Performance measurement in blind audio source separation

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Authors E. Vincent, R. Gribonval & C. FĂ©votte
Journal/Conference Name IEEE Transactions on Audio, Speech and Language Processing
Paper Category
Paper Abstract In this article, we discuss the evaluation of Blind Audio Source Separation (BASS) algorithms. Depending on the exact application, different distortions can be allowed between an estimated source and the wanted true source. We consider four different sets of such allowed distortions, from time-invariant gains to time-varying filters. In each case we decompose the estimated source into a true source part plus error terms corresponding to interferences, additive noise and algorithmic artifacts. Then we derive a global performance measure using an energy ratio, plus a separate performance measure for each error term. These measures are computed and discussed on the results of several BASS problems with various difficulty levels.
Date of publication 2006
Code Programming Language MATLAB
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