Speech enhancement employing Laplacian-Gaussian mixture

73 p.

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Bibliographic Details
Main Author:	Kyawt Na Thar Min.
Other Authors:	Soon Ing Yann
Format:	Theses and Dissertations
Published:	2011
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:	http://hdl.handle.net/10356/46896
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-46896
record_format	dspace
spelling	sg-ntu-dr.10356-468962023-07-04T15:49:44Z Speech enhancement employing Laplacian-Gaussian mixture Kyawt Na Thar Min. Soon Ing Yann School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing 73 p. This dissertation reports my work on speech enhancement incorporating statistical modelling of speech signals. In this low complexity speech enhancement algorithm (SEA), a noisy speech signal is first decorrelated and then the clean speech components are estimated from the decorrelated noisy speech samples. The probability density distributions of clean speech and noise signals are assumed to be Laplacian and Gaussian, respectively. The clean speech components are estimated either by Maximum Likelihood (ML) or Minimum-Mean-Square-Error (MMSE) estimators. These estimators require some statistical parameters that can be estimated from the noisy speech. These parameters are adaptively extracted by the ML approach during the active speech or silence intervals, respectively. Master of Science (Signal Processing) 2011-12-27T05:42:52Z 2011-12-27T05:42:52Z 2011 Thesis http://hdl.handle.net/10356/46896 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 Kyawt Na Thar Min. Speech enhancement employing Laplacian-Gaussian mixture
description	73 p.
author2	Soon Ing Yann
author_facet	Soon Ing Yann Kyawt Na Thar Min.
format	Theses and Dissertations
author	Kyawt Na Thar Min.
author_sort	Kyawt Na Thar Min.
title	Speech enhancement employing Laplacian-Gaussian mixture
title_short	Speech enhancement employing Laplacian-Gaussian mixture
title_full	Speech enhancement employing Laplacian-Gaussian mixture
title_fullStr	Speech enhancement employing Laplacian-Gaussian mixture
title_full_unstemmed	Speech enhancement employing Laplacian-Gaussian mixture
title_sort	speech enhancement employing laplacian-gaussian mixture
publishDate	2011
url	http://hdl.handle.net/10356/46896
_version_	1772825557390589952

Speech enhancement employing Laplacian-Gaussian mixture

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