JCC  Vol.2 No.9 , July 2014
Speech Signal Recovery Based on Source Separation and Noise Suppression
Abstract: In this paper, a speech signal recovery algorithm is presented for a personalized voice command automatic recognition system in vehicle and restaurant environments. This novel algorithm is able to separate a mixed speech source from multiple speakers, detect presence/absence of speakers by tracking the higher magnitude portion of speech power spectrum and adaptively suppress noises. An automatic speech recognition (ASR) process to deal with the multi-speaker task is designed and implemented. Evaluation tests have been carried out by using the speech da- tabase NOIZEUS and the experimental results show that the proposed algorithm achieves impressive performance improvements.
Cite this paper: Wang, Z. , Zhang, H. and Bi, G. (2014) Speech Signal Recovery Based on Source Separation and Noise Suppression. Journal of Computer and Communications, 2, 112-120. doi: 10.4236/jcc.2014.29015.

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