Search
Now showing items 1-10 of 11
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 ...
Time-domain features and probabilistic neural network for the detection of vocal fold pathology
(Universiti Malaya, 2010)
Due to the nature of job, unhealthy social habits and voice abuse, people are subjected to the risk of voice problems. It is well known that most of vocal fold pathologies cause changes in the acoustic voice signal. ...
Gesture recognition system for Kod Tangan Bahasa Melayu (KTBM) using neural network
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
This paper presents simple methods for translating Kod Tangan Bahasa Melayu (KTBM) into voice signal based on subject head and two hand gestures. Different gesture signs made by different subjects are captured using a USB ...
A phoneme based sign language recognition system using skin color segmentation
(Institute of Electrical and Elctronics Engineering (IEEE), 2010-05-21)
A sign language is a language which, instead of
acoustically conveyed sound patterns, uses visually transmitted
sign patterns. Sign languages are commonly developed for deaf
communities, which can include interpreters, ...
Loudspeaker fault detection using artificial neural network
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
Traditionally, loudspeaker's quality control has been done manually and inspection of loudspeaker faults is time consuming and causes error in the quality evaluation. In order to reduce the time consumption and errors in ...
Diagnosis of vocal fold pathology using time-domain features and systole activated neural network
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
Due to the nature of job, unhealthy social habits and voice abuse, the people are subjected to the risk of voice problems. It is well known that most of vocal fold pathologies cause changes in the acoustic voice signal. ...
Vehicle noise comfort level indication: A psychoacoustic approach
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
Nowadays, the studies and researches related to the improvement of the passenger
comfort in the car are carried out vigorously. The comfort in the car interior is already
become a need for the passengers and the buyers. ...
Entropy based feature extraction for motorbike engine faults diagnosing using neural network and wavelet transform
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
The sound of working vehicle provides an important clue for engine faults diagnosis. Endless efforts have been put into the research of fault diagnosis based on sound. It offers concrete economic benefits, which can lead ...
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 ...
Statistical time energy based damage detection in steel plates using artificial neural networks
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
In this paper, a simple method for crack identification in steel plates based on statistical time energy is presented. A simple experimental procedure is also proposed to measure the vibration at different positions of a ...