Enhanced Estimation of Power Spectral Density of Noise using the Wavelet Transform
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F07%3APU68709" target="_blank" >RIV/00216305:26220/07:PU68709 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Enhanced Estimation of Power Spectral Density of Noise using the Wavelet Transform
Original language description
In practice, different methods for enhancing speech hidden in noise are used but none of the available methods is universal; it is always designed for only a certain type of interference that is to be suppressed. Since enhancing speech masked in noise isof fundamental significance for further speech signal processing (subsequent recognition of speaker or type of language, compression, and processing for transmission or storing, etc.), it is necessary to find a reliable method that would work even underconsiderable interference and will be modifiable for different types of interference and noise. The methods known to date can basically be divided into two large groups: single-channel methods and multi-channel methods. The basic problem of these methods lies in a rapid and precise method for estimating noise, on which the quality of enhancement method depends. If the noise is of stationary or quasi-stationary nature, its determination brings further difficulties. A method is proposed i
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Personal Wireless Communications
ISBN
978-0-387-74159-8
Number of pages of the result
12
Pages from-to
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Number of pages of the book
200
Publisher name
Springer
Place of publication
USA
UT code for WoS chapter
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