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A geometric approach for separating several speech signals

Babaie Zadeh, M ; Sharif University of Technology | 2004

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  1. Type of Document: Article
  2. DOI: 10.1007/978-3-540-30110-3_101
  3. Publisher: Springer Verlag , 2004
  4. Abstract:
  5. In this paper a new geometrical approach for separating speech signals is presented. This approach can be directly applied to separate more than two speech signals. It is based on clustering the observation points, and then fitting a line (hyper-plane) onto each cluster. The algorithm quality is shown to be improved by using DCT coefficients of speech signals, as opposed to using speech samples. © Springer-Verlag 2004
  6. Keywords:
  7. Blind source separation ; Speech ; Independent component analysis
  8. Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; Volume 3195 , 2004 , Pages 798-806 ; 03029743 (ISSN); 3540230564 (ISBN); 9783540230564 (ISBN)
  9. URL: https://link.springer.com/chapter/10.1007/978-3-540-30110-3_101