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Malay spoken word segmentation using magnitude sum function / Fara Ezwana Dardihi

Speech recognition or voice recognition is the identification of spoken words by a machine. The spoken words are digitized by getting the input through a microphone and matched the patterns produced by the speaker against coded database in order to identify the words. In the speech recognition the s...

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Main Author: Dardihi, Fara Ezwana
Format: Thesis
Language:English
Published: 2010
Subjects:
Analysis
Online Access:https://ir.uitm.edu.my/id/eprint/98201/1/98201.pdf
https://ir.uitm.edu.my/id/eprint/98201/
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spelling my.uitm.ir.982012024-07-29T09:38:56Z https://ir.uitm.edu.my/id/eprint/98201/ Malay spoken word segmentation using magnitude sum function / Fara Ezwana Dardihi Dardihi, Fara Ezwana Analysis Speech recognition or voice recognition is the identification of spoken words by a machine. The spoken words are digitized by getting the input through a microphone and matched the patterns produced by the speaker against coded database in order to identify the words. In the speech recognition the segmentation of speech is important. Speech segmentation is a method of separating the speech into some isolated sub-words with optimal boundaries. The aim of this research is to apply the segmentation techniques to Malay speeches. In this research, Malay digit speeches were recorded and segmented using magnitude sum function. The segmented speeches can be used on Malay speech recognition on other application that related to speech recognition for example spoken document retrieval system that mainly for indexing continuous Malay speeches and its transcribed document. 2010 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/98201/1/98201.pdf Malay spoken word segmentation using magnitude sum function / Fara Ezwana Dardihi. (2010) Degree 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 Analysis
spellingShingle Analysis
Dardihi, Fara Ezwana
Malay spoken word segmentation using magnitude sum function / Fara Ezwana Dardihi
description Speech recognition or voice recognition is the identification of spoken words by a machine. The spoken words are digitized by getting the input through a microphone and matched the patterns produced by the speaker against coded database in order to identify the words. In the speech recognition the segmentation of speech is important. Speech segmentation is a method of separating the speech into some isolated sub-words with optimal boundaries. The aim of this research is to apply the segmentation techniques to Malay speeches. In this research, Malay digit speeches were recorded and segmented using magnitude sum function. The segmented speeches can be used on Malay speech recognition on other application that related to speech recognition for example spoken document retrieval system that mainly for indexing continuous Malay speeches and its transcribed document.
format Thesis
author Dardihi, Fara Ezwana
author_facet Dardihi, Fara Ezwana
author_sort Dardihi, Fara Ezwana
title Malay spoken word segmentation using magnitude sum function / Fara Ezwana Dardihi
title_short Malay spoken word segmentation using magnitude sum function / Fara Ezwana Dardihi
title_full Malay spoken word segmentation using magnitude sum function / Fara Ezwana Dardihi
title_fullStr Malay spoken word segmentation using magnitude sum function / Fara Ezwana Dardihi
title_full_unstemmed Malay spoken word segmentation using magnitude sum function / Fara Ezwana Dardihi
title_sort malay spoken word segmentation using magnitude sum function / fara ezwana dardihi
publishDate 2010
url https://ir.uitm.edu.my/id/eprint/98201/1/98201.pdf
https://ir.uitm.edu.my/id/eprint/98201/
_version_ 1806422155360993280
score 13.211869

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