Speech enhancement in noisy environments for video retrieval

Zhou, Huiyu and Sadka, Abdul and Jiang, Richard M. (2008) Speech enhancement in noisy environments for video retrieval. In: 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services. WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services . IEEE, AUT, pp. 197-200. ISBN 9780769531304

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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.

Item Type:
Contribution in Book/Report/Proceedings
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1707
Subjects:
ID Code:
134376
Deposited By:
Deposited On:
22 Jun 2019 01:03
Refereed?:
Yes
Published?:
Published
Last Modified:
11 Feb 2020 06:40