BLIND SOURCE SEPARATION USING FREQUENCY INDEPENDENT COMPONENT ANALYSIS

Language: English

Published by LAP LAMBERT Academic Publishing Jul 2010, 2010

3838338472 / 9783838338477

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This item is printed on demand - Print on Demand Titel. Neuware -The need for speech enhancement is very important, because of the acoustic environment we are living in, which is composed of noise and other atmospheric disturbances, and this makes it almost impossible to record a speech signal in pure form. In most of the mixed signals there is usually no information about each source. In such situation the estimates of the original source signals is done based on the information of the received mixed signals, therefore the approach to be adopted in such cases to separate the signals must be one that does it blindly, thus the method Blind Source Separation is used in this work. Our thesis work focuses on Frequency domain Blind Source Separation (BSS) in which the received mixed signals are converted into the frequency domain and Independent Component Analysis (ICA) is applied at each frequency bin. Our main target in this project is to solve the permutation and scaling ambiguities in real time applications using the method proposed by Minje et al in [12]. Our results show that this method works better in an 'offline' mixtures than in real time and lastly we gave some suggestions to improve the results.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.…

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Title
BLIND SOURCE SEPARATION USING FREQUENCY INDEPENDENT COMPONENT ANALYSIS
Author
Gozie Okwelume
Publisher
LAP LAMBERT Academic Publishing Jul 2010
Publication year
2010
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3838338472
ISBN 13
9783838338477
Item weight
113 grams
Dimensions
220x150x4 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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