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AL-Rafidain Journal of Computer Sciences and Mathematics

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A Comparative Study of Methods for Separating Audio Signals

    Riham J. Issa Yusra Mohammad

AL-Rafidain Journal of Computer Sciences and Mathematics, 2020, Volume 14, Issue 2, Pages 39-49
10.33899/csmj.2020.167345

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Abstract

The process of separating signal from a mixture of signals represents an essential task for many applications including sound signal processing and speech processing systems as well as medical signal processing. In this paper, a review of sound source separation problem has been presented, as well as the methods used to extract features from the audio signal, also, we define the Blind source separation problem and comparing between some of the methods used to solve the problem of source separation.
 
Keywords:
    Blind Source Separation Independent Component Analysis Deep Neural Networks
Main Subjects:
  • Artificial Intelligence
  • Computer Science
  • Image Processing, Computer Vision, Pattern Recognition & Graphics
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(2020). A Comparative Study of Methods for Separating Audio Signals. AL-Rafidain Journal of Computer Sciences and Mathematics, 14(2), 39-49. doi: 10.33899/csmj.2020.167345
Riham J. Issa; Yusra Mohammad. "A Comparative Study of Methods for Separating Audio Signals". AL-Rafidain Journal of Computer Sciences and Mathematics, 14, 2, 2020, 39-49. doi: 10.33899/csmj.2020.167345
(2020). 'A Comparative Study of Methods for Separating Audio Signals', AL-Rafidain Journal of Computer Sciences and Mathematics, 14(2), pp. 39-49. doi: 10.33899/csmj.2020.167345
A Comparative Study of Methods for Separating Audio Signals. AL-Rafidain Journal of Computer Sciences and Mathematics, 2020; 14(2): 39-49. doi: 10.33899/csmj.2020.167345
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