Open AccessA Comparative Study of Methods for Separating Audio Signals
Author(s) -
Riham J. Issa,
Yusra Faisal Mohammad
Publication year - 2020
Publication title -
maǧallaẗ al-rāfidayn li-ʿulūm al-ḥāsibāt wa-al-riyāḍiyyāẗ/al-rafidain journal for computer sciences and mathematics
Language(s) - English
Resource type - Journals
eISSN - 2311-7990
pISSN - 1815-4816
DOI - 10.33899/csmj.2020.167345
Subject(s) - blind signal separation , source separation , computer science , audio signal processing , signal processing , speech recognition , audio signal , signal (programming language) , speech processing , task (project management) , process (computing) , sound recording and reproduction , digital signal processing , acoustics , speech coding , engineering , telecommunications , computer hardware , operating system , channel (broadcasting) , physics , systems engineering , programming language
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.
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