Most accurate method of Voice Activity Detection? What is currently the most accurate Voice Activity Detection algorithm with high levels of background noise? I would also appreciate if it does not require any manual calibration. Bonus points for examples. 

EDIT: I am referring to accuracy as yielding the lowest amount of false positives and negatives.
If you have more than 1 detectors, you may try blind separation based on the power spectrum difference of voice and background noise