Khan, J.B.; Jan, T.; Khalil, R.A.; Saeed, N.; Almutiry, M. An Efficient Multistage Approach for Blind Source Separation of Noisy Convolutive Speech Mixture. Appl. Sci.2021, 11, 5968.
Khan, J.B.; Jan, T.; Khalil, R.A.; Saeed, N.; Almutiry, M. An Efficient Multistage Approach for Blind Source Separation of Noisy Convolutive Speech Mixture. Appl. Sci. 2021, 11, 5968.
Khan, J.B.; Jan, T.; Khalil, R.A.; Saeed, N.; Almutiry, M. An Efficient Multistage Approach for Blind Source Separation of Noisy Convolutive Speech Mixture. Appl. Sci.2021, 11, 5968.
Khan, J.B.; Jan, T.; Khalil, R.A.; Saeed, N.; Almutiry, M. An Efficient Multistage Approach for Blind Source Separation of Noisy Convolutive Speech Mixture. Appl. Sci. 2021, 11, 5968.
Abstract
This paper proposes a novel efficient multistage algorithm to extract source speech signals from a noisy convolutive mixture. The proposed approach comprises of two stages named Blind Source Separation (BSS) and De-noising. A hybrid source prior model separates the source signals from the noisy reverberant mixture in the BSS stage. Moreover, we model the low and high-energy components by generalized multivariate Gaussian and super-Gaussian models, respectively. We use Minimum Mean Square Error (MMSE) to reduce noise in the noisy convolutive mixture signal in the de-noising stage. Furthermore, two proposed models investigate the performance gain. In the first model, the speech signal is separated from the observed noisy convolutive mixture in the BSS stage, followed by suppression of noise in the estimated source signals in the de-noising module. In the second approach, the noise is reduced using the MMSE filtering technique in the received noisy convolutive mixture at the de-noising stage, followed by separation of source signals from the de-noised reverberant mixture at the BSS stage. We evaluate the performance of the proposed scheme in terms of signal-to-distortion ratio (SDR) with respect to other well-known multistage BSS methods. The results show the superior performance of the proposed algorithm over the other state-of-the-art methods.
Keywords
Blind Source Separation (BSS), Minimum Mean Square Error (MMSE), convolutive mixture, source Prior, generalized Gaussian distribution
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
