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Malay speech recognition to determine emotion using fuzzy logic / Siti Nazirah Abd Rahim

Emotion classification is something interesting, but to develop a system that can classify the type of emotion in speech is a difficult process. This is because it becomes complicated when people try to determine what type of emotions without seeing the facial expression. This project focuses on dev...

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Main Author: Abd Rahim, Siti Nazirah
Format: Thesis
Language:English
Published: 2013
Subjects:
Emotion
Fuzzy logic
Online Access:https://ir.uitm.edu.my/id/eprint/32793/2/32793.pdf
https://ir.uitm.edu.my/id/eprint/32793/
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id my.uitm.ir.32793
record_format eprints
spelling my.uitm.ir.327932024-09-29T07:01:11Z https://ir.uitm.edu.my/id/eprint/32793/ Malay speech recognition to determine emotion using fuzzy logic / Siti Nazirah Abd Rahim Abd Rahim, Siti Nazirah Emotion Fuzzy logic Emotion classification is something interesting, but to develop a system that can classify the type of emotion in speech is a difficult process. This is because it becomes complicated when people try to determine what type of emotions without seeing the facial expression. This project focuses on developing the prototype that can classify the type of emotion just by listening to the voice recorded only. The significant of this project is it can use in many industries such as operator service, counselor and lawyer. The objective of this project is to determine the type of emotion in recorded speech and to develop a system that can classify what type of emotion using fuzzy logic technique. To ensure the ability of this project, the testing process will be conducted using 50 samples of recorded speech. This project only covers three types of emotion that are happy, sad and angry. The classifying process is using average frequency of each recorded speech. This project also limited to Malay language and female voice only. As a conclusion, the prototype is able to determine the type of emotion in recorded speech using fuzzy logic technique. 2013 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/32793/2/32793.pdf Malay speech recognition to determine emotion using fuzzy logic / Siti Nazirah Abd Rahim. (2013) Degree thesis, thesis, Universiti Teknologi MARA Cawangan Perak. <http://terminalib.uitm.edu.my/32793.pdf>
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Emotion
Fuzzy logic
spellingShingle Emotion
Fuzzy logic
Abd Rahim, Siti Nazirah
Malay speech recognition to determine emotion using fuzzy logic / Siti Nazirah Abd Rahim
description Emotion classification is something interesting, but to develop a system that can classify the type of emotion in speech is a difficult process. This is because it becomes complicated when people try to determine what type of emotions without seeing the facial expression. This project focuses on developing the prototype that can classify the type of emotion just by listening to the voice recorded only. The significant of this project is it can use in many industries such as operator service, counselor and lawyer. The objective of this project is to determine the type of emotion in recorded speech and to develop a system that can classify what type of emotion using fuzzy logic technique. To ensure the ability of this project, the testing process will be conducted using 50 samples of recorded speech. This project only covers three types of emotion that are happy, sad and angry. The classifying process is using average frequency of each recorded speech. This project also limited to Malay language and female voice only. As a conclusion, the prototype is able to determine the type of emotion in recorded speech using fuzzy logic technique.
format Thesis
author Abd Rahim, Siti Nazirah
author_facet Abd Rahim, Siti Nazirah
author_sort Abd Rahim, Siti Nazirah
title Malay speech recognition to determine emotion using fuzzy logic / Siti Nazirah Abd Rahim
title_short Malay speech recognition to determine emotion using fuzzy logic / Siti Nazirah Abd Rahim
title_full Malay speech recognition to determine emotion using fuzzy logic / Siti Nazirah Abd Rahim
title_fullStr Malay speech recognition to determine emotion using fuzzy logic / Siti Nazirah Abd Rahim
title_full_unstemmed Malay speech recognition to determine emotion using fuzzy logic / Siti Nazirah Abd Rahim
title_sort malay speech recognition to determine emotion using fuzzy logic / siti nazirah abd rahim
publishDate 2013
url https://ir.uitm.edu.my/id/eprint/32793/2/32793.pdf
https://ir.uitm.edu.my/id/eprint/32793/
_version_ 1811596656140877824
score 13.211869

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