Browsing Conference Papers by Author "Paulraj, Murugesa Pandiyan, Prof. Madya"

Now showing items 1-10 of 10

    • Classification of vowel sounds using MFCC and feed forward neural network 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr.; Nazri, A.; Kumar, S. (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 ...

    • Classroom speech intelligibility prediction using Elman neural network 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr.; Ahmad Nazri, Abdullah; M., Thagirarani; M. Ridhwan, Tamjis (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 ...

    • Damage detection in steel plates using artificial neural networks 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Mohd Shukri, Abdul Majid; Sazali, Yaacob, Prof. Dr.; Mohd Hafiz, Fazalul Rahiman; Krishnan, R. P. (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 ...

    • Diagnosis of vocal fold pathology using time-domain features and systole activated neural network 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr.; Hariharan, M. (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. ...

    • Entropy based feature extraction for motorbike engine faults diagnosing using neural network and wavelet transform 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr.; Zin, M.Z.M. (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 ...

    • Gesture recognition system for Kod Tangan Bahasa Melayu (KTBM) using neural network 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr.; Hazry, Desa, Prof. Madya Dr.; Majid, W. M. R. W. A. (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 ...

    • Loudspeaker fault detection using artificial neural network 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr.; Saad, M. R. (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 ...

    • A phoneme based sign language recognition system using skin color segmentation 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr.; Mohd Shuhanaz, Zanar Azalan; Palaniappan, Rajkumar (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, ...

    • Statistical time energy based damage detection in steel plates using artificial neural networks 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Mohd Shukri, Abdul Majid; Sazali, Yaacob, Prof. Dr.; Mohd Hafiz, Fazalul Rahiman; Krishnan, R. P. (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 ...

    • Vehicle noise comfort level indication: A psychoacoustic approach 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr.; Andrew, Allan Melvin (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. ...