Voice recognition (speech analysis using MATLAB) / Jamilah Bunanjin

Voice recognition (speech analysis using MATLAB) / Jamilah Bunanjin

Speech signal processing and analyzing is an important research. In this project the signal is processed and analyzed to determine whether it is voiced or unvoiced signal by using autocorrelation method. The data used are word 'SAYA' and 'DIA'. From word SAYA, the frames that can...

Full description

Saved in:
Bibliographic Details
Main Author: Bunanjin, Jamilah
Format: Thesis
Language:English
Published: 2000
Subjects:
Pattern recognition systems
Online Access:https://ir.uitm.edu.my/id/eprint/81274/1/81274.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uitm-ir.81274
record_format uketd_dc
spelling my-uitm-ir.812742023-11-20T09:19:39Z Voice recognition (speech analysis using MATLAB) / Jamilah Bunanjin 2000 Bunanjin, Jamilah Pattern recognition systems Speech signal processing and analyzing is an important research. In this project the signal is processed and analyzed to determine whether it is voiced or unvoiced signal by using autocorrelation method. The data used are word 'SAYA' and 'DIA'. From word SAYA, the frames that can be produced from 11900 samples are 25 frames of data. While for word DIA, the frames that can be produced from 4500 samples are 17 frames of data with each frame (from word SA YA and DIA) uniformly having 300 samples. The length of each frame is the same. To determine whether the signal is either voiced or unvoiced is by analyzing at the peak of autocorrelation function on the error signal. If the second peak is 30% higher than the first peak, so it is declared as 'voiced' and if the peak is less than 30% from the first peak, so it is declared as 'unvoiced'. MATLAB is used to find the comparison between the input data (original data) and new data (filtered data) and also to find the peak of autocorrelation function from the signal. 2000 Thesis https://ir.uitm.edu.my/id/eprint/81274/ https://ir.uitm.edu.my/id/eprint/81274/1/81274.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Kamariah Ismail, Kamariah Ismail
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Kamariah Ismail, Kamariah Ismail
topic Pattern recognition systems
spellingShingle Pattern recognition systems
Bunanjin, Jamilah
Voice recognition (speech analysis using MATLAB) / Jamilah Bunanjin
description Speech signal processing and analyzing is an important research. In this project the signal is processed and analyzed to determine whether it is voiced or unvoiced signal by using autocorrelation method. The data used are word 'SAYA' and 'DIA'. From word SAYA, the frames that can be produced from 11900 samples are 25 frames of data. While for word DIA, the frames that can be produced from 4500 samples are 17 frames of data with each frame (from word SA YA and DIA) uniformly having 300 samples. The length of each frame is the same. To determine whether the signal is either voiced or unvoiced is by analyzing at the peak of autocorrelation function on the error signal. If the second peak is 30% higher than the first peak, so it is declared as 'voiced' and if the peak is less than 30% from the first peak, so it is declared as 'unvoiced'. MATLAB is used to find the comparison between the input data (original data) and new data (filtered data) and also to find the peak of autocorrelation function from the signal.
format Thesis
qualification_level Bachelor degree
author Bunanjin, Jamilah
author_facet Bunanjin, Jamilah
author_sort Bunanjin, Jamilah
title Voice recognition (speech analysis using MATLAB) / Jamilah Bunanjin
title_short Voice recognition (speech analysis using MATLAB) / Jamilah Bunanjin
title_full Voice recognition (speech analysis using MATLAB) / Jamilah Bunanjin
title_fullStr Voice recognition (speech analysis using MATLAB) / Jamilah Bunanjin
title_full_unstemmed Voice recognition (speech analysis using MATLAB) / Jamilah Bunanjin
title_sort voice recognition (speech analysis using matlab) / jamilah bunanjin
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2000
url https://ir.uitm.edu.my/id/eprint/81274/1/81274.pdf
_version_ 1783736321436549120

Similar Items