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 …
Predicting tanker freight rates using parsimonious variables and a hybrid artificial neural network with an adaptive genetic algorithm
Short-term prediction of tanker freight rates (TFRs) is strategically important to stakeholders
in the oil ship** industry. This study develops a hybrid TFR prediction model based on an …
in the oil ship** industry. This study develops a hybrid TFR prediction model based on an …
Hierarchical classification and system combination for automatically identifying physiological and neuromuscular laryngeal pathologies
Objectives Speech signal processing techniques have provided several contributions to
pathologic voice identification, in which healthy and unhealthy voice samples are evaluated …
pathologic voice identification, in which healthy and unhealthy voice samples are evaluated …
Research on athlete skip** surface electromyography and energy consumption based on principal component analysis of wavelet packet
Y Yu - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
EMG signal acquisition is mostly used in medical research. However, it has not been applied
in athletes' sports state recognition and body state detection, and there are few related …
in athletes' sports state recognition and body state detection, and there are few related …
Feature selection method based on genetic algorithm with wrapper-embedded technique for medical record classification
Medical records, also known as Electronic Health Records, can be used to analyze medical
data which contributes to greater knowledge of information related to disease, disease …
data which contributes to greater knowledge of information related to disease, disease …
[PDF][PDF] Semi-automatic segmentation system for syllables extraction from continuous Arabic audio signal
The paper describes a speaker independent segmentation system for breaking Arabic
uttered sentences into its constituent syllables. The goal is to construct a database of …
uttered sentences into its constituent syllables. The goal is to construct a database of …
Disordered voice classification using SVM and feature selection using GA
S Firdos, K Umarani - 2016 Second International Conference …, 2016 - ieeexplore.ieee.org
Many individuals are subjected to the risk of voice disorders which may be characterized by
hoarseness, vocal fatigue, periodic loss of voice or inappropriate pitch or loudness. These …
hoarseness, vocal fatigue, periodic loss of voice or inappropriate pitch or loudness. These …
Low band continuous speech system for voice pathologies identification
This paper describes the impact of the signal bandwidth reduction in the identification of
voice pathologies. The implemented systems evaluate the identification of 3 classes divided …
voice pathologies. The implemented systems evaluate the identification of 3 classes divided …
[PDF][PDF] Identification of queen-less beehives using signal enhancement techniques and neural networks
R Peng - 2021 - researchbank.ac.nz
Beekee** has a long history of about 180 years in New Zealand. The first group of honey
bees introduced has expanded to approximately one million registered beehives by now. An …
bees introduced has expanded to approximately one million registered beehives by now. An …
[PDF][PDF] Dual-Tree Complex Wavelet Packet Transform for Voice Pathology Analysis.
Voice pathology analysis has been one of the useful tools in the diagnosis of the
pathological voice, as the method is non-invasive, inexpensive, and can reduce the time …
pathological voice, as the method is non-invasive, inexpensive, and can reduce the time …