Source separation is an attractive preprocessing step for applying digital audio effects to a single source inside a signal mix. We present a performance analysis of a source separation algorithm based on time-frequency processing and its application to digital audio effects. The performance analysis gives insight to the main analysis parameters for the detection of the number of source signals inside the signal mix. We also analyze the main design parameters for the demixing operation which extracts a single source out of the signal mix.

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Source separation out of a mix of signals has been under development for many years with different approaches. We use timefrequency representations of two microphone signals to estimate the mixing parameters of the source signals. In order to evaluate the robustness of the algorithm under real-world conditions we built a real-time implementation, which is suitable to detect the sources, their mixing parameters and performs the source separation based on the mixing parameters. Our implementation only needs a few parameters and then works as a stand-alone solution with the opportunity to apply further post-processing or digital audio effects to the source signals.

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