Speech Enhancement Based on EMD and Wavelet Threshold in Noisy Environments

Abstract:

Speech enhancement is crucial for speech recognition accuracy. How to eliminate the effect of the noise constitutes a challenging problem in speech processing. This paper presents a new technique for speech enhancement in a noisy environment based on the empirical mode decomposition (EMD) algorithm and wavelet threshold. With the EMD, the noise speech signals can be decomposed into a sum of the band-limited function called intrinsic mode functions (IMFs), which is a zero-mean AM-FM component. Then wavelet threshold of the IMF components can be used to eliminate the effect of the noise for speech enhancement. Experimental results show that the proposed speech enhancement by de-noising algorithm is possible to achieve an excellent balance between suppresses noise effectively and preserves as many target characteristics of original signal as possible.

• Periodical: Advanced Materials Research (Volumes 989-994)
• Pages: 3654-3657
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.989-994.3654
• Online since: July 2014
• Authors: Zi Qin Chen*, De Xiang Zhang, Da Ling Yuan
• Keywords: EMD, Noisy Environments, Speech Enhancement, Wavelet Threshold

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