Browsing School of Microelectronic Engineering (Articles) by Author "Sindhu, Ravindran"
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A comparative study of wavelet families for classification of wrist motions
Muthusamy, Hariharan; Chong, Yen Fook; Sindhu, Ravindran; Bukhari, Ilias; Sazali, Yaacob, Prof. Dr. (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, ... -
A hybrid expert system approach for telemonitoring of vocal fold pathology
Hariharan, Muthusamy, Dr.; Kemal, Polatb; Sindhu, Ravindran; Sazali, Yaacob, Prof. Dr. (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. ... -
Infant cry classification to identify asphyxia using time-frequency analysis and radial basis neural networks
Muthusamy, Hariharan; Jeyaraman, Saraswathy; Sindhu, Ravindran; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (Elsevier Ltd, 2012-08)A cry is the first verbal communication of infants and it is described as a loud, high-pitched sound made by infants in response to certain situations. Infant cry signals can be used to identify physical or psychological ... -
Objective evaluation of speech dysfluencies using wavelet packet transform with sample entropy
Hariharan, Muthusamy, Dr.; Chong, Yen Fook; Sindhu, Ravindran; Abdul Hamid, Adom, Prof. Dr.; Sazali, Yaacob, Prof. Dr. (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 ... -
Optimal selection of long time acoustic features using GA for the assessment of vocal fold disorders
Sindhu, Ravindran; Neoh, Siew Chin, Dr.; Muthusamy, Hariharan, Dr. (Trans Tech Publications, 2013)In recent times, vocal fold problems have been increasing dramatically due to unhealthy social habits and voice abuse. Non-invasive methods like acoustic analysis of voice signals can be used to investigate such problems. ...