2022
DOI: 10.3233/jifs-211236
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Ideal ratio mask estimation using supervised DNN approach for target speech signal enhancement

Abstract: The most challenging process in recent Speech Enhancement (SE) systems is to exclude the non-stationary noises and additive white Gaussian noise in real-time applications. Several SE techniques suggested were not successful in real-time scenarios to eliminate noises in the speech signals due to the high utilization of resources. So, a Sliding Window Empirical Mode Decomposition including a Variant of Variational Model Decomposition and Hurst (SWEMD-VVMDH) technique was developed for minimizing the difficulty i… Show more

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Cited by 2 publications
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