In the last decade, the implementation of machine learning algorithms in the analysis of
voice disorder is paramount in order to provide a non-invasive voice pathology detection by …

The utilisation of ML (Machine Learning) techniques in the detection of the VP (Voice
Pathology) has recently gained a lot of consideration. However, these efforts still have …

The application of machine learning in analyzing voice disorders has become crucial for non-
invasive voice pathology detection using voice signals. However, current systems face …

The Consensus Auditory-Perceptual Evaluation of Voice is a widely employed tool in clinical
voice quality assessment that is significant for streaming communication among clinical …

Chance corrected agreement coefficients such as the Cohen and Fleiss Kappas are
commonly used for the measurement of consistency in the decisions made by clinical …

Nowadays, the use of machine learning in analyzing voice disorders has become crucial for
providing non-invasive detection of voice pathologies using only voice signals. However …

Diabetes Mellitus (DM) kronik hiperglisemi ile karakterize metabolik bir hastalıktır. Kronik
hiperglisemi uzun vadede çeşitli vücut sistemlerinde disfonksiyonlara sebep olmaktadır. Bu …

Measurement of consistency in the decisions made by observers or raters is an important
problem in clinical medicine. Chance corrected agreement coefficients such as the Cohen …

Tässä Pro gradu-tutkielmassa tutkittiin akustisen analyysin avulla äänen perustaajuudessa,
voimakkuudessa, perustaajuuden ja amplitudin vaihtelussa sekä hälyssä ikääntymisen …

In the last decade, the implementation of machine learning algorithms in the analysis of
voice disorder is paramount in order to provide a non-invasive voice pathology detection by …