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: Siti Nazirah, Abd Rahim
Format: Thesis
Language:English
Published: 2013
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/32793/1/32793.pdf
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spelling my-uitm-ir.327932020-07-27T07:49:21Z Malay speech recognition to determine emotion using fuzzy logic / Siti Nazirah Abd Rahim 2013-07-18 Siti Nazirah, Abd Rahim 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. 2013-07 Thesis https://ir.uitm.edu.my/id/eprint/32793/ https://ir.uitm.edu.my/id/eprint/32793/1/32793.pdf text en public degree Universiti Teknologi MARA Cawangan Perak Faculty of Computer and Mathematical Sciences Normah, Mohd Rawi
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Normah, Mohd Rawi
topic Emotion
Fuzzy logic
spellingShingle Emotion
Fuzzy logic
Siti Nazirah, Abd Rahim
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
qualification_level Bachelor degree
author Siti Nazirah, Abd Rahim
author_facet Siti Nazirah, Abd Rahim
author_sort Siti Nazirah, Abd Rahim
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
granting_institution Universiti Teknologi MARA Cawangan Perak
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2013
url https://ir.uitm.edu.my/id/eprint/32793/1/32793.pdf
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