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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/2426

Title: Speech enhancement in noisy environments for video retrieval
Authors: Zhou, H
Sadka, A H
Jiang, M
Publication Date: 2008
Publisher: IEEE
Citation: Ninth International Workshop on Image Analysis for Multimedia Interactive Services. Klagenfurt, Austria. May 7-9, 2008.
Abstract: In this paper, we propose a novel spectral subtraction approach for speech enhancement via maximum likelihood estimate (MLE). This scheme attempts to simulate the probability distribution of useful speech signals and hence maximally reduce the noise. To evaluate the quality of speech enhancement, we extract cepstral features from the enhanced signals, and then apply them to a dynamic time warping framework for similarity check between the clean and filtered signals. The performance of the proposed enhancement method is compared to that of other classical techniques. The entire framework does not assume any model for the background noise and does not require any noise training data.
URI: http://bura.brunel.ac.uk/handle/2438/2426
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Computer Engineering Research Papers

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