Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Speech Enhancement via EMD | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 873204 8 pages doi 2008 873204 Research Article Speech Enhancement via EMD Kais Khaldi 1 1 2 Abdel-Ouahab Boudraa 2 3 Abdelkhalek Bouchikhi 2 3 and Monia Turki-Hadj Alouane1 1 Unité Signaux et Systèmes ENIT BP 37 Le Belvédère 1002 Tunis Tunisia 2IRENav Ecole Navale Lanveoc Poulmic BP600 29200 Brest-Armees France 3E3I2 EA 3876 ENSIETA 2 rue Francois Verny 29806 Brest Cedex 09 France Correspondence should be addressed to Abdel-Ouahab Boudraa boudra@ Received 13 August 2007 Accepted 5 March 2008 Recommended by Nii Attoh-Okine In this study two new approaches for speech signal noise reduction based on the empirical mode decomposition EMD recently introduced by Huang et al. 1998 are proposed. Based on the EMD both reduction schemes are fully data-driven approaches. Noisy signal is decomposed adaptively into oscillatory components called intrinsic mode functions IMFs using a temporal decomposition called sifting process. Two strategies for noise reduction are proposed filtering and thresholding. The basic principle of these two methods is the signal reconstruction with IMFs previously filtered using the minimum mean-squared error MMSE filter introduced by I. Y. Soon et al. 1998 or thresholded using a shrinkage function. The performance of these methods is analyzed and compared with those of the MMSE filter and wavelet shrinkage. The study is limited to signals corrupted by additive white Gaussian noise. The obtained results show that the proposed denoising schemes perform better than the MMSE filter and wavelet approach. Copyright 2008 Kais Khaldi et al. 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. 1. INTRODUCTION Speech enhancement is a classical problem in signal pro- cessing .
