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 …
Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review
The growing and aging of the world population have driven the shortage of medical
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
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 …
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 …
Epileptic seizure detection based on time-frequency images of EEG signals using Gaussian mixture model and gray level co-occurrence matrix features
The electroencephalogram (EEG) signal analysis is a valuable tool in the evaluation of
neurological disorders, which is commonly used for the diagnosis of epileptic seizures. This …
neurological disorders, which is commonly used for the diagnosis of epileptic seizures. This …
Introducing the Discrete Path Transform (DPT) and its applications in signal analysis, artefact removal, and spoken word recognition
RC Guido, F Pedroso, RC Contreras… - Digital Signal …, 2021 - Elsevier
This article introduces the Discrete Path Transform (DPT). Designed to serve as a new tool
for handcraft feature extraction (FE), it improves the elementary analysis provided by signal …
for handcraft feature extraction (FE), it improves the elementary analysis provided by signal …
An optimum algorithm in pathological voice quality assessment using wavelet-packet-based features, linear discriminant analysis and support vector machine
MK Arjmandi, M Pooyan - Biomedical signal processing and control, 2012 - Elsevier
Voice impairments, attention to increased unhealthy social behavior and voice abuse, have
been increasing dramatically. Therefore, diagnosis of voice diseases has an important role …
been increasing dramatically. Therefore, diagnosis of voice diseases has an important role …
Simulating dysarthric speech for training data augmentation in clinical speech applications
Training machine learning algorithms for speech applications requires large, labeled
training data sets. This is problematic for clinical applications where obtaining such data is …
training data sets. This is problematic for clinical applications where obtaining such data is …
Speaker identification using vowels features through a combined method of formants, wavelets, and neural network classifiers
K Daqrouq, TA Tutunji - Applied Soft Computing, 2015 - Elsevier
This paper proposes a new method for speaker feature extraction based on Formants,
Wavelet Entropy and Neural Networks denoted as FWENN. In the first stage, five formants …
Wavelet Entropy and Neural Networks denoted as FWENN. In the first stage, five formants …
Development of nonlinear model based on wavelet-ANFIS for rainfall forecasting at Klang Gates Dam
Rainfall is one of the most complicated effective hydrologic processes in runoff prediction
and water management. Artificial neural networks (ANN) have been found efficient …
and water management. Artificial neural networks (ANN) have been found efficient …