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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 ...
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 ...
Assimilate the auditory scale with wavelet packet filters for multistyle classification of speech under stress
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
Nowadays, people are having high stress level due to highworkload stress, emergency phone call and multitasking. Emotional/stress of a person affects his/her performance in daily
life and speech production. The research ...
A review: Malay speech recognition and audio visual speech recognition
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
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 ...
Identification of vocal and voice disorders
(Universiti Malaysia Perlis (UniMAP), 2007-10-25)
The discrimination of normal and pathological voices using noninvasive acoustic analysis helps to perform accurate identification of voice disorders and diagnoses of vocal and voice disease. Acoustic analysis is a non- ...
Feature extraction based on mel-scaled wavelet packet transform for the diagnosis of voice disorders
(SpringerLink, 2008-06-25)
Feature extraction from the vocal signal plays very important role in the area of automatic detection of voice disorders. Many feature extraction algorithms have been developed in the last three decades based on acoustic ...