Speaker individuality determination by using prosodic features analysis / Shukur Khalid

Speech signal conveys information on several levels. It is an outcome of influence of several physiological, psychological and environmental factors. It contains a message genetically expressed as a sequence of words, information specific to the speaker that produced the speech, and information abou...

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Main Author: Khalid, Shukur
Format: Thesis
Language:English
Published: 2007
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Online Access:https://ir.uitm.edu.my/id/eprint/64646/1/64646.pdf
https://ir.uitm.edu.my/id/eprint/64646/
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spelling my.uitm.ir.646462023-04-19T01:31:04Z https://ir.uitm.edu.my/id/eprint/64646/ Speaker individuality determination by using prosodic features analysis / Shukur Khalid Khalid, Shukur Prosodic analysis Applications of electronics Speech signal conveys information on several levels. It is an outcome of influence of several physiological, psychological and environmental factors. It contains a message genetically expressed as a sequence of words, information specific to the speaker that produced the speech, and information about the environment in which the speech was produced and transmitted. Speaker specific information includes the identity of the speaker, the gender of the speaker, the language or dialect of the speaker and possibly the physical and emotional condition of the speaker. That richness of information gives a distinctive "identity" to the speech of different individuals. Suprasegmental refers to the time span of the acoustic analysis. Its parameters are spread over several segments as the name suggests. Suprasegmental parameters are also called prosodic parameters. Prosodic is responsible for controlling the intonation, stress, and rhythmic organization of the speech. Typical acoustic suprasegmental measurements are the energy and FO contours. In this research, both prosodic features namely pitch and energy are investigated and analyzed. The purpose is to study how far the normal and disguised speech can be discriminated and to find the best technique for characterizing the individual speakers. Some statistics and prosodic feature extraction computation are conducted through Praat tool and'a comparative analysis between normal and disguised utterances collected from ten different subjects is done. Some variations in pitch and energy features are recorded and from those findings, it is concluded that speaker individuality can be determined whether the subjects speak in normal or disguised manner. 2007 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/64646/1/64646.pdf Speaker individuality determination by using prosodic features analysis / Shukur Khalid. (2007) Masters thesis, thesis, Universiti Teknologi MARA (UiTM).
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 Prosodic analysis
Applications of electronics
spellingShingle Prosodic analysis
Applications of electronics
Khalid, Shukur
Speaker individuality determination by using prosodic features analysis / Shukur Khalid
description Speech signal conveys information on several levels. It is an outcome of influence of several physiological, psychological and environmental factors. It contains a message genetically expressed as a sequence of words, information specific to the speaker that produced the speech, and information about the environment in which the speech was produced and transmitted. Speaker specific information includes the identity of the speaker, the gender of the speaker, the language or dialect of the speaker and possibly the physical and emotional condition of the speaker. That richness of information gives a distinctive "identity" to the speech of different individuals. Suprasegmental refers to the time span of the acoustic analysis. Its parameters are spread over several segments as the name suggests. Suprasegmental parameters are also called prosodic parameters. Prosodic is responsible for controlling the intonation, stress, and rhythmic organization of the speech. Typical acoustic suprasegmental measurements are the energy and FO contours. In this research, both prosodic features namely pitch and energy are investigated and analyzed. The purpose is to study how far the normal and disguised speech can be discriminated and to find the best technique for characterizing the individual speakers. Some statistics and prosodic feature extraction computation are conducted through Praat tool and'a comparative analysis between normal and disguised utterances collected from ten different subjects is done. Some variations in pitch and energy features are recorded and from those findings, it is concluded that speaker individuality can be determined whether the subjects speak in normal or disguised manner.
format Thesis
author Khalid, Shukur
author_facet Khalid, Shukur
author_sort Khalid, Shukur
title Speaker individuality determination by using prosodic features analysis / Shukur Khalid
title_short Speaker individuality determination by using prosodic features analysis / Shukur Khalid
title_full Speaker individuality determination by using prosodic features analysis / Shukur Khalid
title_fullStr Speaker individuality determination by using prosodic features analysis / Shukur Khalid
title_full_unstemmed Speaker individuality determination by using prosodic features analysis / Shukur Khalid
title_sort speaker individuality determination by using prosodic features analysis / shukur khalid
publishDate 2007
url https://ir.uitm.edu.my/id/eprint/64646/1/64646.pdf
https://ir.uitm.edu.my/id/eprint/64646/
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score 13.160551