In the healthcare domain, the essential task is to understand and classify diseases affecting
the vocal folds (VFs). The accurate identification of VF disease is the key issue in this …

Voice disability is a barrier to effective communication. Around 1.2% of the World's
population is facing some form of voice disability. Surgical procedures namely laryngoscopy …

Smart health is one of the most popular and important components of smart cities. It is a
relatively new context-aware healthcare paradigm influenced by several fields of expertise …

Background The voice is a prominent tool allowing people to communicate and to change
information in their daily activities. However, any slight alteration in the voice production …

The aim of this study was to evaluate the usefulness of different methods of speech signal
analysis in the detection of voice pathologies. Firstly, an initial vector was created consisting …

The identification and classification of pathological voice are still a challenging area of
research in speech processing. Acoustic features of speech are used mainly to discriminate …

Voices have been widely used for disease detection in the literature but these methods are
non-invasive. In this article a 1D local binary pattern (LBP) based feature extraction network …

Determining and classifying pathological human sounds are still an interesting area of
research in the field of speech processing. This paper explores different methods of voice …

The analysis of pathological voice is a challenging and an important area of research in
speech processing. Acoustic voice analysis can be used to characterize the pathological …

There are a lot of papers on automatic classification between normal and pathological
voices, but they have the lack in the degree of severity estimation of the identified voice …