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Speech enhancement hybrid of wiener filter and haar wavelet algorithm using DSP

Master of Science in Embedded System Design Engineering

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Bibliographic Details
Main Author: May Myat Noe, Aye
Other Authors: Ruzelita, Ngadiran, Dr.
Format: Dissertation
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2017
Subjects:
Signal proccessing
Speech
Acoustic filters
Speech Enhancing
Noise
Wiener filter
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72770
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id my.unimap-72770
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spelling my.unimap-727702023-03-06T01:20:54Z Speech enhancement hybrid of wiener filter and haar wavelet algorithm using DSP May Myat Noe, Aye Ruzelita, Ngadiran, Dr. Signal proccessing Speech Acoustic filters Speech Enhancing Noise Wiener filter Master of Science in Embedded System Design Engineering The most common, natural and effective form of communication between human is speech. Generally, during speech communication a lot of unwanted noise were corrupted and make speech signal weak. Due to this enhancing or de-noising to speech signal become very important. In this project the speech enhancement hybrid of wiener filter and haar wavelet algorithm will perform degrading the unwanted noise which play in speech signal. The algorithm will implement on the floating point Digital Signal Processing processor by using c programming language. MATLAB is used to get the coefficients of process. The main objective of this project is to enhance the speech signal by using hybrid of wiener filtering and compressing with haar wavelet. In the filtering the use of TSNR and HRNR techniques reduced the noise and regenerated the harmonic signal in speech. Then by using Haar wavelet transform algorithm to compress the noise. By using PSNR measurement to compare the result. This result can open the doors for new future studies to try for applying other process like speech recognition and sound classification. 2017 2021-11-10T03:58:50Z 2021-11-10T03:58:50Z Dissertation http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72770 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Computer and Communication Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Signal proccessing
Speech
Acoustic filters
Speech Enhancing
Noise
Wiener filter
spellingShingle Signal proccessing
Speech
Acoustic filters
Speech Enhancing
Noise
Wiener filter
May Myat Noe, Aye
Speech enhancement hybrid of wiener filter and haar wavelet algorithm using DSP
description Master of Science in Embedded System Design Engineering
author2 Ruzelita, Ngadiran, Dr.
author_facet Ruzelita, Ngadiran, Dr.
May Myat Noe, Aye
format Dissertation
author May Myat Noe, Aye
author_sort May Myat Noe, Aye
title Speech enhancement hybrid of wiener filter and haar wavelet algorithm using DSP
title_short Speech enhancement hybrid of wiener filter and haar wavelet algorithm using DSP
title_full Speech enhancement hybrid of wiener filter and haar wavelet algorithm using DSP
title_fullStr Speech enhancement hybrid of wiener filter and haar wavelet algorithm using DSP
title_full_unstemmed Speech enhancement hybrid of wiener filter and haar wavelet algorithm using DSP
title_sort speech enhancement hybrid of wiener filter and haar wavelet algorithm using dsp
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2017
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72770
_version_ 1772813062651248640
score 13.214268

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