Hybrid speech enhancement with empirical mode decomposition and spectral subtraction for efficient speaker identification

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Speech enhancement is a very important pre-processing step in various speech processing applications such as speech recognition, speaker identification, speech coding, and speech synthesis. In this paper, we focus on speech enhancement prior to speaker identification, because the degradations of the speech signals may cause difficulties in hearing, understanding, and speaker recognition. The paper presents a hybrid speech enhancement method based on empirical mode decomposition combined with spectral subtraction to improve the quality of speech signals prior to speaker identification. Simulation results show an improvement in speaker recognition rates with the proposed speech enhancement method as a pre-processing step.