Sunday, 23 April 2017

IEEE Paper Review:Blind Audio Source Separation Using Wiener Filtering Approach

            This IEEE paper discusses an interesting application called Blind Audio Source Separation. This is used to recover the source signals from the mixture of signals. In case of Blind audio separation,the characteristics of the filter are not known. The source signals can be considered as a mixture of information and interference. These signals may be coming from different sources. Considering this mixture as a linear combination of these signals, the authors have developed a method to isolate 2-3 signals using the Weiner filtering approach and Short-time Fourier Transform(STFT). The output is a complex signal,this approach removes the complexity of the signal. The areas of application are Speech Processing and Telecommunication.

IEEE Paper Link: http://ieeexplore.ieee.org/document/7359371/

19 comments:

  1. It would be interesting to implement.

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  2. Good application of Fourier Transform

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  3. Replies
    1. Check more IEEE papers for a better understanding.

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  4. Replies
    1. Refer to IEEE explore for a better review.

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  5. Replies
    1. Similar to frequency hopping and pseudo random noise generators.

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  6. Wiener is considered to be the most effective method for filtering till date

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    1. Weiner filtering is fast. Other algorithms can also be be used.

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  7. Wiener filtering is one of the most advanced Techniques of filtering

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    1. It is faster compared to other conventional methods.

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