System and Method for Optimizing Speech Recognition and Natural Language Parameters with User Feedback

摘要

Disclosed herein are systems, methods, and non-transitory computer-readable storage media for assigning saliency weights to words of an ASR model. The saliency values assigned to words within an ASR model are based on human perception judgments of previous transcripts. These saliency values are applied as weights to modify an ASR model such that the results of the weighted ASR model in converting a spoken document to a transcript provide a more accurate and useful transcription to the user.

主权项

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 the 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.