Speech Signal Extraction Utilizing PCA-ICA Algorithm With A Non-Uniform Spacing Microphone Array

Speech signal extraction is becoming more and more important as evidently displayed by its numerous applications such as mobile phones, conference equipment and surveillance. This paper presents a blind method to enhance a speech source of interest in noisy environments. The proposed technique consi...

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Main Authors: Nordholm, Sven, Low, Siow Yong
Other Authors: ICASSP'06 Technical Committee
Format: Conference Paper
Published: IEEE Operations Centre 2006
Online Access:http://hdl.handle.net/20.500.11937/13262
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author Nordholm, Sven
Low, Siow Yong
author2 ICASSP'06 Technical Committee
author_facet ICASSP'06 Technical Committee
Nordholm, Sven
Low, Siow Yong
author_sort Nordholm, Sven
building Curtin Institutional Repository
collection Online Access
description Speech signal extraction is becoming more and more important as evidently displayed by its numerous applications such as mobile phones, conference equipment and surveillance. This paper presents a blind method to enhance a speech source of interest in noisy environments. The proposed technique consists of the principal component analysis (PCA) and the independent component analysis (ICA) to extract the speech signal. In an effort to overcome the small phase resolution due to the constraint on the inter-element distance, a non-uniform spacing PCA-ICA algorithm is suggested. By utilizing a different inter-element distance processing on each pair of microphones in a multistage fashion, a better separation is achieved. Results show better separation performance for the proposed method compared to the uniformly spaced microphone array.
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publishDate 2006
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spelling curtin-20.500.11937-132622017-09-13T14:58:45Z Speech Signal Extraction Utilizing PCA-ICA Algorithm With A Non-Uniform Spacing Microphone Array Nordholm, Sven Low, Siow Yong ICASSP'06 Technical Committee Speech signal extraction is becoming more and more important as evidently displayed by its numerous applications such as mobile phones, conference equipment and surveillance. This paper presents a blind method to enhance a speech source of interest in noisy environments. The proposed technique consists of the principal component analysis (PCA) and the independent component analysis (ICA) to extract the speech signal. In an effort to overcome the small phase resolution due to the constraint on the inter-element distance, a non-uniform spacing PCA-ICA algorithm is suggested. By utilizing a different inter-element distance processing on each pair of microphones in a multistage fashion, a better separation is achieved. Results show better separation performance for the proposed method compared to the uniformly spaced microphone array. 2006 Conference Paper http://hdl.handle.net/20.500.11937/13262 10.1109/ICASSP.2006.1661438 IEEE Operations Centre restricted
spellingShingle Nordholm, Sven
Low, Siow Yong
Speech Signal Extraction Utilizing PCA-ICA Algorithm With A Non-Uniform Spacing Microphone Array
title Speech Signal Extraction Utilizing PCA-ICA Algorithm With A Non-Uniform Spacing Microphone Array
title_full Speech Signal Extraction Utilizing PCA-ICA Algorithm With A Non-Uniform Spacing Microphone Array
title_fullStr Speech Signal Extraction Utilizing PCA-ICA Algorithm With A Non-Uniform Spacing Microphone Array
title_full_unstemmed Speech Signal Extraction Utilizing PCA-ICA Algorithm With A Non-Uniform Spacing Microphone Array
title_short Speech Signal Extraction Utilizing PCA-ICA Algorithm With A Non-Uniform Spacing Microphone Array
title_sort speech signal extraction utilizing pca-ica algorithm with a non-uniform spacing microphone array
url http://hdl.handle.net/20.500.11937/13262