A Comparative Study of Methods for Separating Audio Signals | ||
AL-Rafidain Journal of Computer Sciences and Mathematics | ||
Article 12, Volume 14, Issue 2, December 2020, Pages 39-49 PDF (1.05 M) | ||
Document Type: Research Paper | ||
DOI: 10.33899/csmj.2020.167345 | ||
Authors | ||
Riham J. Issa* 1; Yusra Mohammad2 | ||
1College of Computer Sciences and Mathematics University of Mosul, Mosul, Iraq | ||
2college of computer science and mathematics / Mosul university | ||
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 | ||
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