A toolbox to compute oracle estimators for source separation
BSS Oracle is a Matlab toolbox to evaluate the best performance achievable by a class of source separation algorithms in an evaluation framework where reference source signals are known. In other words, it computes the best demixing filters or the best time-frequency masks for a given mixture signal.
BSS Oracle implements oracle estimators for four classes of separation algorithms:
- multichannel time-invariant filtering,
- single-channel time-frequency masking,
- multichannel time-frequency masking
- best basis masking.
What it cannot do
BSS Oracle cannot separate sources blindly: it needs reference source signals to select the best separation parameters.
Read the toolbox user guide for license and install information.
- E. Vincent, R. Gribonval and M.D. Plumbley, Oracle estimators for the benchmarking of source separation algorithms, Signal Processing 87(8), p. 1933-1950, 2007.
- E. Vincent and R. Gribonval, Blind criterion and oracle bound for instantaneous audio source separation using adaptive time-frequency representations, in Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2007.
- E. Vincent, R. Gribonval and M.D. Plumbley, BSS Oracle Toolbox Version 2.1 - User Guide, 2007.
Last modified: Fri Oct 12 2007