Automatic accuracy estimation for audio transcriptions

摘要

Embodiments of the present invention provide an approach for estimating the accuracy of a transcription of a voice recording. Specifically, in a typical embodiment, each word of a transcription of a voice recording is checked against a customer-specific dictionary and/or a common language dictionary. The number of words not found in either dictionary is determined. An accuracy number for the transcription is calculated from the number of said words not found and the total number of words in the transcription.

主权项

1. A computer-implemented method for estimating the accuracy of a transcription of a voice recording, comprising:
calculating an accuracy number by dividing a number of accurate words in the transcript on by a total number of words in the transcription; assigning a greater weight to at least one word exceeding a predefined number of characters as compared to at least one other word below the predetermined number of characters; automatically extracting using natural language processing, from a data structure that is one of a common language dictionary, customer specific dictionary or a knowledge base, a set of axioms associated with at least one of the words in the transcription, wherein the set of axioms comprises a computer-parsable definition of a relationship of data to the at least one of the words; and assigning a confidence level to each axiom of the set of axioms based on a result of the dividing and the assigning of weight, wherein the confidence level is assigned based on an output of a Gaussian function applied to a result of the dividing and the assigning of weight.