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A hybrid expert system approach for telemonitoring of vocal fold pathology
(Elsevier B.V., 2013)
Acoustical parameters extracted from the recorded voice samples are actively pursued for accurate detection of vocal fold pathology. Most of the system for detection of vocal fold pathology uses high quality voice samples. ...
Classification of acute leukaemia cells using multilayer perceptron and simplified fuzzy ARTMAP neural networks
(Zarqa University, Jordan, 2013-07)
Leukaemia is a cancer of blood that causes more death than any other cancers among children and young adults under the age of 20. This disease can be cured if it is detected and treated at the early stage. Based on this ...
Infant cry classification to identify asphyxia using time-frequency analysis and radial basis neural networks
(Elsevier Ltd, 2012-08)
A cry is the first verbal communication of infants and it is described as a loud, high-pitched sound made by infants in response to certain situations. Infant cry signals can be used to identify physical or psychological ...
Normal and hypoacoustic infant cry signal classification using time-frequency analysis and general regression neural network
(Elsevier Ireland Ltd., 2012-11)
Crying is the most noticeable behavior of infancy. Infant cry signals can be used to identify physical or psychological status of an infant. Recently, acoustic analysis of infant cry signal has shown promising results and ...
Development of a personified face emotion recognition technique using fitness function
(Springer Japan, 2007-08-10)
In this article, two subjects, one South East Asian (SEA) and the other Japanese, are considered for face emotion recognition using a genetic algorithm (GA). The parameters relating the face emotions in each case are ...
An automated cervical pre-cancerous diagnostic system
(Elsevier B.V., 2008-01)
Objective: This paper proposes to develop an automated diagnostic system for cervical pre-cancerous. Methods and data samples: The proposed automated diagnostic system consists of two parts; an automatic feature extraction ...
Vowel recognition based on frequency ranges determined by bandwidth approach
(Institute of Eelectrical and Electronics Engineering (IEEE), 2009-07)
Automatic speech recognition (ASR) has made great strides with the development of digital signal processing hardware and software especially using English as the language of choice. In this paper, a new feature extraction ...
Japanese face emotions classification using lip features
(Institute of Electrical and Electronics Engineering (IEEE), 2007)
In this paper, lip features are applied to classify the human emotion using a set of irregular ellipse fitting equations using Genetic algorithm. As Japanese, is considered in this study. All six universally accepted ...
Detection of vocal fold paralysis and edema using time-domain features and probabilistic neural network
(Inderscience Publisher, 2011)
This paper proposes a feature extraction method based on time-domain energy variation for the detection of vocal fold pathology. In this work, two different vocal fold problems (vocal fold paralysis and edema) are taken ...