Audio segmentation for speech/non-speech detection using wavelet transform

In this project, the noisy audio signal is segmented into speech signal and non-speech signal (that is noise or silence). In our proposed algorithm both the time and frequency domain properties are used to segment the components signals. For simplicity and efficiency, linear time-frequency transform...

Full description

Saved in:
Bibliographic Details
Main Author: Swe Zin Kalayar Khine.
Other Authors: Farook Sattar
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/3320
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
id sg-ntu-dr.10356-3320
record_format dspace
spelling sg-ntu-dr.10356-33202023-07-04T15:25:16Z Audio segmentation for speech/non-speech detection using wavelet transform Swe Zin Kalayar Khine. Farook Sattar School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing In this project, the noisy audio signal is segmented into speech signal and non-speech signal (that is noise or silence). In our proposed algorithm both the time and frequency domain properties are used to segment the components signals. For simplicity and efficiency, linear time-frequency transformation is used. The wavelet transform is chosen as the segmentation method as it can handle a wide class of problems including those requiring high time resolution and those requiring high- frequency resolution by choosing appropriate wavelet parameters. Master of Science (Signal Processing) 2008-09-17T09:27:20Z 2008-09-17T09:27:20Z 2006 2006 Thesis http://hdl.handle.net/10356/3320 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Swe Zin Kalayar Khine.
Audio segmentation for speech/non-speech detection using wavelet transform
description In this project, the noisy audio signal is segmented into speech signal and non-speech signal (that is noise or silence). In our proposed algorithm both the time and frequency domain properties are used to segment the components signals. For simplicity and efficiency, linear time-frequency transformation is used. The wavelet transform is chosen as the segmentation method as it can handle a wide class of problems including those requiring high time resolution and those requiring high- frequency resolution by choosing appropriate wavelet parameters.
author2 Farook Sattar
author_facet Farook Sattar
Swe Zin Kalayar Khine.
format Theses and Dissertations
author Swe Zin Kalayar Khine.
author_sort Swe Zin Kalayar Khine.
title Audio segmentation for speech/non-speech detection using wavelet transform
title_short Audio segmentation for speech/non-speech detection using wavelet transform
title_full Audio segmentation for speech/non-speech detection using wavelet transform
title_fullStr Audio segmentation for speech/non-speech detection using wavelet transform
title_full_unstemmed Audio segmentation for speech/non-speech detection using wavelet transform
title_sort audio segmentation for speech/non-speech detection using wavelet transform
publishDate 2008
url http://hdl.handle.net/10356/3320
_version_ 1772828787897008128