Performance measurement in blind audio source separation
By: Researcher II
Disclaimer: “The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).”
Please contact us in case of a broken link from here
| Authors | E. Vincent, R. Gribonval & C. Févotte |
| Journal/Conference Name | IEEE Transactions on Audio, Speech and Language Processing |
| Paper Category | ECE |
| 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 |
| Comment |
Copyright Researcher II 2022