Speech Enhancement Using Perceptual Wavelet Packet Decomposition and Teager Energy Operator

Authors:
Shi-Huang Chen;Jhing-Fa Wang
Affiliations:
Department of Computer Science and Information Engineering, Shu-Te University No. 59, Hun Shan Rd. Yen Chau, Kaohsiung Count, 824 Taiwan, Republic of China;Department of Electrical Engineering, National Cheng Kung University, 1 University Road, Tainan, Taiwan 701, Republic of China
Venue:
Journal of VLSI Signal Processing Systems
Year:
2004

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Abstract

It has been shown in the literature that the perceptual wavelet packet decomposition (PWPD) and the Teager energy operator (TEO) are useful for various speech processing systems and speech enhancement applications, respectively. By the use of the PWPD and the TEO, this paper presents an improved wavelet-based speech enhancement method. The main advantage of the proposed method is that the over thresholding of speech segments which is usually occurred in conventional wavelet-based speech enhancement schemes can be avoided. As a consequence, the enhanced speech quality of the proposed method can be increased substantially from those of conventional approaches. In addition, the proposed method does not require a complicated estimation of the noise level or any knowledge of the SNR. Using speech signals corrupted by additive and real noises, experimental results demonstrate that the speech enhancement method presented in this paper is capable of outperforming conventional noise cancellation schemes.