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Mahmoud Fakhry

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Factorization Engineering & Materials Science
Source separation Engineering & Materials Science
Speech enhancement Engineering & Materials Science
factorization Physics & Astronomy
divergence Physics & Astronomy
Classifiers Engineering & Materials Science
matrices Physics & Astronomy
Support vector machines Engineering & Materials Science

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Research Output 2017 2018

  • 1 Article in proceeding
  • 1 Journal article
2 Citations (Scopus)
113 Downloads (Pure)

Speech Enhancement by Classification of Noisy Signals Decomposed Using NMF and Wiener Filtering

Fakhry, M., Poorjam, A. H. & Christensen, M. G., 2018, 26th European Signal Processing Conference (EUSIPCO). IEEE, 5 p. 8553123. (Proceedings of the European Signal Processing Conference).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
Speech enhancement
Support vector machines
3 Citations (Scopus)

Audio Source Separation in Reverberant Environments Using β-Divergence-Based Nonnegative Factorization

Fakhry, M., Svaizer, P. & Omologo, M., 2017, In : I E E E Transactions on Audio, Speech and Language Processing. 25, 7, p. 1462 - 1476 15 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Source separation