The human voice production system is an intricate biological device capable of modulating
pitch and loudness. Inherent internal and/or external factors often damage the vocal folds …

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 …

Parkinsons disease (PD) is the second most prevalent neurodegenerative disorder after
Alzheimer's, affecting about 1% of the people older than 65 and about 89% of the people …

Parkinson's disease (PD) is a progressive neurological disorder prevalent in old age. Past
studies have shown that speech can be used as an early marker for identification of PD. It …

Vocal performance degradation is a common symptom for the vast majority of Parkinson's
disease (PD) subjects, who typically follow personalized one-to-one periodic rehabilitation …

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

This paper evaluates the accuracy of different characterization methods for the automatic
detection of multiple speech disorders. The speech impairments considered include …

Background and objective: Developing speech signal-based non-invasive diagnosis
techniques is an emerging research field in biomedical signal processing. Detecting 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 …