as type 1 and rated normal based …
and investigate acoustic measures in samples classified as type 1 and rated normal based …
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