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Comparison of LPCC and MFCC for isolated Malay speech recognition
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)
Automatic speech recognition (ASR) is an area of research which deals with the recognition of speech by machine in several conditions. ASR performs well under restricted conditions (quiet environment), but performance ...
Neural network based detection of voice disorders using energy spectrum and equal-loudness contours
(Universiti Teknologi MARA (UiTM), 2008-03-07)
Impairment of vocal function can have a major impact on the quality of life, severely limiting communication at work and affecting all social aspect of daily life. In the recent years, voice disease are increasing dramatically ...
Automatically infant cues recognition based on LDA and SVM classifier
(Springer Berlin Heidelberg, 2013)
This paper presents the management of sedation in critically ill infants is a complex issue for Intensive Care Units (ICU) worldwide. Notable complications of sedation practices have been identified and efforts to modify ...
Discrete wavelet transform in recognition human emotional movement through knocking
(IEEE Conference Publications, 2013)
Developing tools for identifying emotional states in human action is seen more challenging area of research and has attracted many researchers recently. In this paper, a new feature extraction method was proposed in ...
Automatic infant anxiety character with SVM
(Elsevier Ltd., 2012)
Notable complications of sedation practices have been identified and efforts to modify these practices in ICUs have begun. While sedation-scoring tools have been introduced into clinical practice in intensive care few have ...
Optimal selection of long time acoustic features using GA for the assessment of vocal fold disorders
(Trans Tech Publications, 2013)
In recent times, vocal fold problems have been increasing dramatically due to unhealthy social habits and voice abuse. Non-invasive methods like acoustic analysis of voice signals can be used to investigate such problems. ...
A study of human emotional: Review
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
Modeling human activities such as human
robotic, and human behavior is an active research involving multidisciplinary field including biomedical engineering, biomechanics, mathematics etc. Thus is
due to the fact that a ...
Speech stuttering assessment using sample entropy and Least Square Support Vector Machine
(Institute of Electrical and Electronics Engineers (IEEE), 2012-03)
This work is intended to discuss the performance of sample entropy feature for the recognition of stuttered events. The data for the analysis is taken from the UCLASS database. Manual segmentation is performed to identify ...
Objective analysis of vision impairments using single trial VEPs
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
Visually evoked potential (VEP) is an electrical signal generated by the brain (Occipital Cortex) in response to a visual
stimuli. These VEP are recorded non-invasively by placing the surface electrodes at the scalp, and ...
Automatic classification of infant cry: A review
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
This paper reviews the some of significant works on infant cry signal analysis proposed in the past two decades and reviews the recent progress in this field. The cry of baby cannot be predicted accurately where it is very ...