[HTML][HTML] A novel hybrid model integrating MFCC and acoustic parameters for voice disorder detection
Voice is an essential component of human communication, serving as a fundamental
medium for expressing thoughts, emotions, and ideas. Disruptions in vocal fold vibratory …
medium for expressing thoughts, emotions, and ideas. Disruptions in vocal fold vibratory …
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 …
Voice pathology detection using support vector machine based on different number of voice signals
In voice pathology detection system, machine learning algorithms play an important role in
the classification process. Most of the developed systems in voice pathology detection used …
the classification process. Most of the developed systems in voice pathology detection used …
[Retracted] An Analytical Study of Speech Pathology Detection Based on MFCC and Deep Neural Networks
M Zakariah, Y Ajmi Alotaibi, Y Guo… - … Methods in Medicine, 2022 - Wiley Online Library
Diseases of internal organs other than the vocal folds can also affect a person's voice. As a
result, voice problems are on the rise, even though they are frequently overlooked …
result, voice problems are on the rise, even though they are frequently overlooked …
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 …
A comparison of cepstral features in the detection of pathological voices by varying the input and filterbank of the cepstrum computation
Automatic voice pathology detection enables objective assessment of pathologies that affect
the voice production mechanism. Detection systems have been developed using the …
the voice production mechanism. Detection systems have been developed using the …
[HTML][HTML] Experimental evaluation of deep learning methods for an intelligent pathological voice detection system using the saarbruecken voice database
JY Lee - Applied Sciences, 2021 - mdpi.com
This work is focused on deep learning methods, such as feedforward neural network (FNN)
and convolutional neural network (CNN), for pathological voice detection using mel …
and convolutional neural network (CNN), for pathological voice detection using mel …
[HTML][HTML] 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 …
[HTML][HTML] Voice pathology detection using a two-level classifier based on combined cnn–rnn architecture
The construction of an automatic voice pathology detection system employing machine
learning algorithms to study voice abnormalities is crucial for the early detection of voice …
learning algorithms to study voice abnormalities is crucial for the early detection of voice …
[HTML][HTML] Multi-modal voice pathology detection architecture based on deep and handcrafted feature fusion
AN Omeroglu, HMA Mohammed, EA Oral - Engineering Science and …, 2022 - Elsevier
Automatic voice pathology detection systems can effectively help clinicians by enabling
objective assessment and diagnosis in early stage of voice pathologies. This paper …
objective assessment and diagnosis in early stage of voice pathologies. This paper …