This is the first of a two-part series devoted to review the current state of the art of automatic
voice condition analysis systems. The goal of this paper is to provide to the scientific …

Objectives Computerized detection of voice disorders has attracted considerable academic
and clinical interest in the hope of providing an effective screening method for voice …

Background When investigating voice disorders a series of processes are used when
including voice screening and diagnosis. Both methods have limited standardized tests …

Automatic detection of voice pathology enables objective assessment and earlier
intervention for the diagnosis. This study provides a systematic analysis of glottal source …

Automatic methods for the detection of pathological voice from healthy speech can be
considered as potential clinical tools for medical treatment. This study investigates the …

Automatic voice pathology detection is a research topic, which has gained increasing
interest recently. Although methods based on deep learning are becoming popular, the …

This paper presents a study of the approaches in the state-of-the-art in the field of
pathological speech signal analysis with a special focus on parametrization techniques. It …

Automatic objective non-invasive detection of pathological voice based on computerized
analysis of acoustic signals can play an important role in early diagnosis, progression …

To distinguish pathological voices from healthy voices, automatic voice pathology detection
systems can be built using machine learning (ML) and deep learning (DL) techniques. To …

The paper presents a set of experiments on pathological voice detection over the
Saarbrücken Voice Database (SVD) by using the MultiFocal toolkit for a discriminative …