Speech recognition to determine emotions using quick propagation neural network / Aisyah Mohamad Tojid

Emotions play important roles in expressing feelings as it tend to make people acts differently. Determine emotions of other people are less complicated if we are facing each other rather than from voice independently such as conversation in telephone. A main industry that major dealing with tel...

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Bibliographic Details
Main Author:	Mohamad Tojid, Aisyah
Format:	Thesis
Language:	English
Published:	2006
Subjects:	Electronic Computers Computer Science Computer software
Online Access:	https://ir.uitm.edu.my/id/eprint/1365/1/TB_AISYAH%20MOHAMAD%20TOJID%20CS%2006_5%20P01.pdf
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id	my-uitm-ir.1365
record_format	uketd_dc
spelling	my-uitm-ir.13652019-03-22T03:56:15Z Speech recognition to determine emotions using quick propagation neural network / Aisyah Mohamad Tojid 2006 Mohamad Tojid, Aisyah Electronic Computers. Computer Science Computer software Emotions play important roles in expressing feelings as it tend to make people acts differently. Determine emotions of other people are less complicated if we are facing each other rather than from voice independently such as conversation in telephone. A main industry that major dealing with telephone as a medium for services is call center. Thus it is a significant step to developing a prototype system for this industry. This project is focusing on speech recognition to determine emotions in call center environment. The objectives of this project are to identify the quick propagation neural network, determine the emotion through the recorded speech and develop the prototype system. This system will implement the quick propagation neural network using 65 of speech signal as a sample data. Two features will be extracted from each speech signal which are the Fundamental Track Frequency (FTT) and Mel Frequency Ceptral Coefficient (MFCC). It covers types of emotions which are happy, sad and anger emotions state. However to ensure the ability of the prototype, few experiments are being conducted to achieved the satisfy values for parameter for the prototype inputs to achieve the efficiency. In a conclusion, the prototype is able to determine emotions states from voice using Quick Propagation neural network. 2006 Thesis https://ir.uitm.edu.my/id/eprint/1365/ https://ir.uitm.edu.my/id/eprint/1365/1/TB_AISYAH%20MOHAMAD%20TOJID%20CS%2006_5%20P01.pdf text en public degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Electronic Computers Computer Science Computer software
spellingShingle	Electronic Computers Computer Science Computer software Mohamad Tojid, Aisyah Speech recognition to determine emotions using quick propagation neural network / Aisyah Mohamad Tojid
description	Emotions play important roles in expressing feelings as it tend to make people acts differently. Determine emotions of other people are less complicated if we are facing each other rather than from voice independently such as conversation in telephone. A main industry that major dealing with telephone as a medium for services is call center. Thus it is a significant step to developing a prototype system for this industry. This project is focusing on speech recognition to determine emotions in call center environment. The objectives of this project are to identify the quick propagation neural network, determine the emotion through the recorded speech and develop the prototype system. This system will implement the quick propagation neural network using 65 of speech signal as a sample data. Two features will be extracted from each speech signal which are the Fundamental Track Frequency (FTT) and Mel Frequency Ceptral Coefficient (MFCC). It covers types of emotions which are happy, sad and anger emotions state. However to ensure the ability of the prototype, few experiments are being conducted to achieved the satisfy values for parameter for the prototype inputs to achieve the efficiency. In a conclusion, the prototype is able to determine emotions states from voice using Quick Propagation neural network.
format	Thesis
qualification_level	Bachelor degree
author	Mohamad Tojid, Aisyah
author_facet	Mohamad Tojid, Aisyah
author_sort	Mohamad Tojid, Aisyah
title	Speech recognition to determine emotions using quick propagation neural network / Aisyah Mohamad Tojid
title_short	Speech recognition to determine emotions using quick propagation neural network / Aisyah Mohamad Tojid
title_full	Speech recognition to determine emotions using quick propagation neural network / Aisyah Mohamad Tojid
title_fullStr	Speech recognition to determine emotions using quick propagation neural network / Aisyah Mohamad Tojid
title_full_unstemmed	Speech recognition to determine emotions using quick propagation neural network / Aisyah Mohamad Tojid
title_sort	speech recognition to determine emotions using quick propagation neural network / aisyah mohamad tojid
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2006
url	https://ir.uitm.edu.my/id/eprint/1365/1/TB_AISYAH%20MOHAMAD%20TOJID%20CS%2006_5%20P01.pdf
_version_	1783733004602966016

Speech recognition to determine emotions using quick propagation neural network / Aisyah Mohamad Tojid

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