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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 ...
Comparison of speech parameterization techniques for the classification of speech disfluencies
(Scientific and Technical Research Council of Turkey, 2013-12)
Stuttering assessment through the manual classification of speech disfluencies is subjective, inconsistent, time-consuming, and prone to error. The aim of this paper is to compare the effectiveness of the 3 speech feature ...
Speech emotion recognition using kNN classifier
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)
There are many methods that are commonly used by researches in order to recognize speech of human emotion. In this paper, Surrey audio-visual expressed emotion (SAVEE) database are used for the analysis. The Mel-Frequency ...
Investigation of vision impairments using pattern reversal VEPs and extreme learning machine
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)
Analysis of vision impairment using pattern reversal visually evoked potentials (VEP) is gaining interest from researchers. The VEPs are collected using non-invasive EEG electrodes from the scalp overlaying the occipital ...
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. ...
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 ...
Objective investigation of vision impairments using single trial pattern reversal visually evoked potentials
(Elsevier Ltd., 2013-07)
Visually evoked potentials (VEPs) originate from the occipital cortex and have long been used as a reliable indicator for vision impairments by ophthalmologists. Any abnormalities in the visual pathways of a person can be ...
Objective evaluation of speech dysfluencies using wavelet packet transform with sample entropy
(Elsevier Inc, 2013-05)
Dysfluency and stuttering are a break or interruption of normal speech such as repetition, prolongation, interjection of syllables, sounds, words or phrases and involuntary silent pauses or blocks in communication. Stuttering ...
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 ...
New newborn jaundice monitoring scheme based on combination of pre-processing and color detection method
(Elsevier B.V., 2013)
Newborn jaundice is an apparent yellowing of the sclera or yellowish skin in newborn infants. This symptom is caused by a yellow pigment known as bilirubin. A high level of bilirubin in the infant is referred to as ...