期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：10
页码：14873-14878
DOI：10.18535/ijecs/v4i10.43
出版社：IJECS
摘要：The term “Speech Enhancement” refereed as to improve quality or intelligibility of speechsignal. Speech signal is often degraded by additive background noise like babble noise, train noise,restaurant noise etc. In such noisy environment listening task is very difficult at the end user. Many timesspeech enhancement is used for pre processing of speech for computer speech recognition system. In thismethod, the noise spectrum is estimated during speech pauses, and is subtracted from the noisy speechspectrum to estimate the clean speech. This is also achieved by multiplying the noisy speech spectrum witha gain function and later combining it with the phase of the noisy speech. The drawback of this method isthe presence of processing distortions, called remnant noise. A number of variations of the method havebeen developed over the past years to address the drawback. These variants form a family of spectralsubtractive-type algorithms. The aim of this paper is to provide a comparison and simulation study of thedifferent forms of subtraction-type algorithms viz. basic spectral subtraction, Modified Spectral Subtraction, multi-band spectral subtraction, iterative spectral subtraction, and spectral subtraction based onperceptual properties.
