AUDIO SIGNAL SEPERATION WITH SINGLE CHANNEL BLIND SOURCE SEPERATION

Blind source separation can be defined as estimating each source that makes up this mixture from a data set containing a mixture of more than one signal. Calling this process as blind specifies that there is no additional information about resources. Since it has as many signals as the number of signals to be estimated on the blind source separation, estimating sources is a cost process because of there is only one mixing signal on the single-channel blind source separation process. An unwanted noise attached to any signal can be separated from the source signal thanks to said method. Similarly two different instrumental signal sources recorded with a single microphone can be separated from each other as in this study. In this study, two signals recorded as single channel were separated from each other with non-negative matrix separation using continuous wavelet transform. The results were evaluated in terms of signal noise ratio and signal distortion ratio to evaluate the performance analysis of the proposed method