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 …

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 …

The aim of this study is the analysis of continuous speech signals of people with Parkinson's
disease (PD) considering recordings in different languages (Spanish, German, and Czech) …

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

Speech signals may contain different paralinguistic aspects such as the presence of
pathologies that affect the proper communication capabilities of a speaker. Those speech …

The analysis of speech of people with Parkinson's disease is an interesting and highly
relevant topic that has attracted the research community during several years. The advances …

Hypernasality is seen in cleft lip and palate patients who had undergone repair surgery as a
consequence of velopharyngeal insufficiency. Hypernasality has been studied by evaluation …

About 1% of people older than 65 years suffer from Parkinson's disease (PD) and 90% of
them develop several speech impairments, affecting phonation, articulation, prosody and …

This work describes a novel methodology to characterize voice diseases by using nonlinear
dynamics, considering different complexity measures that are mainly based on the analysis …

Introduction: This systematic review examines the use of machine learning (ML) algorithms
to detect hypernasal speech in patients with cleft palate (CP), which can persist after primary …