Voice disorder identification by using machine learning techniques
Nowadays, the use of mobile devices in the healthcare sector is increasing significantly.
Mobile technologies offer not only forms of communication for multimedia content (eg clinical …
Mobile technologies offer not only forms of communication for multimedia content (eg clinical …
Identification of voice disorders using long-time features and support vector machine with different feature reduction methods
Identification of voice disorders has a fundamental role in our life nowadays. Therefore,
many of these diseases must be diagnosed at early stages of occurrence before they lead to …
many of these diseases must be diagnosed at early stages of occurrence before they lead to …
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 …
Voice data mining for laryngeal pathology assessment
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 …
analysis in the detection of voice pathologies. Firstly, an initial vector was created consisting …
Machine learning approach to dysphonia detection
Z Dankovičová, D Sovák, P Drotár, L Vokorokos - Applied Sciences, 2018 - mdpi.com
This paper addresses the processing of speech data and their utilization in a decision
support system. The main aim of this work is to utilize machine learning methods to …
support system. The main aim of this work is to utilize machine learning methods to …
Voice pathology detection using machine learning technique
Recent proposed researches have witnessed that voice pathology detection systems can
effectively contribute to the voice disorders assessment and provide early detection of voice …
effectively contribute to the voice disorders assessment and provide early detection of voice …
Multidirectional regression (MDR)-based features for automatic voice disorder detection
BACKGROUND AND OBJECTIVE: Objective assessment of voice pathology has a growing
interest nowadays. Automatic speech/speaker recognition (ASR) systems are commonly …
interest nowadays. Automatic speech/speaker recognition (ASR) systems are commonly …
Leveraging artificial intelligence to improve voice disorder identification through the use of a reliable mobile app
The evolution of the Internet of Things, cloud computing and wireless communication has
contributed to an advance in the interconnectivity, efficiency and data accessibility in smart …
contributed to an advance in the interconnectivity, efficiency and data accessibility in smart …
Voice pathology detection and classification using convolutional neural network model
Voice pathology disorders can be effectively detected using computer-aided voice pathology
classification tools. These tools can diagnose voice pathologies at an early stage and …
classification tools. These tools can diagnose voice pathologies at an early stage and …
Investigation of voice pathology detection and classification on different frequency regions using correlation functions
Summary Objectives and Background Automatic voice pathology detection and
classification systems effectively contribute to the assessment of voice disorders, which …
classification systems effectively contribute to the assessment of voice disorders, which …