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Speech enhancement in the Karhunen-Loeve expansion domain
This book is devoted to the study of the problem of speech enhancement whose objective is the recovery of a signal of interest (i.e., speech) from noisy observations. Typically, the recovery process is accomplished by passing the noisy observations through a linear filter (or a linear transformation...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Morgan & Claypool Publishers
2011
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/1614206 |
_version_ | 1780932341898674176 |
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author | Benesty, Jacob Chen, Jingdong |
author_facet | Benesty, Jacob Chen, Jingdong |
author_sort | Benesty, Jacob |
collection | CERN |
description | This book is devoted to the study of the problem of speech enhancement whose objective is the recovery of a signal of interest (i.e., speech) from noisy observations. Typically, the recovery process is accomplished by passing the noisy observations through a linear filter (or a linear transformation). Since both the desired speech and undesired noise are filtered at the same time, the most critical issue of speech enhancement resides in how to design a proper optimal filter that can fully take advantage of the difference between the speech and noise statistics to mitigate the noise effect as m |
id | cern-1614206 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2011 |
publisher | Morgan & Claypool Publishers |
record_format | invenio |
spelling | cern-16142062021-04-21T22:10:20Zhttp://cds.cern.ch/record/1614206engBenesty, JacobChen, JingdongSpeech enhancement in the Karhunen-Loeve expansion domainEngineeringThis book is devoted to the study of the problem of speech enhancement whose objective is the recovery of a signal of interest (i.e., speech) from noisy observations. Typically, the recovery process is accomplished by passing the noisy observations through a linear filter (or a linear transformation). Since both the desired speech and undesired noise are filtered at the same time, the most critical issue of speech enhancement resides in how to design a proper optimal filter that can fully take advantage of the difference between the speech and noise statistics to mitigate the noise effect as mMorgan & Claypool Publishersoai:cds.cern.ch:16142062011 |
spellingShingle | Engineering Benesty, Jacob Chen, Jingdong Speech enhancement in the Karhunen-Loeve expansion domain |
title | Speech enhancement in the Karhunen-Loeve expansion domain |
title_full | Speech enhancement in the Karhunen-Loeve expansion domain |
title_fullStr | Speech enhancement in the Karhunen-Loeve expansion domain |
title_full_unstemmed | Speech enhancement in the Karhunen-Loeve expansion domain |
title_short | Speech enhancement in the Karhunen-Loeve expansion domain |
title_sort | speech enhancement in the karhunen-loeve expansion domain |
topic | Engineering |
url | http://cds.cern.ch/record/1614206 |
work_keys_str_mv | AT benestyjacob speechenhancementinthekarhunenloeveexpansiondomain AT chenjingdong speechenhancementinthekarhunenloeveexpansiondomain |