文章基本信息

标题：Reverberation suppression using AdaBoost based EMD in Noisy speech
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作者：KUSMA KUMARI CHEEPURUPALLI ; RAJA RAJESWARI KONDURI
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2013
卷号：2
期号：9
页码：4586
出版社：S&S Publications
摘要：Reverberation suppression is a crucial problem in speech communications. The intelligibility of the sp eech signal will be degraded by strong reverberation. This paper presents a novel signal processing scheme that offers an improved solution in reducing the effect of interference caused due to reverberation. It is based on the combination of empirical mode decomposition (EMD) and adaptive boosting (AdaBoost) techniques. AdaBoost based EMD filtering technique is used for reverberation corrupted speech signal to decrease the noisy components present in the received signal. An improvement in the probability of detection is achieved using the proposed algorithm. The simulation results are obtained for various reverberation times at various SNR levels.
关键词：Empirical Mode Decomposition; AdaBoost; feature extraction; signal de-noising; reverberation suppressio n