1. A method comprising: weighting a first automatic speech recognition model, to yield a weighted first automatic speech recognition model; weighting a second automatic speech recognition model, to yield a weighted second automatic speech recognition model; converting, via a processor, a speech document to text using the weighted first automatic speech recognition model, to yield a first transcript; converting, via the processor, the speech document to text using the weighted second automatic speech recognition model, to yield a second transcript; receiving, from a user, a judgment of perceived accuracy of the first transcript and the second transcript; and updating, via the processor, the weighted first automatic speech recognition model and the weighted second automatic speech recognition model based on the judgment.
1. A method comprising: weighting a first automatic speech recognition model, to yield a weighted first automatic speech recognition model; weighting a second automatic speech recognition model, to yield a weighted second automatic speech recognition model; converting, via a processor, a speech document to text using the weighted first automatic speech recognition model, to yield a first transcript; converting, via the processor, the speech document to text using the weighted second automatic speech recognition model, to yield a second transcript; receiving, from a user, a judgment of perceived accuracy of the first transcript and the second transcript; and updating, via the processor, the weighted first automatic speech recognition model and the weighted second automatic speech recognition model based on the judgment. 7. The method of claim 1 , wherein the weighted first automatic speech recognition model and the weighted second automatic speech recognition model each contain saliency weights to words in the speech document.