Publication Type : Conference Paper
Publisher : Journal of Intelligent and Fuzzy Systems, IOS Press
Source : Journal of Intelligent and Fuzzy Systems, IOS Press, Volume 34, Number 3, p.1701-1711 (2018)
Keywords : Bandpass filters, Different frequency, Gaussian distribution, Gaussian noise (electronic), Information filtering, Intrinsic Mode functions, Mean square error, Noisy speech signals, Objective quality measures, Spectral subtractions, Speech communication, Speech enhancement, Speech information, Variational mode decomposition (VMD), White Gaussian Noise, White noise
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electronics and Communication
Year : 2018
Abstract : In this paper, a two step approach using Variational Mode Decomposition (VMD) and ℓ 1 trend filter is proposed for enhancing speech signals degraded by white Gaussian noise. In the first step, VMD decomposes the noisy speech signal into Intrinsic Mode Functions (IMFs) corresponding to different frequency components of the signal. In the second step, ℓ 1 trend filter retrieves the speech information by filtering out the noisy sub frames. The noisy sub frames are identified using a threshold based on noise variance in the corresponding IMFs. The proposed work experiments on speech signals degraded by white Gaussian noise in the range 10dB- 30dB. The performance of proposed method is compared with some of the well known speech enhancement techniques: Spectral Subtraction (SS) and Minimized Mean Square Error (MMSE) using the subjective and objective quality measures. The proposed, two-step approach of VMD-ℓ 1 trend filter achieves better performance compared to the considered methods. © 2018 - IOS Press and the authors. All rights reserved.
Cite this Research Publication : G. B. Gowri and Dr. Soman K. P., “Enhancement of white Gaussian noise affected speech using VMD-ℓ 1 trend filter method”, in Journal of Intelligent and Fuzzy Systems, 2018, vol. 34, pp. 1701-1711.