Browsing Sazali Yaacob, Prof. Dr. by Title
Now showing items 32-51 of 251
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Car cabin interior noise classification using temporal composite features and probabilistic neural network model
(Trans Tech Publications Inc., 2014)Determination of vehicle comfort is important because continuous exposure to the noise and vibration leads to health problems for the driver and passengers. In this paper, a vehicle comfort level classification system has ... -
Classification of emotional States from electrocardiogram signals: a non-linear approach based on hurst
(BioMed Central, 2013-05)Background: Identifying the emotional state is helpful in applications involving patients with autism and other intellectual disabilities; computer-based training, human computer interaction etc. Electrocardiogram (ECG) ... -
Classification of human emotion from eeg using discrete wavelet transform
(Scientific Research Publishing Inc, 2010-04)In this paper, we summarize the human emotion recognition using different set of electroencephalogram (EEG) channels using discrete wavelet transform. An audio-visual induction based protocol has been designed with more ... -
The classification of material mechanical properties using non-destructive vibration technique
(Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)This study is to develop a system of a non-destructive testing on the material to define the mechanical properties of material. The study focused on experimental and testing of the material mechanical properties using ... -
Classification of speaker accent using hybrid DWT-LPC features and K-nearest neighbors in ethnically diverse Malaysian English
(IEEE Conference Publications, 2012-12)Accent is a major cause of variability in automatic speaker-independent speech recognition systems. Under certain circumstances, this event introduces unsatisfactory performance of the systems. In order to circumvent this ... -
Classification of speech dysfluencies using LPC based parameterization techniques
(Springer Science+Business Media, LLC., 2011-01-20)The goal of this paper is to discuss and compare three feature extraction methods: Linear Predictive Coefficients (LPC), Linear Prediction Cepstral Coefficients (LPCC) and Weighted Linear Prediction Cepstral Coefficients ... -
Classification of speech dysfluencies with MFCC and LPCC features
(Elsevier Ltd., 2012-02)The goal of this paper is to discuss comparison of speech parameterization methods: Mel-Frequency Cepstrum Coefficients (MFCC) and Linear Prediction Cepstrum Coefficients (LPCC) for recognizing the stuttered events. Speech ... -
Classification of vehicle noise comfort level using feedforward neural network
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27) -
Classification of vowel sounds using MFCC and feed forward neural network
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)The English language as spoken by Malaysians varies from place to place and differs from one ethnic community and its sub-group to another. Hence, it is necessary to develop an exclusive Speech to text translation system ... -
Classifying material type and mechanical properties using artificial neural network
(Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)This paper focused on experimental data and study for the testing of the material mechanical properties using vibration technique. By applying vibration analysis and testing on the material, we could determine the natural ... -
Classroom speech intelligibility prediction using backpropagation Neural Network
(Coimbatore Institute of Technology, 2007-08-27)In terms of individual communication, speech is the most important and efficient means, even in today's multi-media society. Thus, classrooms are mainly used for delivering speech between lecturers and students, it is ... -
Classroom speech intelligibility prediction using Elman neural network
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)A study was conducted to develop a simple system for classrooms speech intelligibility prediction. In this study, several classrooms properties such as size, signal-to-noise ratio (SNR) and Speech Transmission Index ... -
Combining spatial filtering and wavelet transform for classifying human emotions using EEG Signals
(Biomedical Engineering Society of the R.O.C., 2011)In this paper, we present human emotion assessment using electroencephalogram (EEG) signals. The combination of surface Laplacian (SL) filtering, time-frequency analysis of wavelet transform (WT) and linear classifiers are ... -
A comparative study of wavelet families for classification of wrist motions
(Elsevier Ltd., 2012-11)The selection of most suitable mother wavelet function is still an open research problem in various signal and image processing applications. This paper presents a comparative study of different wavelet families (Daubechies, ... -
Comparison of classifying the material mechanical properties by using k-Nearest Neighbor and Neural Network Backpropagation
(Science Academy, 2011-03)This paper present a development of a system with non-destructive testing on the material to define the mechanical properties of material. The experimental and testing of the material mechanical properties using vibration ... -
Comparison of different wavelet features from EEG signals for classifying human emotions
(Institute of Electrical and Electronics Engineering (IEEE), 2009-10-04)In recent years, estimation of human emotions from Electroencephalogram (EEG) signals plays a vital role on developing intellectual Brain Computer Interface (BCI) devices. In this work, we have collected the EEG signals ... -
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 ... -
Conceptual view of Pneumatic Artificial Muscle
(Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-14)The intention of this article is to introduce and overview Pneumatic Artificial Muscles (PAMs). The construction of PAMS mainly consist of flexible, inflatable membranes, having orthotropic material behaviour. The main ... -
Damage detection in steel plates using artificial neural networks
(Institute of Electrical and Electronics Engineering (IEEE), 2009-06-04)In this paper, a simple method for crack identification in steel plates based on frame energy based Discrete Cosine Transformation (DCT) is presented. A simple experimental procedure is also proposed to measure the vibration ...