A survey on machine learning approaches for automatic detection of voice disorders
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 …
pitch and loudness. Inherent internal and/or external factors often damage the vocal folds …
On the design of automatic voice condition analysis systems. Part I: Review of concepts and an insight to the state of the art
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 …
voice condition analysis systems. The goal of this paper is to provide to the scientific …
Detection of pathological voice using cepstrum vectors: A deep learning approach
Objectives Computerized detection of voice disorders has attracted considerable academic
and clinical interest in the hope of providing an effective screening method for voice …
and clinical interest in the hope of providing an effective screening method for voice …
[PDF][PDF] New Spanish speech corpus database for the analysis of people suffering from Parkinson's disease.
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 …
Alzheimer's, affecting about 1% of the people older than 65 and about 89% of the people …
Parkinson disease prediction using intrinsic mode function based features from speech signal
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 …
studies have shown that speech can be used as an early marker for identification of PD. It …
Objective automatic assessment of rehabilitative speech treatment in Parkinson's disease
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 …
disease (PD) subjects, who typically follow personalized one-to-one periodic rehabilitation …
Analysis and detection of pathological voice using glottal source features
Automatic detection of voice pathology enables objective assessment and earlier
intervention for the diagnosis. This study provides a systematic analysis of glottal source …
intervention for the diagnosis. This study provides a systematic analysis of glottal source …
Characterization methods for the detection of multiple voice disorders: neurological, functional, and laryngeal diseases
JR Orozco-Arroyave… - IEEE journal of …, 2015 - ieeexplore.ieee.org
This paper evaluates the accuracy of different characterization methods for the automatic
detection of multiple speech disorders. The speech impairments considered include …
detection of multiple speech disorders. The speech impairments considered include …
Sinusoidal model-based diagnosis of the common cold from the speech signal
Background and objective: Develo** speech signal-based non-invasive diagnosis
techniques is an emerging research field in biomedical signal processing. Detecting the …
techniques is an emerging research field in biomedical signal processing. Detecting the …
Robust and complex approach of pathological speech signal analysis
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 …
pathological speech signal analysis with a special focus on parametrization techniques. It …