Infant Cries Recognition using Neural Network / Muhammad Fariduddin Mohd Yasin

In this work, a study to recognize and classify the infant's cries was presented as most of parents or people cannot understand why their baby is crying. The information and knowledge is acquitted from several documents and researches done by other researchers. The method used in order to reco...

Full description

Saved in:

Bibliographic Details
Main Author:	Mohd Yasin, Muhammad Fariduddin
Format:	Thesis
Language:	English
Published:	2015
Subjects:	Electronic Computers Computer Science Android Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/49255/1/49255.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.49255
record_format	uketd_dc
spelling	my-uitm-ir.492552022-08-19T09:26:07Z Infant Cries Recognition using Neural Network / Muhammad Fariduddin Mohd Yasin 2015 Mohd Yasin, Muhammad Fariduddin Electronic Computers. Computer Science Android Neural networks (Computer science) In this work, a study to recognize and classify the infant's cries was presented as most of parents or people cannot understand why their baby is crying. The information and knowledge is acquitted from several documents and researches done by other researchers. The method used in order to recognize and classify the cries is Neural Network. The classification is done using the software called Matlab, where the crying sounds during the "pre-cry stage" that is before the babies start crying hysterically are taken as the input. The cries were recorded using the function in the Matlab and Neural Network is applied. The cries are classified based on research made by baby language's researchers, Priscilla Dunstan. This study gets the data from several videos of Priscilla's researches and trained it. The trained data then is tested with new recorded cries. As a result, this study successfully recognizes several infant cries based on its types and it is hoped that this type of study is conducted on a bigger scale. Universiti Teknologi MARA, Shah Alam 2015 Thesis https://ir.uitm.edu.my/id/eprint/49255/ https://ir.uitm.edu.my/id/eprint/49255/1/49255.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences Abdul Latif, Lily Marlia
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abdul Latif, Lily Marlia
topic	Electronic Computers Computer Science Android Neural networks (Computer science)
spellingShingle	Electronic Computers Computer Science Android Neural networks (Computer science) Mohd Yasin, Muhammad Fariduddin Infant Cries Recognition using Neural Network / Muhammad Fariduddin Mohd Yasin
description	In this work, a study to recognize and classify the infant's cries was presented as most of parents or people cannot understand why their baby is crying. The information and knowledge is acquitted from several documents and researches done by other researchers. The method used in order to recognize and classify the cries is Neural Network. The classification is done using the software called Matlab, where the crying sounds during the "pre-cry stage" that is before the babies start crying hysterically are taken as the input. The cries were recorded using the function in the Matlab and Neural Network is applied. The cries are classified based on research made by baby language's researchers, Priscilla Dunstan. This study gets the data from several videos of Priscilla's researches and trained it. The trained data then is tested with new recorded cries. As a result, this study successfully recognizes several infant cries based on its types and it is hoped that this type of study is conducted on a bigger scale.
format	Thesis
qualification_level	Bachelor degree
author	Mohd Yasin, Muhammad Fariduddin
author_facet	Mohd Yasin, Muhammad Fariduddin
author_sort	Mohd Yasin, Muhammad Fariduddin
title	Infant Cries Recognition using Neural Network / Muhammad Fariduddin Mohd Yasin
title_short	Infant Cries Recognition using Neural Network / Muhammad Fariduddin Mohd Yasin
title_full	Infant Cries Recognition using Neural Network / Muhammad Fariduddin Mohd Yasin
title_fullStr	Infant Cries Recognition using Neural Network / Muhammad Fariduddin Mohd Yasin
title_full_unstemmed	Infant Cries Recognition using Neural Network / Muhammad Fariduddin Mohd Yasin
title_sort	infant cries recognition using neural network / muhammad fariduddin mohd yasin
granting_institution	Universiti Teknologi MARA, Perak
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2015
url	https://ir.uitm.edu.my/id/eprint/49255/1/49255.pdf
_version_	1783734795795169280

Infant Cries Recognition using Neural Network / Muhammad Fariduddin Mohd Yasin

Similar Items