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...

Full description

Bibliographic Details
Main Author: Mohamad Tojid, Aisyah
Format: Thesis
Language:English
Published: 2006
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/1365/
http://ir.uitm.edu.my/id/eprint/1365/1/TB_AISYAH%20MOHAMAD%20TOJID%20CS%2006_5%20P01.pdf
id uitm-1365
recordtype eprints
spelling uitm-13652019-03-22T03:56:15Z http://ir.uitm.edu.my/id/eprint/1365/ Speech recognition to determine emotions using quick propagation neural network / Aisyah Mohamad Tojid 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 NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/1365/1/TB_AISYAH%20MOHAMAD%20TOJID%20CS%2006_5%20P01.pdf Mohamad Tojid, Aisyah (2006) Speech recognition to determine emotions using quick propagation neural network / Aisyah Mohamad Tojid. Degree thesis, Universiti Teknologi MARA.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
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
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
publishDate 2006
url http://ir.uitm.edu.my/id/eprint/1365/
http://ir.uitm.edu.my/id/eprint/1365/1/TB_AISYAH%20MOHAMAD%20TOJID%20CS%2006_5%20P01.pdf
first_indexed 2023-09-18T22:45:44Z
last_indexed 2023-09-18T22:45:44Z
_version_ 1777417211819851776