@article{MAKHILLRJAS2014959380,
    title = {Blind Techniques for Improving Speech Mixtures Using an Adaptive Method},
    journal = {Research Journal of Applied Sciences},
    volume = {9},
    number = {5},
    pages = {262-273},
    year = {2014},
    issn = {1815-932x},
    doi = {rjasci.2014.262.273},
    url = {https://makhillpublications.co/view-article.php?issn=1815-932x&doi=rjasci.2014.262.273},
    author = {Jasmine J.C. and},
    keywords = {Blind source separation,Blind source separation,blind dereverberation,adaptive equalization,Constant Modulus algorithm},
    abstract = {Speech signals are recorded by a distant microphone in an 
  enclosed space, frequently tainted by interferences of many speech signals and 
  reverberations of room. Accordingly, the separation of speech signals is important 
  and allows the process of Blind Source Separation (BSS) and Blind De-reverberation 
  (BD). The signified frequency-domain BSS and Independent Component Analysis 
  (ICA) are utilized for separation process. Subsequently, the permutation ambiguities 
  of the ICA solutions are prearranged and the separated signals are shaped accurately 
  in the time domain. While most speech enhancement algorithms improve the excellence 
  of speech but not increase speech transparency in reverberation. This motivates 
  the improvement of an algorithm that can be modified for an acoustic environment 
  and recover speech transparency. This study proposes the Adaptive Equalization 
  Method for dereverberation and Savitzky-Golay filtering is used to reduce the 
  noise.}
    }